First AI Software Engineer Devin By Cognition AI :(- Lag Gaye Bhai

Krish Naik
13 Mar 202406:32

Summary

TLDRIn this video, Krishak introduces Devon, the first AI software engineer, showcasing its capabilities through a demo. Devon demonstrates the ability to plan, execute, and debug code, using tools akin to those used by human engineers. The AI tackles a performance benchmarking task, navigates API documentation, and successfully builds and deploys a website. The video highlights the potential of AI in software engineering, suggesting a future where AI tools like Devon could significantly impact the field, though questions remain about their ability to handle complex tasks and replace human engineers.

Takeaways

  • 👋 Introduction to Devon, the first AI software engineer developed by Cognition AI.
  • 🎥 A demo showcasing Devon's capabilities in performing software engineering tasks is available on social media platforms like Twitter.
  • 🛠️ Devon can create a step-by-step plan, build projects, and use tools similar to a human software engineer.
  • 💻 Devon has its own command line, code editor, and browser for tasks such as API documentation review.
  • 🐞 The AI is capable of debugging by adding print statements and fixing errors based on log outputs.
  • 🌐 Devon can build and deploy a fully styled website, demonstrating its integration capabilities.
  • 🚀 Advancements in reasoning and long-term planning have made such AI capabilities possible.
  • 🤖 Devon's performance in software engineering tasks raises questions about the future role of human engineers.
  • 🔧 While Devon can handle many tasks, the difficulty of more complex problems remains uncertain.
  • 💡 The potential for AI to replace human software engineers is discussed, but the presenter believes human skills are still superior.
  • 📢 The video encourages viewers to try Devon and share their opinions on the future of AI in software engineering.

Q & A

  • What is the main topic of the YouTube video?

    -The main topic of the video is the introduction and demonstration of Devon, the first AI software engineer developed by Cognition AI.

  • Who provided the demo of Devon?

    -The demo of Devon was provided by the CEO of Cognition AI, himself.

  • What kind of tasks is Devon capable of performing?

    -Devon is capable of performing tasks required by a software engineer, including documentation, development, API testing, and deployment.

  • What tools does Devon use to perform its tasks?

    -Devon uses the same tools a human software engineer would use, including its own command line, code editor, and browser.

  • How does Devon handle unexpected errors?

    -Devon handles unexpected errors by adding debugging print statements, rerunning the code, and using the error logs to figure out how to fix the bug.

  • What is the significance of Devon's ability to act as a software engineer?

    -The significance is that it demonstrates advancements in AI reasoning and long-term planning, and it shows that AI can potentially assist or even replace human software engineers in certain tasks.

  • What is the future outlook according to the speaker regarding AI software engineers?

    -The speaker believes that while AI software engineers like Devon can perform tasks quickly, they may not replace human software engineers entirely, especially for more complex or innovative tasks.

  • How can one try out Devon for real-world tasks?

    -To try out Devon for real-world tasks, one can send a request through the Cognition AI website, and they will forward it to Devon.

  • What is the speaker's opinion on AI replacing human jobs in software engineering?

    -The speaker thinks that AI is good at performing tasks faster but believes that it should not replace human beings, as humans can provide more in-depth thinking, documentation, and other valuable contributions.

  • What kind of tasks was Devon given in the demo?

    -In the demo, Devon was given the task of comparing the performance and speed of the Llama 2 model from various API providers.

  • What is the speaker's final verdict on the comparison between AI and human software engineers?

    -The speaker maintains a preference for human software engineers, believing that while AI can assist and speed up processes, humans offer more comprehensive skills and capabilities.

Outlines

00:00

🤖 Introduction to AI Software Engineer Devon

This paragraph introduces the audience to Devon, the first AI software engineer, and provides an overview of its capabilities. It discusses a demo by the CEO of Cognition AI, where Devon is shown to perform tasks typically required by a software engineer, such as development and documentation. The demo is available on social media platforms like Twitter. The AI's ability to use tools like a command line, code editor, and browser is highlighted, along with its problem-solving skills when encountering errors. The paragraph ends with an invitation for viewers to try Devon on their tasks.

05:03

🚀 Future of Software Engineering with AI

The second paragraph delves into the implications of AI in software engineering. It acknowledges the potential of AI to improve efficiency and speed in tasks traditionally done by humans. However, it also expresses skepticism about AI replacing human software engineers entirely, emphasizing the unique value of human thought and documentation skills. The speaker maintains a preference for human involvement and sees AI as a tool rather than a replacement. The paragraph concludes with a call for viewers to share their opinions and a reminder that while AI can speed up tasks, it should not replace human workers.

Mindmap

Keywords

💡AI software engineer

An AI software engineer refers to an artificial intelligence system, like Devon, designed to perform tasks typically associated with software engineering. In the context of the video, Devon is capable of benchmarking API performance, debugging code, and deploying websites, showcasing the integration of AI in complex problem-solving and development processes.

💡Cognition AI

Cognition AI is the company responsible for developing Devon, the AI software engineer featured in the video. The company is at the forefront of AI technology, creating advanced AI systems that can undertake tasks traditionally done by human software engineers, indicating a significant step in the evolution of AI capabilities.

💡Benchmarking

Benchmarking is the process of evaluating the performance of a system or component by comparing it to a standard or other similar systems. In the video, Devon is tasked with benchmarking the performance of different APIs, which involves assessing their speed and efficiency to determine which is the most effective.

💡API

API stands for Application Programming Interface, which is a set of protocols and tools used for building software applications. APIs allow different software systems to communicate with each other. In the video, Devon interacts with multiple APIs to gather information and perform tasks, demonstrating the integration of AI with existing software infrastructure.

💡Debugging

Debugging is the process of identifying and removing errors or bugs in code. It is a critical part of software development. In the video, Devon encounters an unexpected error and decides to add a debugging print statement, showcasing its ability to troubleshoot and fix issues in the code, much like a human software engineer.

💡Deployment

Deployment refers to the process of releasing a software application or system to its intended users. It involves configuring and installing the software on a live system. In the video, Devon demonstrates its capability to deploy a website with full styling, indicating the AI's ability to handle the final stages of software development.

💡Integrated environment

An integrated environment refers to a unified platform or set of tools that allows for the seamless execution of various tasks. In the context of the video, Devon has its own command line, code editor, and browser, creating an integrated environment that mimics the tools a human software engineer would use, enabling it to perform a wide range of development tasks.

💡Long-term planning

Long-term planning involves the ability to strategize and make decisions that extend over an extended period. In the context of AI, it refers to the capacity of an AI system to engage in complex tasks that require foresight and the ability to reason over extended timeframes. Devon's demonstration of benchmarking, debugging, and deploying a website illustrates its advanced long-term planning capabilities.

💡Real-world tasks

Real-world tasks refer to problems or activities that occur in everyday life and require practical solutions. In the video, the invitation to try Devon on real-world tasks suggests that the AI software engineer is capable of applying its skills to genuine scenarios outside of controlled demonstrations, indicating a significant leap in AI's applicability and utility.

💡Human versus AI

The comparison between human and AI capabilities is a central theme in the video. It explores the potential of AI to replace human roles in software engineering, while also acknowledging the unique strengths and irreplaceable qualities of human intelligence, such as creativity, critical thinking, and the ability to handle complex, high-level tasks.

💡Future of software engineering

The future of software engineering, as discussed in the video, involves the increasing integration of AI into the field. It raises questions about the potential impact of AI software engineers on the industry, including the possibility of AI taking over certain roles and the need for humans to adapt to these technological advancements.

Highlights

Krishak introduces the concept of an AI software engineer named Devon.

Devon was showcased in a demo by the CEO of Cognition AI.

Devon is capable of performing tasks required by a software engineer, from documentation to development.

The demo of Devon is available on Twitter and other social media platforms.

Devon makes a step-by-step plan to tackle problems and uses tools like a human software engineer.

Devon has its own command line, code editor, and browser.

Devon can pull up API documentation to learn how to integrate with different APIs.

Devon is capable of debugging code by adding print statements and analyzing error logs.

Devon can build and deploy a fully styled website as a visualization.

The advancements in reasoning and long-term planning make such AI capabilities possible.

Devon's performance in tasks might be faster compared to a normal software engineer.

Despite AI's capabilities, human software engineers still have unique value in areas like documentation and critical thinking.

The future of software engineering might involve AI tools like Devon, but the impact on jobs is uncertain.

Krishak expresses a preference for human ingenuity over AI in software engineering tasks.

The video encourages viewers to request access to Devon for real-world tasks.

The potential of AI software engineers to replace human engineers is a topic of debate.

Krishak concludes by stating that while AI can speed up tasks, it should not replace human beings.

Transcripts

play00:00

hello all my name is krishak and welcome

play00:02

to my YouTube channel so guys I hope

play00:04

everybody has heard about the first AI

play00:07

software engineer named as Devon the CEO

play00:10

of cognition AI himself provided a

play00:12

specific demo and right now it is there

play00:14

available in Twitter and some other

play00:16

social media platform but but just by

play00:18

seeing the demo definitely the AI is

play00:20

able to do all the task that is

play00:22

specifically required by a software

play00:24

engineering software engineer guys right

play00:27

whenever we develop a product and many

play00:28

more things from document M ation to

play00:30

development so first of all let's go

play00:32

ahead and probably see the entire demo

play00:35

of the specific video uh that how Devon

play00:38

is able to act as a software engineer

play00:40

and perform all the task out there and

play00:42

then we will try to see that how the

play00:44

future of software engineering looks

play00:46

like after seeing this specific video so

play00:48

let's go ahead and see the

play00:51

video hey I'm Scott from cognition Ai

play00:54

and today I'm really excited to

play00:55

introduce you to Devon the first AI

play00:57

software engineer let me show you an

play00:59

example exle of Deon in

play01:02

action I'm going to ask Devon to

play01:04

Benchmark the performance of llama and a

play01:05

couple different API

play01:07

providers from now on Devon is in the

play01:09

driver's

play01:10

seat first Devon makes a step-by-step

play01:12

plan of how to tackle the

play01:15

problem after that it builds a whole

play01:17

project using all the same tools that a

play01:19

human software engineer would use Devon

play01:22

has its own command

play01:24

line its own code

play01:28

editor and even its own

play01:31

browser in this case de Devon decides to

play01:33

use the browser to pull up API

play01:34

documentation so that it can read up and

play01:36

learn how to plug into each of these

play01:40

apis here Devon runs into an unexpected

play01:48

error Devon actually decides to add a

play01:50

debugging print

play01:52

statement reruns the code with the

play01:54

debugging print statement and then uses

play01:56

the error in the logs to figure out how

play01:58

to fix the bug

play02:04

finally Devon decides to build and

play02:05

deploy a website with full styling as

play02:07

the

play02:09

visualization you can see the website

play02:13

here all of this is possible today

play02:15

because of the advancements that we've

play02:16

made in both reasoning and long-term

play02:17

planning it's a really hard problem and

play02:20

we've only just started but we're super

play02:22

excited about the progress that we've

play02:23

made so

play02:24

far in the meantime if you'd like to try

play02:26

out Devon on your own real world tasks

play02:29

send us a request below and we'd be

play02:30

happy to forward it to

play02:32

Devon so guys great I hope everybody has

play02:35

seen this specific demo video of Devon

play02:39

and from what I see yes uh with respect

play02:42

to all the task right the the kind of

play02:44

task that is probably given to to Devon

play02:47

was to compare llama 2 model from

play02:50

various apis right like and probably

play02:52

check the performance and speed now over

play02:55

there what it has done is that it is

play02:57

being able to browse it is being able to

play02:59

see the errors and probably fix those

play03:01

kind of errors with respect to the ID

play03:04

that itself it also has an ID so it has

play03:07

actually provided a complete integrated

play03:09

environment whatever things are

play03:10

specifically required for a software

play03:12

engineering from API testing to

play03:14

deployment everything was available over

play03:16

there and by that specific interaction

play03:19

it was able to do a fabulous task and

play03:22

when I say with respect to time I hope

play03:24

the time was also very much faster when

play03:26

compared to a normal software

play03:28

engineering now uh this kind of task

play03:31

obviously uh if I probably see with

play03:34

respect to efforts there will be some

play03:36

efforts that will be required by a human

play03:38

being but with respect to difficulty

play03:40

what I feel is that the difficulty is

play03:42

still less you know so in the future I

play03:45

don't know like if we really have a very

play03:47

difficult problem statement to probably

play03:49

work in in the software engineering how

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we may be working or how this specific

play03:53

tool will be working uh after this tool

play03:56

probably comes out we will be able to

play03:57

check it out you know so obviously if

play03:59

you really want to check out this

play04:01

particular tool I said that you can also

play04:03

go ahead in their website and probably

play04:05

request for those particular access and

play04:07

then you can also try it from your side

play04:09

now again the future of AI AGI and right

play04:12

now you're seeing a software engineer

play04:14

right a AI software engineer which may

play04:16

probably replace many other people you

play04:19

know because with respect to software

play04:21

engineering also right there are many

play04:22

people who is involved in developing a

play04:25

bigger products right there will be a

play04:27

team of 20 30 people based on on the

play04:29

type of product that you're specifically

play04:31

working in and there are a lot of task

play04:34

and just by seeing this entire

play04:35

environment which is integrated all

play04:37

together with each and everyone like you

play04:39

have command prompt access you have the

play04:41

deployment access you probably have all

play04:43

the cloud access you have the browser

play04:45

access and automatically the AI is able

play04:47

to do it um right now this looks you

play04:51

know yes they are able to do the

play04:53

specific task but again when a very

play04:55

hardcore task is probably given I don't

play04:57

know how they going to perform uh but

play04:59

yes uh this looks little bit dangerous

play05:02

what I see but I still feel that uh we

play05:06

human being can do much more better yes

play05:08

we may take some time to to probably

play05:11

develop a good product you know for

play05:13

thinking purpose for documentation

play05:15

purpose and many more things uh and I

play05:17

don't think so still AI probably a AI

play05:21

software engineer can replace a normal

play05:23

software engineer unless and until you

play05:26

know that kind of task is quickly being

play05:28

done by the itself but still a kind of I

play05:32

don't know uh a lot of statements will

play05:34

probably come over here and many people

play05:36

will think that AI job may go there are

play05:39

chances um but this looks really little

play05:43

bit of dangerous kind of stuff you know

play05:45

where you are able to see all these

play05:47

things in front of your eyes uh but

play05:49

again don't know what will happen in the

play05:51

future so let me know what are your

play05:53

point of view with respect to this but I

play05:55

still feel I have that that confidence

play05:59

to it towards the human side when

play06:00

compared to AI but yes uh uh when this

play06:03

tool will probably roll out in the

play06:05

market definitely we'll be able to

play06:07

compare it a lot so I hope you like this

play06:09

particular video um this was it for my

play06:11

side and yes uh as I said uh always my

play06:15

stand will be towards more towards the

play06:17

human side when compared to the AI uh

play06:19

yes AI is good enough to probably do

play06:22

your task much more faster but I feel AI

play06:24

should not replace human being so yes

play06:26

this was it for my side I hope you like

play06:28

this particular video I'll see you in

play06:29

the next video have a great day thank

play06:30

you and all take care bye-bye

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AI EngineeringDevon AISoftware DevelopmentAPI BenchmarkingDebugging TechniquesWebsite DeploymentFuture TechInnovationCognition AIAutomation