GitHub Universe 2023 opening keynote- Copilot in the Age of AI

Summary

Thomas Dohmke eröffnet mit einer visionären Rede über die Zukunft der Softwareentwicklung durch GitHub Copilot, eine bahnbrechende KI-gestützte Entwicklungsumgebung. Seit 2020 revolutioniert Copilot die Entwicklerwelt, indem es die Produktivität um 55% steigert und eine nahtlose Integration in den gesamten Entwicklungszyklus bietet. Mit über einer Million Nutzern in 190 Ländern und der Einführung von Copilot X für eine umfassende Lebenszyklusunterstützung treibt GitHub die Innovation voran. Satya Nadella, CEO von Microsoft, betont die transformative Kraft von Copilot für die Softwareentwicklung und dessen Rolle als neue universelle Programmiersprache. Copilot Workspace wird als die nächste Stufe dieser Partnerschaft vorgestellt, die Entwicklern ermöglicht, Ideen durch natürliche Sprache effizient in Code umzusetzen.

Takeaways

• 😮 GitHub hat Copilot entwickelt, ein KI-basiertes Tool, das Entwicklern bei der Programmierung hilft und ihre Produktivität um 55% steigern kann.
• 🤖 Copilot nutzt große Sprachmodelle und maschinelles Lernen, um Programmieraufgaben zu automatisieren und natürliche Sprache in Code zu übersetzen.
• 🌐 Copilot ist jetzt in die gesamte GitHub-Plattform integriert und unterstützt Entwickler bei Pull-Requests, Sicherheitsüberprüfungen, Dokumentation und mehr.
• 📲 Copilot Chat wird auf mobilen Geräten verfügbar sein und Entwicklern helfen, unterwegs auf Fragen zur Programmierung zu antworten.
• 🧩 Mit Copilot Enterprise können Unternehmen das Tool an ihre eigenen Codebases und Konventionen anpassen.
• 🔐 Copilot bringt KI in die Sicherheitsaspekte der Softwareentwicklung und hilft dabei, Schwachstellen und Geheimnisse im Code zu finden.
• 🧑‍💻 Copilot zielt darauf ab, die natürliche Sprache zur neuen universellen Programmiersprache zu machen und den Zugang zur Softwareentwicklung zu demokratisieren.
• 🚀 GitHub arbeitet an Copilot Workspace, einer Vision, bei der Entwickler ihre Kreativität durch natürliche Sprache in Minuten in Code umsetzen können.
• 🤝 Microsoft und GitHub arbeiten zusammen, um Copilot in Unternehmen einzuführen und die digitale Transformation voranzutreiben.
• ✨ Copilot stellt eine symbiotische Partnerschaft zwischen Mensch und Maschine dar, um die Grenzen der Softwareentwicklung zu erweitern.

Q & A

Was ist GitHub Copilot und wie funktioniert es?

GitHub Copilot ist ein KI-basierter Programmierbeistand, der Entwicklern dabei hilft, Code schneller und effizienter zu schreiben. Es nutzt große Sprachmodelle, um Code-Vervollständigungen, Erklärungen und Dokumentationen basierend auf dem Kontext und den Anforderungen des Entwicklers zu generieren.

Welche neuen Funktionen für Copilot wurden auf der GitHub Universe vorgestellt?

Es wurden mehrere neue Funktionen angekündigt, darunter Copilot Chat (natürliche Sprachunterstützung in Editoren und mobilen Apps), die Integration von Copilot in GitHub.com (Pull-Requests, Code-Erklärungen), KI-gestützte Code-Scans zur Fehlerbehebung und Geheimnis-Erkennung sowie eine organisationsspezifische Version von Copilot Enterprise.

Wie viele Unternehmen und Organisationen nutzen Copilot laut der Präsentation?

Laut der Präsentation nutzen über 37.000 Organisationen GitHub Copilot, um ihre Produktivität zu steigern.

Was ist Copilot Enterprise und wie unterscheidet es sich vom regulären Copilot?

Copilot Enterprise ist eine Version von Copilot, die an die spezifischen Anforderungen und den Codestil einer Organisation angepasst ist. Es wird auf den internen Codebases und Dokumentationen der jeweiligen Organisation trainiert, um ein tieferes Verständnis und präzisere Vorschläge für die Entwickler zu liefern.

Welche Produktivitätssteigerungen wurden durch den Einsatz von Copilot erzielt?

Laut den Angaben in der Präsentation machen Copilot Entwickler bereits 55% schneller beim Codieren und gibt es die größten Produktivitätssteigerungen im ersten Jahr einer neuen Entwickler-Werkzeugs.

Was ist Copilot Workspace und wie funktioniert es?

Copilot Workspace ist eine Vision für eine neue Arbeitsumgebung, die es Entwicklern ermöglicht, natürliche Sprache zu nutzen, um GitHub-Issues in Code umzusetzen. Copilot schlägt basierend auf dem Issue einen Lösungsplan vor und implementiert den Code über das gesamte Repository. Es ist für die Zusammenarbeit ausgelegt und automatisiert Teile des Entwicklungsprozesses.

Welche Rolle spielte Microsoft bei der Entwicklung von Copilot?

Microsoft ist seit der Übernahme von GitHub im Jahr 2018 an der Weiterentwicklung der Plattform beteiligt. Der Microsoft CEO Satya Nadella betonte in der Präsentation die enge Zusammenarbeit zwischen Microsoft und GitHub bei Copilot und der Nutzung von KI zur Unterstützung von Entwicklern.

Wie sollen die neuen Copilot-Funktionen die Softwareentwicklung demokratisieren?

Durch die Integration von natürlicher Sprache in den Entwicklungsprozess soll der Einstieg in die Programmierung für mehr Menschen erleichtert werden. Laut Satya Nadella könnte Copilot dabei helfen, die Programmierfähigkeiten auf Milliarden von Menschen auszuweiten.

Welche bekannten Unternehmen waren am GitHub Copilot Partner-Programm beteiligt?

In der Präsentation wurden Red Hat, CACI Corp, Datadog und mehr als frühe Partner für die Erweiterung von Copilot auf andere Tools und Anwendungsfälle genannt.

Wie wird die Preisgestaltung für die neuen Copilot-Funktionen aussehen?

Alle neuen Funktionen wie Copilot Chat, Integration in GitHub.com und mobile Apps sind im bestehenden Copilot-Abonnement zum gleichen Preis enthalten. Copilot Enterprise für die organisationsspezifische Version wird ab Februar 2024 für 39$ pro Nutzer verfügbar sein.

Outlines

00:00

😄 Thomas Dohmke begrüßt die Zuschauer und kündigt eine Disruption der Softwareentwicklung an

Thomas Dohmke, ein Entwickler, begrüßt das Publikum und kündigt an, dass GitHub heute etwas vorstellen wird, das die Softwareentwicklung revolutionieren wird. Er erinnert daran, dass GitHub schon 2020 begonnen hatte, ein automatisiertes Perpetual Gamma-Modell auf Basis von GPT-3 zu entwickeln, das Programmiereraufgaben lösen konnte. Dieses Modell führte zur Entwicklung von GitHub Copilot, das nun von über 1 Million Entwicklern weltweit genutzt wird und zu einer Produktivitätssteigerung von 55% geführt hat.

05:01

😎 Live-Demo zur Entwicklung einer App mit GitHub Copilot

In einer Live-Demo zeigt Allison, wie GitHub Copilot dabei hilft, eine neue React-App namens 'My First Commit' zu entwickeln. Sie verwendet Copilot, um den Projektaufbau zu generieren, Code und Tests zu schreiben, das UI zu aktualisieren und Dokumentation zu erstellen. Copilot unterstützt sie durch Code-Vervollständigung, natürliche Sprachverarbeitung und intelligente Vorschläge während des gesamten Entwicklungsprozesses.

10:03

🤩 Einführung von Copilot Chat für mobile Geräte und andere IDEs

Copilot Chat, eine Funktion zum Stellen von Programmier-Fragen in natürlicher Sprache, wird nun auf mobilen Geräten über eine native iOS- und Android-App verfügbar sein. Darüber hinaus wird Copilot Chat in andere IDEs wie Visual Studio, Visual Studio Code, WebStorm und andere JetBrains-IDEs integriert. Copilot Chat nutzt nun GPT-4 und bietet kontextbezogene Antworten aus dem aktuellen Editor sowie Slash-Befehle und intelligente Aktionen.

15:04

🚀 Einführung von Copilot in GitHub.com und weitere KI-Funktionen

GitHub kündigt die Integration von Copilot in GitHub.com an. Copilot kann nun dabei helfen, Pull-Request-Beschreibungen zu generieren, Code zu erklären, Schwachstellen zu finden und automatisch Sicherheitsprobleme zu beheben. Darüber hinaus wird eine neue KI-gestützte Funktion zur Erkennung von geheimnissen wie Passwörtern und eine Assistent für die Erstellung regulärer Ausdrücke vorgestellt. All diese Funktionen sind in der bestehenden Copilot-Subskription enthalten.

20:05

🧠 Demonstration von Copilot zur Programmverständnis und Codeintelligenz

Colin zeigt, wie Copilot dabei helfen kann, komplexe Codebases und Systeme besser zu verstehen. Copilot kann Fragen zu internen Dokumenten, Repositorys und Code beantworten, indem es den Kontext der Organisation nutzt. Durch das Feintuning des Sprachmodells auf die Codebasis des Unternehmens kann Copilot sogar den spezifischen Codingstil und Konventionen der Organisation erlernen. Darüber hinaus kann Copilot über APIs mit externen Tools wie Monitoring, Deployment und Feature Flags integriert werden.

25:07

🌐 Partnerschaft zwischen Accenture und GitHub zur Verbreitung von Copilot

Accenture und GitHub arbeiten zusammen, um die Vorteile der assistierten Softwareentwicklung durch Copilot in Unternehmen zu realisieren. Accenture hat Copilot bereits im großen Stil eingesetzt und plant, es für 50.000 Entwickler verfügbar zu machen. Gemeinsam entwickeln sie Lösungen unter Verwendung von Copilot, integrieren es in Accentures Automatisierungsplattformen und verbreiten es in Kundenunternehmen. Dies soll Organisationen dabei helfen, die digitale Transformation durch Steigerung der Entwicklerproduktivität voranzutreiben.

30:09

🤝 Satya Nadella von Microsoft diskutiert Copilot und natürliche Sprache

Satya Nadella, CEO von Microsoft, spricht über seine Begeisterung für GitHub Copilot und wie es ihm den Spaß am Programmieren zurückgegeben hat. Er sieht in Copilot ein Werkzeug, das Entwicklern hilft, in einem Flow zu bleiben und Freude an ihrer Arbeit zu finden. Nadella betrachtet natürliche Sprache als universelle Programmiersprache, die den Zugang zur Softwareentwicklung demokratisieren und es ermöglichen wird, Milliarden von Menschen in den Prozess einzubeziehen. Er lobt die Integration von Copilot in GitHub.com und die Zusammenarbeit zwischen Microsoft und GitHub.

35:10

👨‍💻 Die Zukunft der Softwareentwicklung mit natürlicher Sprache

Satya Nadella diskutiert die Zukunft der Softwareentwicklung mit natürlicher Sprache. Er sieht in der Verwendung von natürlicher Sprache einen Weg, die Zugänglichkeit und Zusammenarbeit in der Softwareentwicklung zu verbessern. Nadella ist begeistert von der Möglichkeit, dass verschiedene Rollen wie Produktmanager, Marketing und Vertrieb mit Entwicklern in natürlicher Sprache zusammenarbeiten können. Er sieht in der Integration von Copilot in den gesamten Entwicklungslebenszyklus, von der Ideenfindung bis zum Deployment, ein Game-Changer für digitale Unternehmen.

40:10

🔮 Ankündigung von Copilot Workspace für den nächsten Schritt der KI-Entwicklung

GitHub kündigt Copilot Workspace an, ein revolutionäres Konzept, das es Entwicklern ermöglicht, mit natürlicher Sprache ganze Repositorys zu bearbeiten. Ausgehend von GitHub-Issues schlägt Copilot Workspace Lösungen vor, erstellt Implementierungspläne, generiert Code, baut und testet Änderungen. Das Ganze ist für die Zusammenarbeit ausgelegt, mit der Möglichkeit, Vorschläge anzupassen und automatische Fehlerbehebung. Copilot Workspace soll 2024 veröffentlicht werden und einen Schritt in Richtung einer Ära darstellen, in der Entwickler KI als zweites Hirn nutzen können.

45:11

🎉 Abschlussworte und Dank an die Mitwirkenden

Zum Abschluss werden die wichtigsten Ankündigungen und Innovationen noch einmal zusammengefasst. Es wird betont, dass GitHub mit Copilot die Softwareentwicklung revolutionieren will. Ein besonderer Dank geht an das gesamte GitHub-Team, das hart daran gearbeitet hat, diesen Meilenstein zu erreichen. Die Präsentatoren Allison, Kedasha und Colin werden für ihre Leistungen gelobt.

Keywords

💡Copilot

Copilot ist ein KI-gesteuertes Entwicklertool, das GitHub entwickelt hat. Es unterstützt Entwickler dabei, schneller und effizienter zu kodieren, indem es Code-Ergänzungen und -Vorschläge liefert. Copilot soll die Produktivität der Entwickler laut dem Video um 55 % steigern. Es ist ein zentrales Konzept im Video und wird als 'Copilot-Plattform' positioniert, die den gesamten Entwicklungsprozess von der Ideenfindung bis zur Bereitstellung unterstützt.

💡Künstliche Intelligenz (KI)

Künstliche Intelligenz ist die treibende Kraft hinter Copilot. Laut dem Video ermöglicht KI Tools wie Copilot, die Entwicklungsarbeit zu beschleunigen und sogar ganze Aufgaben zu automatisieren. KI wird als 'Strom' für die neue GitHub-Plattform dargestellt, die den gesamten Entwicklungszyklus antreibt. Das Video zeigt Beispiele, wie KI Code generieren, Dokumentation erstellen, Sicherheitslücken finden und beheben sowie die gesamte Zusammenarbeit erleichtern kann.

💡Natürliche Sprache

Natürliche Sprache wird im Video als der neue 'universelle Programmiersprachcode' bezeichnet. Mit Copilot können Entwickler Aufgaben und Anforderungen in natürlicher Sprache formulieren, und das System generiert dann Code oder liefert Erklärungen. Diese Chat-Funktion wird als revolutionär dargestellt, da sie die Programmierung demokratisiert und für jedermann zugänglicher macht. Dies ist insbesondere mit dem neuen 'Copilot Chat' der Fall, der direkt in Editoren und auf mobilen Geräten integriert ist.

💡Produktivitätssteigerung

Eine Hauptbotschaft des Videos ist, dass Copilot die Produktivität von Entwicklern drastisch erhöht. Laut der Präsentation macht Copilot Entwickler bereits im ersten Jahr 55 % effizienter, was als 'größte Produktivitätssteigerung seit Weile' bezeichnet wird. Das Video argumentiert, dass Copilot es Entwicklern ermöglicht, sich auf kreativere Aufgaben zu konzentrieren, anstatt mit Routinearbeiten Zeit zu verschwenden. Diese enormen Effizienzgewinne werden als Schlüssel zur digitalen Transformation von Unternehmen dargestellt.

💡Code-Verständnis

Eine weitere wichtige Funktion von Copilot ist die Fähigkeit, vorhandenen Code zu verstehen und zu erklären. Laut der Präsentation kann die KI interne Dokumentation und Code-Repositorys analysieren, um spezifische Fragen zu beantworten und Entwicklern zu helfen, die komplexen Systeme zu verstehen, an denen sie arbeiten. Die Unterstützung für benutzerdefinierte und angepasste Modelle wird auch erwähnt, um branchenspezifischen Code besser zu verstehen.

💡End-to-End-Workflow

Das Video stellt Copilot als eine End-to-End-Lösung für den gesamten Entwicklungsprozess dar. Vom ersten Konzept über die Codeerstellung, das Testen, die Sicherheitsüberprüfung bis hin zur Bereitstellung soll Copilot in jeder Phase unterstützen. Diese umfassende Integration in den gesamten Workflow wird als zentraler Wettbewerbsvorteil positioniert, der Unternehmen einen digitalen Vorsprung verschafft.

💡Collaboration

Die Copilot-Plattform soll die Zusammenarbeit zwischen Entwicklern revolutionieren. Es wird gezeigt, wie Copilot Pull-Request-Beschreibungen generieren, Code-Änderungen vorschlagen und Feedback geben kann. Die Integration in GitHub.com und Code-Editoren soll einen nahtlosen kollaborativen Workflow ermöglichen. Außerdem wird 'Copilot Workspace' vorgestellt, mit dem ganze Teams auf natürliche Weise an Anforderungen und Code arbeiten können.

💡Sicherheit

Sicherheit ist ein weiterer Aspekt, den Copilot laut der Präsentation adressiert. Mit 'Code Scanning Auto-Fix' kann KI Sicherheitslücken in Code nicht nur erkennen, sondern auch automatisch Vorschläge zur Behebung generieren. Darüber hinaus wird ein 'AI-gesteuertes Secret Scanning' angekündigt, das vertrauliche Daten wie Passwörter in Source-Code aufspüren soll.

💡Open Source

Open-Source-Software spielt im Video eine wichtige Rolle. Es wird erwähnt, dass Copilot die am meisten eingesetzte KI-Entwicklerumgebung für Open-Source-Projekte ist. Außerdem profitieren Open-Source-Maintainer von kostenlosen Copilot-Lizenzen. Die Integration in GitHub als führender Open-Source-Plattform wird als Schlüsselfaktor für den Erfolg von Copilot dargestellt.

💡Wettbewerbsvorteil

Das Video positioniert Copilot und die KI-getriebene GitHub-Plattform als wichtigen Wettbewerbsvorteil für Unternehmen. Durch die enormen Produktivitätssteigerungen, effizientere Abläufe und die Fähigkeit, komplexe Legacy-Systeme besser zu verstehen, sollen Unternehmen deutliche Vorteile in der Softwareentwicklung erhalten. Dieser Wettbewerbsvorsprung wird als entscheidend für den Erfolg in einer zunehmend digitalen Wirtschaft dargestellt.

Highlights

GitHub Copilot has achieved remarkable productivity gains, making developers 55% faster in coding and providing the biggest productivity boost for a new developer tool in its first year.

Copilot is being integrated into every step of the developer workflow, from code generation to pull requests, security scanning, and repositories, turning GitHub into an AI-powered developer platform.

Copilot Chat, with natural language capabilities, is coming to mobile devices, editors like Visual Studio Code and JetBrains IDEs, and the command line, making it a universal programming language.

GitHub is introducing AI-powered code scanning and secret scanning features to automatically fix security vulnerabilities and detect secrets without patterns.

Copilot is now customized for organizations, understanding their internal code, documentation, and repositories, providing personalized assistance tailored to their specific needs.

GitHub is partnering with companies like Accenture, Red Hat, and Datadog to extend Copilot's capabilities and integrate it into their automation platforms and workflows.

GitHub Copilot Enterprise, a new product offering, will bring all Copilot features, including customization and integration, into a single offering for organizations at $39 per month, launching in February 2024.

Microsoft's CEO, Satya Nadella, expressed excitement about Copilot, stating that natural language is becoming the new universal programming language and will democratize access to software development.

Nadella envisions Copilot enabling collaboration between developers, product managers, marketers, and salespeople, all communicating in a multi-agent framework using natural language.

GitHub announced Copilot Workspace, a revolutionary new workflow that simplifies turning ideas into code using natural language, automatically proposing solutions, building plans, and implementing changes across repositories.

Copilot Workspace is designed for collaboration, allowing editing of suggested changes, automatic error catching and repair, and streamlined pull request creation and code review.

Copilot Workspace is envisioned as a step towards an age where developers can use AI as a second brain to stream creativity and turn ideas into reality using natural language.

GitHub aims to bring the intersection of human and artificial intelligence to define the future generations of the AI-powered developer platform.

Copilot's integration into every step of the developer workflow, from idea to deployment, and its customization for organizations, is a game-changer in software development.

The introduction of AI-powered security features, such as code scanning auto-fix and secret scanning, enhances the security and compliance aspects of software development.

Transcripts

Announcer: People of Universe,

Please welcome Thomas Dohmke.

Thomas: Good morning.

Thank you for being here, everyone.

It's so great to see all of you.

I'm Thomas and I'm a developer.

And today is the day

I've been waiting for

for the last eight months.

Today, what we will do on the stage.

How we were build.

What we will launch that will redefine

the essence of software

development itself.

This is a moment long in the making.

Now, for recall,

it was just a few weeks

after GitHub

universe last year

when I had its big bang moment catch up.

It exploded onto the scene.

It washed over the airwaves.

It was the most consequential disruption

to technology

since the advent of the Internet browser.

Our global consciousness

has not been the same since.

But for GitHub, our generative A.I.

story did not start there.

It dates back all the way to 2020,

and it's documented in a white paper.

The internally call the Coding

Oracle Paper.

Back in 2020,

a group of all

wildly talented engineers

got their hands on all version of open

this GPT three model and with this model

they sought to answer a single question

was an automated perpetual grammar fact

or fiction.

Could this transformer model

this strange thought for machine actually

help solve

the tasks of an everyday developer?

Our team knuckle down

and put together a bunch of tasks

in all extended exercises

developers often do in job interviews.

I remember hopping on a call

and one by one

we fed these exercises into the model

and observe what happened.

And in 2020,

out of 203,

handcrafted programing exercises

then prompted the models of 93% of them.

Three years ago, it already solved 93%.

This was the genesis.

This was the moment.

This is what won me over.

And I tell you,

it takes a lot to win over

a skeptical German developer.

And our engineers put

that feeling down in writing

that I've heard and I quote, Change

developer tools in fundamental ways.

In particular,

an automated perpetual gamma can be built

that puts the collective knowledge

of the entire community

at the fingertips of every individual.

Big statement, great early statement.

But we took a risk

and we built the world's

first at scale a purple gamma.

Another tool with a large language model.

Before the world was ready.

And today,

with more

than 1 million page

views of the course, 190 countries

get a copy this now

the most widely adopted A.I.

developer tool in history.

And from this broad

based adoption,

we have seen the most stunning evidence

of productivity gains

since we got rid of punch cards

and assembly language.

Already, corporate is making developers

55% faster and coding it 55%.

Productivity gain,

the biggest ever experience

in the first year

of a novel developer tool.

And people truly love using it.

Open source maintainer,

students, teachers,

developers and Fortune 500 companies

from Shopify to MercadoLibre to Mercedes

to VW

will see in just a short period of time.

GitHub.

Corporate has become

the greatest competitive advantage

in any software driven business.

And now over 37,000 organizations

are using copilot to achieve more.

It's been adopted by organizations

in all sizes

and across all sectors and industries.

Today, the full gamut

between two of them, according

Argo paper, has accelerated

beyond even our wildest aspirations.

But air support it could.

Completion was always

just the starting point.

The change agent for the bigger picture,

you know, many professional developers

actually only code like 2 hours a day.

So what use is it if developers

put blazingly fast in the editor

just to drown in mundane tasks

when the initial coding is complete?

This was the conviction

behind our corporate X

Vision announcement in March.

It was the first view of A.I.

sitting beyond the editor

and infusing

the entire developer lifecycle.

And we did not let that vision escape us.

And in the last eight months,

we created something even bigger

in a world where developer

shortage is on the rise.

In a world

where billions of lines of code

form the foundation

of the global economy,

in a world where developers

are still expected

to keep up with COBOL

legacy code dating back to the 1960s

and yet still build for tomorrow,

we simply have to make it easier

for developers to do it all

and to do it all with a copilot,

just as GitHub was founded on Git.

Today we are re founded on copilot.

A AI is now

the electricity

powering the home

for the world's developers.

In just a short time,

the powerful company

that started it all has evolved.

Expand it

and transform GitHub

into the air power developer platform.

From the idea to the issue to building

and coding

to the viewing,

securing, deploying

to get up the comet self.

GitHub is now

powered by copilot every step

and this is real today

and we're going to show it to you

right now.

Allison: Now, back in March,

we shared copilot shot our vision

for conversational assistance

with all of you for the very first time

built right into your favorite editor.

We designed Shot to help every developer

build the big picture

all in natural language.

We've made shot even more powerful since.

But seeing is believing right?

The contribution graph is cool, but today

I thought it'd be even cooler

to build a new app

called my first commit

com to figure out when mine

and every developer on GitHub

first commit happened.

Now we can see who in here

is the real OG of GitHub.

My least favorite part

about starting a new project

is the starting part.

Who likes a blank space after all?

Thankfully, copilot has me covered

with chat.

I'll be able to explain what I need

all in natural language and skip

all the boring projects set up.

I'm going to open the

chat panel in my editor

to give me a bit more space to read,

and then

we're going to use a new slash command

to generate

an entire project in Visual Studio Code.

If you haven't used slash

commands before,

they're a powerful tool

to help you execute your most common

chat commands with just a single word.

Saving you even more keystrokes.

I've got a list of requirements

already in my head,

so I'll feed those into the new command

and let copilot build the scaffolding

I need.

We're going to use next year

with React components

and our design system primer,

and we'll call the app my first commit.

You'll notice

how copilot gives me

the structure for my new project

so I could create it right here.

But I'm going to jump to a workspace

copilot created for me earlier

that I've already started tinkering with.

Let's see what we're working with here

by heading to simple browser

and typing in Thomas's handle.

Okay, we've got basic page navigation

and most of Thomas's info, right?

Honestly, I think you look better

here, Thomas. Just kidding.

So let's

go ahead and replace this hardcoded image

with the actual picture

from his user data.

I'll select the URL, delete

and copilot comes to the rescue.

I'll save that.

And it's

generally a good idea

to keep tabs on the boss.

So I'm going to add

location here as well.

Also,

copilot is giving me exactly what I need.

It never fails to be magical.

And we also need to add this in the UI

and look

because we added location to our data.

Copilot is smart enough to know that.

Now we want to add it to the page tab.

Save.

Head back to the simple browser.

There's the Thomas we know and love.

Okay.

It's time to grab that first commit now.

It's been a little while

since I've used GitHub search API,

so I'm going to ask

for a little bit of help from copilot.

And don't you love

when you can type perfectly

on stage under pressure?

All right.

We're going to ask copilot.

Give it a second to think.

It always likes to get my heart rate up

just a little bit.

And but it always comes through.

It's giving me exactly what I need.

I'm going to review this really fast.

That looks great.

Head back over here to my editor

and we're going to insert

this with just one click

that'll bug me if I don't fix it.

Now. Great.

We've got that started.

Now I need to include

the commit day here.

Looks awesome.

And once again, we have to update our UI.

All right.

Copilot, 99% there.

But we want our first commit,

so we'll save head back.

Okay, We're almost there.

I'm pretty sure that data is wrong,

and it looks a little funky.

Let's see what's happening.

All right.

Oh, I see what I've done here.

I don't have any ordering

in, so

I'm going to go ahead and select this,

and we're going to

use chat

to help us

figure out how to sort our commits here.

I'll head back and I'm going to say

update to include

to include

or sorry to sort rather

by commit or date.

Give it a second to think.

All right.

That's looking good.

But, you know, when I

when I'm on stage,

I kind of get ascending and descending

mixed up

and I need the oldest commits first.

So I'm going to ask copilot

to revise this answer by simply

asking for the oldest or two newest sort

sought by oldest, newest.

This is great because I can ask

copilot exactly what's in my mind

and it can translate it into the code.

I need.

We'll take a look here.

All right. That looks good.

We'll go ahead and replace the line.

Select save.

Oh, we've got something going on here.

All right, you know what?

I'm under time pressure here,

so I'm just going to replace this with

my trusty demo Save.

If anyone was second

guessing if this was live or not.

You've just got your answer.

All right.

This is looking good.

For 2009.

I was more worried

about getting my driver's

license that year

rather than committing code,

but I really don't need it

down to the minute.

So let's go ahead and clean that up.

And rather than using the side panel

like I've been doing,

I can actually get copilot to help me

write in the editor

right on the line of code

that I'm working on

by pressing command or control.

I so for this line

let's ask to get rid of the time

removed time and time zone.

We'll give it a second to think.

And you know I really love this

need a few

because I can inspect the change

before I actually agree to take it.

And it's in a form

that I'm so used to already

will save head back.

There it is.

It's working exactly as we like.

But that's not all.

We've got one thing left.

My favorite part documentation.

So let's head back.

We're going to select the function

we've been working in

and we're going to bring up

copilot using in line tap one last time

and use our doc slash command.

All right, that looks good.

We're going to.

Except

I got to tell you, I'm exhausting.

I must have pressed

tap like ten times and.

Wow, I need a break now.

Copilot chat is coming

to wherever you are,

whether that's Visual Studio Code.

Visual Studio.

Oh, and now, intelligent web storm.

Hi.

Charm and other jet

brained ideas are available in preview

today.

Chats

in your favorite editors,

but now it's also in your pocket.

We're breaking out of the editor

and bringing Copilot Chat

to your native iOS and Android app.

Pretty cool.

With the power of natural language

on your mobile device,

you can get answers

to any programing question

about your repositories files or docs.

That's Copilot wherever you go,

whether you're waiting in line

at a coffee shop

or procrastinating in the morning

when you can't quite get out of bed.

Copilot chat is now in your I.D.

It's coming to GitHub

mobile

and it's getting way more powerful.

We've upgraded Copilot chat

with a power of GPT four

and even more context from your editor

slash commands and smart actions.

So I'm only ever a click away

from solving my next development task.

And finally in line chat to help you

iterate on coupon code with Copilot

without ever having to move your mouse.

Everything I just rattled off,

including the upgrades to Copilot chat,

chat coming to mobile jet brains

and even Copilot in the seal.

I will be in your existing

Copilot subscription.

Yes,

you definitely heard that right.

If you've got a Copilot subscription

today,

all of these features are coming to you.

But when you might ask next month,

Copilot chat will be generally available

in just a few short weeks.

All of this, taken together,

will make natural language

a new universal programing language

for every developer on the planet.

Kedasha: Up until now,

copilot was just about code generation.

That's changing today.

GitHub is the

AI powered developer platform

from pull requests to security

to security scanning

to your repositories and more.

Copilot is now integrated

into every step

of the developer workflow.

Let me show you what I mean.

So I've been working on scaling the

my first command app

that Allison just started.

It's coming along very nicely.

Take a look.

But I noticed that Thomas has been busy

and he's submitted not one,

but two papers.

So let's take a look at the first one.

Okay, So it looks like there

are a lot of file changes here,

but I'm not seeing any test.

Oh, Thomas.

Coding 55%

faster doesn't mean

you get to write bad code 55% faster.

So I'm going to open up this

in a code space

real quick,

because even though Thomas

wants to get this done quickly,

I don't feel comfortable merging this

without at least one unit test.

And when I open up this in a code space,

I don't even have to touch

my local files.

I can edit and make changes

in an isolated

dev environment in the cloud.

All right.

So I have the user car digest

component open

if I highlight the entire component

pop open copilot chat and type

slash test

copilot is going

to automagically generate

an entire test suite for this component.

Here it is telling me

exactly what it's going to do.

Then it gives me the test

and then it tells me how to run it.

Wow. How cool is that?

Let me save this new test in a file.

I'm going to call it Use a car that

test dogs.

Awesome.

Now let me come at my changes real quick,

because what I'm about to show you

next is a game changer.

Now, what I'm about to show you

for the very first time is GitHub copilot

chat integrated

directly into GitHub icon.

That's right.

Copilot has now expanded

out of the editor. Let's take a look.

So if I go back to the PR

and I go to let's say index.

Yes.

And select lines 25 through 45,

click on the copilot icon

that pops up and type.

Please explain the code.

I always like to say please the air

because you just never know.

But take a look at this

copilot

chat is telling me

exactly what this code is doing.

And it even went

as far as breaking down

the code into chunks.

So it's easy

for me to read and understand

this is the power of copilot

chat in GitHub dot com.

Now let's go back to the PR

because I notice that the description

was a bit lacking.

By the way,

did you know

that around 40% of pull requests

don't have a description?

Yeah, let's fix that.

So we've added a new icon here

for copilot actions.

If I click on the summary command

that pops up, copilot

is going to

help us generate

a detailed PR description.

Copilot is no longer just in your editor.

It is now integrated into PR

is to help you with the mundane stuff

like writing PR descriptions.

Think about how long it takes you

to come up with a meaningful summary

of all your work

as it's given a minute.

Wolff Would you look at that?

Copilot I just generated

an entire description,

very detailed

of all the changes

that we've made so far.

It even included

little clicky links,

but I never would have

bothered to add myself.

Awesome.

Now let's take a look at that second PR.

Okay, so it looks like there's

a security issue

around an unsanitized user input.

We know that.

But GitHub Advanced Security Code

scanning has always been able

to find vulnerabilities in your code.

But now

you don't just get a notification.

There's a complete fix suggested

right here with the power of AI.

This is called code scanning ought to fix

it suggested changes

you need to make

to fix security vulnerabilities.

If I click here,

click commit changes.

And just like that, where secure

this.

This is what we mean

when we say that GitHub is the

AI powered developer platform.

Now I have some great news for you.

This A.I.

powered code

scanning auto Fix feature

is available in preview today,

and we're going even further

with our security offerings.

Are AI powered security offerings

GitHub Advanced

Security has been able to scan

for known secret patterns for a while.

We have more great news for you.

We're introducing a new

AI powered secret scanning tool

available in preview today.

This will help you find secrets

that don't have patterns like passwords

stored in source

control, the cause

of some of the most expensive

exploits over recent years.

Now, as we all know,

the two hardest problems

in computer

science

are naming things

and regular expressions.

So today,

we're making it easier for you

to write your own custom patterns

with our new

AI powered regular expression assistants.

This will all be included

in your company's GitHub

Advanced Security subscription.

We are truly

bringing AI

to every part of the GitHub platform,

and that means every part

GitHub dot

com is the home page

for software development

where every project can begin,

where developers collaborate

and where the open source

community builds and maintains

the world's code.

Now we're integrating copilot directly

into GitHub dot com, so

this means you can dig to code,

generate pull requests

and make the rest of your life

so much easier.

All with copilot.

Colin: As you've just seen,

code generation is an incredible tool.

But one of the most challenging tasks

when building software

is understanding the complex systems

we all work on.

Developers today

work on large,

multi-service, multi-platform, multi

language and often legacy code bases.

To succeed,

we have to build off

a complex foundation,

understanding all that code

that came before us

with GitHub is powerful code

Intelligence copilot

can help us

get the critical information we need

so we can build more faster.

Let me show you how it works.

Now.

Hold on.

I'm logged in here

to my personal accounts.

Let me jump to my work account.

So I can show you

how copilot works for me

as an employee here at GitHub.

I'll use this

brand new feature on GitHub dot

com where I can switch users

with a single click.

That's better.

All right, let's ask copilot a question

about shortening URLs.

How would I create a short link

for my first commit

large

language models

like the ones the power copilot

have strong generalist

knowledge of programing

languages, open source

libraries, and popular frameworks.

You can see here it's suggested

we use BIT.LY.

Now we've heard from organizations

and developers

that you want copilot

to know more about you, your code,

your documentation, your pull requests,

and we've built just that.

Now, Copilot is an expert on

your company's code base too.

Today, what I'm about to

show you

for the very first

time is copilot

customized to your organization

Here, Let's point copilot

at our internal documentation site

at GitHub,

we call our internal Dockside the Hub,

and we have our own internal URL

shortened to ghi0.

I'll ask the same question again.

How would I create a short link

for my first command?

And now copilot is searching

through our internal documentation

and using it to answer a question.

You can see here

it not only knows

the correct chat ops command,

so you able to create a short link

using our internal service.

It's inferring from my question

what data to use in the command.

And it's even giving me an example

of how I can use it.

Let me show you another example,

this time using a project that I work on.

Last year at Universe,

we announced GitHub

all new code search

engine codenamed Blackbird,

and when we built it,

we invented a new data structure

to make search super fast.

Even at GitHub, huge scale.

We call that data structure

the geometric filter.

I'll ask copilot,

what is the geometric filter?

Now,

we haven't

published any information

about it publicly,

but now,

because I've given copilot access

to this repo,

it can answer my questions about my code.

Take a look at the answer.

It's giving us.

Copilot is referencing specific files

and giving us a breakdown

of exactly how this data structure works.

This answer is about as good as you'd get

from any member of the Blackbird team.

Think about what that means with copilot.

You now have an expert available

any time to answer questions

about your code base

right from your browser or ID

And we're not done.

We're taking the next step.

We're now trialing

fine tuning the language model itself

for several large customers,

including AMD.

By taking a model like GPP

for and fine

tuning it on your company's code base,

Copilot quickly learns to adapt

your company's

unique coding style and conventions.

We've seen that fine tuning.

The model for customers

with unique code bases

can bring a massive performance

improvement to their engineering teams

when combined with GitHub

Powerful Code Intelligence

and advanced fine tuning

Copilot will feel right at home

in your organization

and help your company

build even better together.

But what about information

that lives outside of GitHub?

As developers,

we all have a whole ecosystem of tools

like deployment,

infrastructure

monitoring, feature flags and more.

With copilot,

we can now bring information

from all of these surfaces

together in one place.

Imagine right from GitHub

dot com or your idea.

Be able

to check the performance

of a database

query and production

by asking data stacks how it's performing

Using our new APIs for copilot,

developers can extend copilot

for nearly

any use case right within chat.

You can even check the status

of a feature flag using launch darkly

or ask Postman

if you're using an API correctly.

We're kicking off the early phases

of this program

with our debut partners

as part of our new GitHub

Copilot partner program,

including Red

Hat, CACI, Corp, Datadog and more.

We can't wait to see what you'll build.

It's been a year since Chad

Djibouti sparked the general revolution

and kicked off a new era of innovation

in both business

and software engineering. Make one.

Since that moment, Accenture and GitHub

have been working together

to make the promise of assisted

software development real.

At Accenture,

we consider ourselves

Customer zero for GitHub,

we experiment

scale and share our learnings

from our own usage

and client engagements

to help GitHub innovate faster.

We were the first global company

of our size to pilot GitHub copilot,

and we quickly learned a few key things.

First, the promise of efficiency gains

are real

across multiple

phases of the software

delivery lifecycle.

The real value comes from speed

code, quality and security

and developer experience.

And where we see

the biggest opportunity is integrating

copilot into an organization's

end to end automation framework.

Now, Accenture and GitHub are helping

clients move beyond experimentation

to make assisted

technology delivery pervasive.

We are doing this by one core developing

specific solutions using copilot too.

Integrating copilot into Accenture's

own automation platforms.

And three,

by expanding

copilot to 50,000 Accenture developers,

Accenture is proud to be

at the forefront of AI driven innovation

with GitHub

for the

incredible right

50,000 developers that Accenture will fly

at the speed of their own minds

with copilot.

The original copilot

was just code

completions,

wanting inference on every keystroke

with copilot chat

being generally available in December

in Visual Studio and Visual Studio Code

and coming with GPO for inline chat

slash commands

and powerful smart actions.

Copilot expanded from, quote suggestions

to a tool

perpetual camp

powered by one that answers questions,

explains code,

finds bugs and flight tests.

And it's also coming to

your mobile devices

is coming to the comment line.

It's coming to a jet brains ideas

and I'm happy to announce

that all of this

every feature

I just said

is included in your copilot subscription.

And it's the exact same price as before.

Not

$19 per user per month

pocket, is it for organizations?

$10 for individuals.

And of course it's still free

for teachers,

students and maintainers

of popular open source projects.

But on top of all of this,

we've

consistently heard

from many of our enterprise customers

that they would love to have

the internal knowledge

of their organization and copilot.

Today

we are bringing this

customization together

with every single copilot feature

into a new product that we call

GitHub Copilot.

And I place

some copilot

in your pull requests to copilot

in your documentation,

copilot, chat, integrated

and detached to calm all customize

to all of you and your organization

in one single offering.

This personalized copilot

available at every stage

of the software

development lifecycle

By placing the collective knowledge

of your organization's code base

at your developer's fingertips.

They will not only write code 55% faster,

they will keep the flow state

and serve from idea

to code

to deployment by maintaining security,

compliance and quality.

And they will be happy doing it.

And I'm thrilled to share that.

We will start

the preview of copilot in applies today

and it will be discussed

and it will be generally available

in February 2024 for $39.

Copilot Enterprise will give rise

to a new wave of digital transformation

as we know it

and create a competitive advantage

for every organization in our world

that is dependent on software.

But don't just take it for me.

Today we have got a special guest

who knows

quite a lot about digitally transform

being an organization.

Please join me in welcoming

for the very first time ever

get up universe, the CEO of Microsoft,

Satya Nadella.

Oh, hi.

Great to see you, Sacha.

Satya: Thank you so much.

Satya,

I introduced you as the CEO of Microsoft,

but you're really the biggest

super fan of GitHub Copilot.

I am.

And in fact,

I was just

listening to all the announcements

and reading about it.

And I must say in the last,

what, a year, year

and a half, maybe years

since I've been using

Get Up copilot, my weekends have changed.

You know, I can code again.

I mean, the joy of coding is back.

I'd say code space's copilot.

And now I'm really looking forward

to copilot on GitHub dot

com because man, it'll be so fun

to just go to report after report

and keep reading and explain this.

Explain this, explain it all.

Remember to say please. Yeah.

And it

it's been five years, you know

then since Microsoft acquired GitHub

and our industry has changed so much

since then.

How do you all work together?

You know, let us to this moment.

That's cool.

Yeah. It's it's unbelievable.

I'd say five years since obviously

we got to sort of steward GitHub.

You know,

when I think about Microsoft,

Thomas, to me, I'm

always grounding myself, right?

We were a developer company first.

After all, the company got started

creating dev tools.

I always remind myself of that.

And that's our core heritage.

We are a platform company, right?

So we build our platform

so the developers can then build

great IP on top of it.

And we are a partner company,

which is help those developers

be successful in the marketplace

and that's at the core who we are.

And quite frankly,

GitHub has taken us

to another level, right?

Our ability to one, we did a lot of work

before we even decided

that we had the right to steward GitHub.

We made sure that we were great members

of the open source community

by really being part of the community,

contributing to the community,

and that's what led us to that.

So it's been

a fantastic journey

and here we are

at this moment with copilot

and AI and ready for what is,

I think, the next phase

of our developer journey.

Yeah, awesome.

Rene You mentioned a lot of companies

you meet with a lot of developers

around the world.

You get to meet

with a lot of CEOs that hire developers

to drive that transformation.

What do we hear from them

and how can copilot help them?

Yeah, it's fantastic.

I mean, even just listening to the video

you just played

and talked about it,

I mean, think about this.

This is an app that scale organization

like Accenture

making the decision

to go deploy

something like set up

copilot at Enterprise wide.

Oh, that's a big thing.

Usually if you sort of

look at the dev tools business

and dev store

diffusion, it takes decades

before those enterprise

wide things happen.

And this is just happening, you know, in

less than a year perhaps.

A couple of things.

One is at the end of the day, to me,

I think all of us

want to make sure

that the people we work with

have the best tools too,

so that they feel empowered.

They feel that they can stay in flow,

they can do their very best work.

And then,

of course,

the organization benefits

from that in terms of productivity gains.

So unquestionable stuff

is some of the productivity stats.

And the productivity stats, by

the way,

is not just stats, it's about ultimately

some of the drudgery,

bringing the joy back, helping

you stay in flow.

Who doesn't appreciate that, Right?

Every developer appreciates that

and every dev manager appreciates that.

And so to me, that's what we hear.

And really the other thing

that I would say

is I've always felt

like when you introduce GitHub

into an organization,

workflow changes, right?

We always said

like when the salesperson

is, you know, doing a pull request,

it's a different org.

It's moving at the speed of code.

So now think about it, right,

with copilot

and that speed of code

fundamentally changing what it means to

what is a digital economy, right?

If you're in the auto industry,

you're in the financial industry,

you're in the pharma industry

every month.

Pretty much

everybody is a digital company

and a software company.

And so I'm very excited culturally.

How do the organizations change?

How does work and workflow change

across all functions?

It's just not the professional

software developer,

but everyone around them

is collaborating

and really making it

a much more real time

digital organization.

So that's the most exciting thing

that I think

everyone in this room

gets to participate in,

which is

change their organization,

help their organization

achieve next level

of transformation and productivity.

Yeah, incredibly exciting.

And I,

I saw your

I think it was a post on social media

saying that

natural language

is becoming the new universal

programing language.

How do you think natural language

will democratize access

to software development?

Yeah, I mean, look, I think, you know,

you look at all the demos

this morning

and you feel like, wow, I can do that.

I mean, all I need is copilot Chad

and here it is.

I just sort of click, click, click.

And I'm real tap, tap, tap, and I'm done.

I mean, this is like it is in some sense

the most empowering thing

is to be able to give, right?

I mean,

we have, what, 100

plus million

people already on GitHub,

but my dream is like,

how do we empower a billion people

and then the other billions

around these billion people

who are all collaborating

with the power of natural language?

Because if I look

at the arc of computing,

our history of the last

70 years has been

can humans and computers

interact in the most natural way?

What's more powerful

than natural language,

which by the way, starts

with language goes multimodal.

And so there's a lot

to be said about sort of that thing

that you just mentioned,

which is natural language

as the programing language

to me,

and also the other comments

that the people in the morning

sort of said, which I thought struck

a chord with me,

which is to say, wow,

copilot is the new ID.

I mean, think about the approachability,

right?

In Europe,

you have a middle school girl

first learning, coding,

just the approach ability

to be able to say, wow,

you can express some complex

thought and start seeing code

and you're going to get into coding.

That is game changing to me, right?

Because natural language

is about accessibility.

It's about making the barrier

to entry lower

and it's going to be stunning to me.

The other thing that I would also say

is what you're doing,

like some of the stuff

that you're going to show

and demonstrate around,

how about applying it

at the repo scale, Right.

I think you call it workspace.

I think I am so excited about it. Right.

Which is,

hey, it's not just about like

I go from an issue

to code to task to deploy.

If we can really make that entire

flow really magical with natural language

and the product managers,

the marketing folks,

sales folks and developers

are all communicating

in this multi agent framework

that I think

is going to be really next level,

maybe next year we're back here.

We can start talking about

some of that stuff.

Incredible.

Thank you so much for joining us.

Thank you.

Thank you so much.

Okay. Thank you so much.

Wow, What

incredible insights

and what an incredible keynote

it's been today.

We have shown you

how developers can go

above and beyond

for the power of natural language

and copilot.

And we truly think this

AI power

developer platform will change the world.

Thank you

for being part of all of this,

and thank you to everybody at GitHub

that worked

so hard in the last few weeks

to get us to this moment.

And please give it up

for presenters, Alison, Keisha and Colin.

Oh,

but,

but you're right.

Don't don't switch off your online.

I think I forgot something

and I

if you know me,

you know that even in my teenage days,

you know coding back in the 1990s

I've always admired Steve Jobs

and 13 years ago

on this stage here in Yerba Buena, Steve

launched the iPad.

And so I'm so excited to say this.

There is one more thing.

Steve talked a

lot about the concept of machines

accelerating human progress.

He described the home computer

as the bicycle of the mind,

a new partnership

between human and machine

that could take us far

beyond our own inherent abilities.

And today I can't help

but think that we have arrived

at the next phase of this partnership.

Software Developers

Embrace of GitHub

Copilot has shown the world

how humans can symbiotically partner

with intelligent machines

to make big ideas even easier to deliver.

Today we are thrilled to announce

an early glimpse

of a revolutionary new future,

and they're calling it copilot workspace.

Every day, millions developers

start from a very familiar place

GitHub issues.

So we created an air native workflow

that dramatically simplifies

the way you use natural language

to turn these great ideas into code.

We call it the copilot workspace.

Starting with any GitHub issue,

Copilot workspace

automatically proposes

a solution based on its deep

understanding of the code base.

It's your replies, link tasks everything

copilot workspace

then builds a step by step plan

to implement the changes

so that you know

exactly what needs to be done.

And if something isn't quite right,

the spec and plan are fully editable,

so you can easily steer

copilot in the right direction.

Once you're happy with the plan,

simply click, implement

and let copilot

chase down the necessary changes

across your entire repository and beyond.

Simply synthesizing code

copilot workspace builds

and test the changes

and validates that they're successful.

You'll even

run your code,

sit and verify the fix visually.

This looks great.

This workspace is designed

for collaboration.

You can edit any of the suggested changes

and if you accidentally introduce

an error along the way,

copilot will automatically catch it,

repair it and rerun the code.

What's the issues fixed?

It's easy

to create a poor request

with generated summary of your work.

This lets your team review,

merge and deploy faster than ever.

We're building copilot workspace

so you can turn your creativity

into reality every single day.

Copilot Workspace

is just one of the Horizon visions.

Our team at GitHub next is developing

when Workspace is released in 2024,

we'll be consequentially closer to an age

where developers can use

air as a second brain

to stream creativity

in the creation and minutes

of its natural language.

And I think it's just the beginning.

This intersection

of human artificial intelligence,

the continue to define the future

generations of GitHub,

the AI powered developer platform.

Thank you so much for joining us today

and have a great GitHub universe. Oh.