Is it over for Software Engineers? My honest thoughts on the job market and tech industry in 2024🧑‍💻

Summary

The video discusses the state of the software engineering industry in 2024, focusing on how it evolved from the zero-interest-rate era, where startups flourished, to a period of economic adjustment marked by layoffs and hiring freezes. Despite concerns over AI replacing software engineers, the video argues that AI is actually empowering engineers to be more productive, leading to a surge in new software development opportunities. It highlights the ongoing demand for skilled engineers to build innovative AI-powered applications and emphasizes the importance of adapting to new technologies for career growth.

Takeaways

• 😲 AI is not replacing software engineering; instead, it is augmenting the capabilities of software engineers, making them more productive.
• 💹 The software engineering job market experienced significant changes due to the economic shift from zero-interest-rate policies to higher interest rates, leading to a decrease in available funding and job opportunities.
• 📈 Despite the economic downturn, AI has emerged as a key driver for growth and innovation in the tech industry, promising increased productivity and GDP.
• 💼 Companies like Meta, Google, and Apple are investing heavily in AI, indicating a strong future demand for software engineers who can build and implement AI solutions.
• 🚀 Generative AI has opened up new possibilities for software development, creating opportunities for software engineers to build innovative applications that were not feasible before.
• 🌐 The rise of AI has led to the creation of new job roles and companies focused on AI technology, further expanding the field of software engineering.
• 🛠️ Software engineering encompasses far more than just coding; it includes problem-solving, system design, and architecture, which AI tools are enhancing rather than replacing.
• 💡 AI tools are assisting software engineers by automating certain tasks, allowing them to focus on more complex and impactful aspects of software development.
• 🌟 The future of software engineering is bright, with a growing number of opportunities for those who can adapt to the AI-driven landscape and leverage these tools effectively.
• 🌱 For aspiring software engineers, learning to use AI tools and staying adaptable to technological advancements is crucial for success in the evolving tech industry.

Q & A

What was the impact of the zero interest rate policy on the software engineering industry?

The zero interest rate policy, also known as the 'zerp days,' made it easy for companies to raise money, leading to an increase in hiring software engineers. This period was characterized by a boom in job opportunities and high salaries for engineers due to the abundance of funding and the need to demonstrate good use of investment by expanding engineering teams.

How did the increase in interest rates by the Federal Reserve affect tech companies?

The increase in interest rates made it more difficult for companies to raise funds, leading to a reduction in liquidity in the market. This resulted in a downturn where companies had to cut costs, including significant layoffs, affecting the entire industry and not just software engineers.

What role did AI play in the job market changes of 2022?

AI was not directly responsible for the job market changes in 2022, which were primarily due to economic factors like interest rate hikes. However, AI was seen as a potential savior for tech companies, promising increased productivity and economic growth, which could help companies recover and create new opportunities.

How did generative AI change the landscape for software engineers?

Generative AI opened up new possibilities for software development, creating a demand for engineers who could build and implement these new AI-powered applications. This led to the rise of new industries and job opportunities, as engineers were needed to create and maintain the software that leveraged these advanced AI models.

What is the current state of hiring in the software engineering field according to the video?

Despite previous layoffs and economic challenges, the video suggests that companies like Meta and Google are hiring again, indicating a recovery in the job market. The interest rate environment is improving, and there is a renewed focus on building new software solutions, especially those powered by AI.

How does the video script define the role of a software engineer in the context of AI?

The video script defines a software engineer as a builder of software solutions, emphasizing that while AI can assist in coding and other tasks, the fundamental role of a software engineer involves problem-solving, system design, and architecture. AI tools are seen as aids that make engineers more productive, not replacements.

What are some examples of new companies and technologies mentioned in the script that are contributing to the AI industry?

The script mentions companies like Anthropic with its AI model Claud, Perplexity with its AI search engine, 11 Labs with its voice engine technology, Mid Journey with its photo generation app, Stability AI with its open-source image generation model, and Hugging Face as a central repository for AI models.

How does the video script suggest software engineers can adapt to the AI-driven world?

The video script suggests that software engineers should learn and utilize AI tools to their advantage, as these tools can assist in various aspects of software development, making engineers more productive and efficient. It also hints at a future video that will delve into how to be a software engineer in an AI-centric world.

What is the significance of the layoffs mentioned in the video script, and what did they indicate about the industry?

The layoffs mentioned in the video script signify a period of economic adjustment in the tech industry due to changes in market conditions. They indicated that companies had to downsize to adapt to a more challenging economic environment, but they also highlighted the resilience of the industry, as companies later resumed hiring.

How does the video script view the future of software engineering jobs in relation to AI?

The video script is optimistic about the future of software engineering jobs, arguing that AI will not replace software engineers but will instead empower them to do more by offloading some of their workload. It suggests that the demand for software engineers will continue to grow as new AI-powered applications and solutions are developed.

Outlines

00:00

🤖 AI's Impact on Software Engineering Jobs

The video discusses concerns about AI replacing software engineers and how the industry has evolved. It outlines the historical context of software engineering, highlighting the 'easy money days' when startups could raise funds easily, leading to a high demand for engineers. The speaker then explains how the market changed around 2022 due to interest rate hikes, causing a reduction in liquidity and leading to layoffs in the tech industry. The video also touches on the personal impact of these layoffs, as experienced by the speaker at Meta.

05:01

🚀 AI as a Savior for Tech Companies

This section of the video script focuses on AI's role in reviving tech companies' fortunes. It discusses how AI promises to increase productivity and global GDP, leading to a state of abundance. The speaker mentions how major tech companies like Meta, Google, and Apple are investing heavily in AI, and how this has benefited companies like Nvidia. The video also delves into the rise of generative AI and its potential to create new applications, emphasizing that software engineers will be central to building these applications, thus AI is not replacing but empowering engineers.

10:03

🌟 The Emergence of Generative AI and New Tech Companies

The speaker highlights the emergence of generative AI and the founding of new tech companies that focus on AI models. Examples include Anthropic, Perplexity, Labs, Mid Journey, Stability AI, and Hugging Face. These companies, which did not exist five years ago, are now leading in their respective AI fields. The video argues that despite the rise of AI, the demand for software engineers is not diminishing; instead, engineers are needed to build and maintain the AI-powered applications that are becoming increasingly prevalent.

15:04

🛠️ The Role of Software Engineers in the AI Era

This part of the script emphasizes that software engineering is not just about coding but involves problem-solving, system architecture, and design documentation. The speaker argues that AI tools are assisting software engineers by automating parts of the coding process, allowing engineers to focus on more impactful tasks. The video mentions that companies like Meta and Google are continuing to hire software engineers, indicating that the profession is far from obsolete. The speaker also points out that even as AI tools become more sophisticated, the fundamental skills of a software engineer remain essential.

20:05

🌐 The Future of Software Engineering and AI

In the concluding part, the speaker reassures viewers that the world needs more software engineers, not fewer, despite the advancements in AI. The video suggests that the job market for software engineers is recovering as economic conditions improve. It also hints at a future video that will discuss how to become a software engineer in the AI era, emphasizing the importance of learning AI tools and adapting to the changing landscape of software development.

Keywords

💡AI

AI, or Artificial Intelligence, refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, AI is portrayed as a transformative technology that is reshaping the software engineering industry by increasing productivity and enabling the creation of new applications. The video discusses how AI is not replacing software engineers but rather empowering them to build more sophisticated software solutions.

💡Software Engineering

Software Engineering is the application of engineering principles to software development. It involves designing, developing, and maintaining software systems. The video emphasizes that software engineering is not just about coding but includes problem-solving, system architecture, and design. It asserts that despite the rise of AI, the demand for software engineers is growing as they are central to building the AI-powered applications of the future.

💡Zero Interest Rate Policy (ZIRP)

The Zero Interest Rate Policy (ZIRP) refers to a monetary policy where the central bank sets the nominal interest rate it charges on loans to other banks at zero percent. In the video, ZIRP is mentioned as a period when it was easy for companies to raise money, leading to an increase in hiring software engineers and a boom in the tech industry.

💡Liquidity

Liquidity in the financial context refers to the ease with which an asset can be converted into cash without affecting its price. The video discusses how high liquidity during the ZIRP days allowed for easy fundraising for startups, which in turn led to increased hiring of software engineers. Conversely, when liquidity tightened, companies faced challenges and had to downsize.

💡Interest Rates

Interest rates are the cost of borrowing money and are determined by central banks. The video explains that the increase in interest rates by the Federal Reserve and other central banks led to a decrease in market liquidity, making it harder for companies to raise funds and affecting their ability to hire and retain software engineers.

💡Generative AI

Generative AI refers to AI systems that can create new content, such as text, images, or code, based on existing data. The video highlights generative AI as a catalyst for the creation of new types of applications and services, which in turn creates more opportunities for software engineers to build innovative solutions.

💡Productivity

Productivity in the context of the video refers to the efficiency and output of work, particularly in the software engineering field. It is suggested that AI has the potential to significantly increase productivity by automating routine tasks, allowing software engineers to focus on more complex and impactful work.

💡Startups

Startups are new businesses that are in the initial stages of development and often seek funding to grow. The video discusses how startups, especially in the tech sector, were heavily influenced by the easy money environment during ZIRP, leading to a surge in hiring software engineers. However, when interest rates rose, many startups faced funding challenges and had to adjust their strategies.

💡FED

The FED, or the United States Federal Reserve, is the central banking system of the United States. In the video, the FED's decision to raise interest rates is highlighted as a pivotal moment that led to a global economic shift, affecting the liquidity in the market and consequently the ability of companies, especially tech startups, to raise funds and sustain their operations.

💡Layoffs

Layoffs refer to the termination of employment for a group of workers. The video describes a period of economic downturn where many tech companies, including Meta, had to resort to layoffs to adjust to the changing economic conditions. This had a significant impact on the workforce, including software engineers.

Highlights

AI is not replacing software engineering; instead, it's enhancing productivity and creating new opportunities.

The software engineering market in 2024 has evolved, with AI playing a significant role in shaping its future.

Zero interest rate policy (ZIRP) led to an influx of easy money, creating a boom in startups and software engineering jobs.

The Federal Reserve's decision to raise interest rates in 2022 marked a shift in market liquidity and funding accessibility.

Tech companies like Meta faced stock price drops, leading to layoffs and a market correction.

AI is seen as a savior for tech companies, promising increased productivity and global GDP growth.

Investments in AI by major companies like Meta, Google, and Apple are driving innovation and job creation in the software engineering field.

Generative AI has opened up new possibilities for software development, creating demand for software engineers to build innovative applications.

The rise of AI has not made software engineers obsolete; instead, it has empowered them to build more with less.

AI tools like ChatGPT and others are辅助软件工程师，而不是取代他们，通过自动化编码和其他任务来提高效率。

Despite the challenges, the demand for software engineers remains high, with companies like Meta and Google actively hiring.

The role of a software engineer extends beyond coding to problem-solving, system design, and architecture.

AI's impact on software engineering is reducing the time spent on coding, allowing engineers to focus on more impactful tasks.

New AI-powered tools are making it easier for aspiring software engineers to learn and build software quickly.

The future of software engineering is bright, with AI creating more opportunities for innovation and job growth.

The video concludes by emphasizing the importance of software engineers in the AI-driven tech industry.

Transcripts

is AI replacing software engineering

artificial intelligence will replace

software engineer for development

seemingly looming

threat what's up you guys I'm back with

another video and in this video we're

going to talk about the software

engineering industry and the whole

market and its state in 2024 so let's

get started all right so this video is

going to be broken down into two parts

the first part we'll dive into what has

happened and how the market has changed

changed and in the second part we'll

talk more about how it is today and how

it's going to be going forward so let's

rewind a little bit we go back to the

zerp days Zer means zero interest rate

policy this was easy money days because

companies found it very easy to raise

money and investors were easily

investing millions of dollars in all

kinds of startups just based on little

ideas and the reputation of the team

which is still kind of true even today

but back then it was way easier and like

we had all these crypto startups and

random startups raising a few million

dollars because there was so much

liquidity in the market what happened

was this period lasted for a while for

the past 10 years up until I would say

2021 2022 this is when things started to

change a little bit right back then

companies found it easier to raise money

so they were easily raising millions of

dollars and then they were hiring a lot

of Engineers right because the way to

demonstrate that you're spending this

money in a good way is to hire a big

engineering team so there was a lot of

obviously jobs and openings for

engineers and then once they hire these

my Engineers they were able to raise the

next round because now they have a

bigger team and then they want to have

an even bigger team so they want to hire

even more so they would raise even more

millions of dollars right so this was

easy money days even for software

Engineers if you were a good software

engineer you had plenty of options to

choose from because there's all these

companies they have all raised big

funding rounds and they're offering lot

of salary and there was like it was a

paradise for software Engineers because

you could pick and choose where you want

to work and people were misusing this

even some people I personally know

joined the company work there for a few

months and then on to the next one

because they were getting even more

money there this was too good to be true

and I kind of knew at the back of my

head that this isn't going to last

forever well it was the good old days

anybody could literally go and do a boot

camp or learn simple front-end framework

like react and build a few clone apps

like YouTube clone Netflix clone and

stuff and show them as projects and

easily get hired as a software engineer

things have changed a little bit because

in 2022 around 2022 things started to

change right because the FED which is

the American Federal Reserve decided to

raise the interest rates and this

started the whole cycle where the whole

world started raising interest rates and

now we are at a period where like

interest rates are above 5% so like the

liquidity in the market reduces because

people find it hard to get funded easily

because investors don't have as much

liquidity in their hands so what

happened basically companies founded

difficult to raise money at the same

time companies were also like finding it

difficult to increase their profits

because as there's less liquidity in the

market like companies started to spend

less money and when companies decide to

spend less money other companies would

make less money right so this snowballed

into a place where Market started to

crash like this was the turning point

right all the big stocks like Facebook

Google Microsoft all took a deep dive

because the markets were crashing

globally and this led to a period where

companies had to do something about it

right I remember because I work at meta

I remember that at one point our stock

price fell below $100 something had to

change right what happened layoffs

severe wave of job Cuts in July with

over 8,000 professionals laid off across

34 companies this was the worst time in

everybody's career I think it's not just

Engineers it affected everybody equally

I would say in some companies Engineers

were more affected but in my personal

experience at meta we had big rounds of

layoffs but engineering was the least

affected because meta is an engineering

company and there are so many other

software engineering companies which

prioritize their Engineers but at the

same time

during the zero interest rate days they

had hired too many Engineers they had to

correct a little bit right I can share a

little bit of my personal story at meta

right there was this day of layoff which

was in 2022 late 2022 there was this day

when we were all in the office and

suddenly uh we got an email that okay

meta is going to do layoffs and then

after this all of our connections were

blocked right we didn't have access to

our own laptops because our laptops are

controlled by meta right so here I am in

the office trying to log into workplace

and trying to access my Dev server and

we just didn't have access right so like

everybody started to panic like what

just happened did we all get laid off

like it was some people are saying like

maybe they tanked the whole Dublin team

but then we realized that this happened

across company right they blocked

everyone's access and then eventually

the people who were staying back started

to get their access back slowly it was

one of the most difficult days in my

career when everybody around me is like

panicking and people are crying and it

was like a difficult day right but

that's how it was that's how it was

across companies like some companies had

it worse I heard stories about Google in

New York when these people went to the

office and their badges wouldn't work

anymore because well they had been fired

so yeah it was difficult times and

companies had to do this like it had to

reset right and this was the big reset

keep in mind that this happened before

even chat GPD was released so it

probably had nothing of very little to

do with AI it had more to do with the

interest rates and the liquidity in the

markets and the fact that stocks were

crashing left and right okay now enters

the Savior ai ai is the big Savior for

all these tech companies right because

it promises it promises that there will

be a big increase in productivity there

will be a big increase in the GDP of the

whole world and that we will make so

much progress that the AI will help us

to create so much revenue that we will

we will be in a state of abundance right

because the GDP will be so high and the

companies will make so much money and

this is in fact true right like we

started to see all the companies start

investing billions of dollars like

biggest companies in the world like meta

Google Apple they started to invest

billions of dollars in Ai and at the

same time who benefited from this Nvidia

right we all know how Nvidia has gained

in terms of its stock value because well

Nvidia was at the center of AI because

all the companies needed these Hardware

these gpus to train their AI models and

suddenly it became so important right

because imagine open AI launches chat

GPD well actually I knew this because at

some point I found this on Twitter that

there was this thing called gpt2

playground right this is when I

discovered this whole AI game and I was

fascinated by it like you could just go

into the there was no chat GPD

application but there was this little

portal with like a little input box

where you could say something like

imagine you are a software developer now

write me a code for this simple HTML

page for example right and it would

actually output that word by word and it

was pretty good so they launched at GPD

and just changed everything right

because they literally gave rise to this

whole new industry of generative AI for

software Engineers because generative AI

unlocks so many new applications so many

new kinds of applications that can be

built now that were impossible to do

before right and all this benefits who

software Engineers because who's going

to build these apps because there's

going to be thousands and tens of

thousands of new apps and software

that's going to come out and well it's

already started but it's going to come

out and it's going to grow even more as

more and more people get into this and

start to become software Engineers

because software Engineers are in the

end going to be the ones building these

software because what is a software

engineer right it's an engineer who is

engineer is a builder of things and

software is what we're building right so

all this generative AI software and all

these other general purpose software

which can now get better with AI can be

built but will be built by software

Engineers who else do you think is going

to build all these apps and software is

it going to be Farmers doctors lawyers

no it's going to be software Engineers

like the world already has a lot of

software engineers and we're going to

start seeing even more of them because

it's now much easier to learn how to

build right like the AI is getting so

good that it's going to assist you and

it's going to help you in build whatever

you want to build and in the end you're

going to learn a lot and the learning

process has reduced like today I'm

confident that I can pick up a new

language and build a completely new tool

which I had no background in in just a

weekend it's that easy right and yes it

might vary from person to person like

some people who just getting started

might take a bit longer than me but like

they will eventually be able to learn

whatever they want to learn to build

whatever they want to build right these

people keep saying that software

engineering jobs are dead software

Engineers are obsolete but I think

that's kind of the antithesis of this

because in the end what they're doing is

like hey you know I don't know how to

quote but I can use cursor and composer

and repet agent and whatever to build

these apps so with the power of AI a lot

of people now have the power to start

building and like building new apps and

new services and in the end what they're

doing is becoming software Engineers

themselves right because look at it like

in just in the past two years since 2022

so many new companies have launched and

they have had the fastest growth ever in

history right look at companies like

anthropic they built Claud Sonet right

which is like the top end of AI models

right now it's even better than open AI

chat GPD look at perplexity perplexity

is this new kind of search engine which

they're trying to compete with AI to win

the search Market there's Labs which is

this new voice engine which is actually

powering almost 90% of the voice apps

like wherever you're seeing voice

interaction with computers it's usually

powered by 11 Labs because they're the

leader in this and they were also they

didn't exist 5 years ago then there's

mid Journey which is this AI photo

generation app that didn't exist 5 years

ago as well stability AI is the company

who launched this open- Source image

generation model called stable diffusion

and then it it gave rise to a whole new

industry of so many photo generating

apps like we all see levels iio photo AI

like this guy couldn't have built photo

AI without stable diffusion without

stability AI which again didn't exist 5

years ago right look at hugging face

hugging face is this other company which

is like the collection of all the models

like every single AI model will be found

on hugging face because this is like the

central repository of models right all

these companies didn't exist 5 years ago

because there was no need for it right

this generative AI wasn't a thing so

open AI single-handedly gave rise to

this new industry and there their

contribution is done I'm sure they're

cooking new things and they're going to

launch their GPD 5 and stuff and it's

going to be amazing but even if they

just stop at this they have done enough

they've contributed this whole new

industry to the world and now the world

can take it over like the world is ready

all the companies are working on this

like including not just these startups

but the big companies like meta has

launched meta AI like we have some of

the highest density of talent right we

have some of the best AI Engineers we

have some of the best software engineers

and the same is true for Google like

these guys have also built Gemini and I

think meta and Google Apple everybody's

going to launch their own Ai and it's

going to be better and better because

everybody's investing billions into this

right but again take a step back who is

going to be building these apps it's

going to be software Engineers like yeah

you can call yourself an AI engineer

data engineer whatever the new lingo

whatever the new jargon is in the end

fundamentally they're all falling into

the bucket of software Engineers like

even in these AI companies right okay

there is a role called AI research

scientist those guys are the ones who

have done the PHD who are actually doing

the math and statistics and to come up

with these new models but in the end

it's going to be software Engineers who

build these models and launch them into

production and build realistic apps like

chat jpd like it was built by software

Engineers chat jpd was basically a front

end a react app which was powered by

this gpt3 model or whatever right so in

the end you need to understand software

Engineers built software and don't be

confused software engineering is not

equal to coding coding is a very small

part of software engineering and it's

getting smaller by the day because as

these AI models get better at coding

they are actually offloading some of our

workload as software Engineers so me

personally I think I would spend maybe

20 to 30% of my time coding in my day

job because AI does a lot of the work

right so I can focus on other things

other more valuable more impactful

things like a software engineer does so

many things like okay first of all

you're solving a problem right problem

solving is the fundamental skill so for

example if you're going to build

software for banks Bank the banker will

come and tell you their problems but

they don't know what they want like in

the end they have no idea what software

is going to work for them the software

engineer figures out okay what are the

requirements like requirements Gathering

is the first step and then you come up

with the solution like how do you solve

the problem and then you will architect

a system to solve this problem you will

write design docs this is what I do

right we write design docs to propose a

solution and then we discuss it with

other engineers and then we start

building right when you start building

you break it down into smaller tasks and

then maybe each task can be worked a bit

quicker with AI because AI makes us more

productive right that's the whole

purpose of AI like the whole point

between this like AI rise of industry

like why did the stock market start

Rising again because these AI companies

made a bet that like look we are going

to build this Ai and it's going going to

increase the productivity of everyone

around the world which is in turn going

to create more abundance and more

resources and more output right it's not

like okay we build this AI so instead of

having 100 Engineers we can build the

same things with 10 Engineers so we will

let go of 90 Engineers no it doesn't

work like that you have 100 Engineers

they can now do the work of thousand

Engineers so yes smaller teams can

produce more output and that's what's

happening today right we need less

number of Engineers to build the same

amount of projects but that doesn't mean

the projects the number of projects

coming out will stay the same the number

of projects coming out will increase

because like there's so much software to

build like literally this is end of

almost end of 2024 and I'm telling you

there's so much software yet to build in

this world there's so many problems that

we can solve with software especially AI

powered software and these Solutions

were never possible before otherwise

they would already have been built in

fact if you don't believe me let's let's

start looking at these companies right I

have my laptop right here all right so

if you don't believe me let's take a

look let's take a look at um I don't

know perplexity AI right perplexity

careers is what we will

search okay let's go to perplexity

careers what do we have here our value

so and okay look at who they're hiring

they're hiring for AI inference engineer

AI research engineer AI software

engineer full stack engineering manager

senior search engineer so basically

these are all the engineers they're

hiring right like let let's look at

another company like anthropic okay

anthrop ropic careers so this is how by

the way you look at the jobs of a

company just search for the company and

their careers page right let's look at

this one jobs at anthropic core

engineering senior software engineer

infrastructure staff software engineer

infrastructure so look like they are

literally design engineer this is the

other thing right like designers are

also becoming Engineers because in the

end the companies need you to build

things right not just design things so

designers who can learn to code with AI

I have an advantage because they're also

becoming almost software Engineers but

they also have their design background

which is a plus like design engineering

is a growing field right now let's look

at other companies right let's look at

uh what was the other companies I

mentioned mid Journey mid journey is

special because they're like a small

team they're also like I don't even know

who the founder is but let's see let's

see what they're doing right mid Journey

careers openings at Mid

Journey so mid Jour is not hiring like I

said like mid journey is this mysterious

company let's skip them let's look at um

hugging face hugging face

careers current

openings so look hugging face is hiring

senior front end engineer right senior

frontend engineer US senior front end

engineer Europe developer experience

engineer look everybody wants these

Engineers right like who are these

Engineers they're all software engineers

and okay some of you might say what

about Devon Devon and these other

companies who are building software

Engineers okay let's look at Devon AI

right what is the name of the company

cognition cognition is the name of the

company right let's look at them so

these guys hypothesize that they will

build an AI software engineer who will

replace software Engineers right okay so

let's look at their jobs

page open positions General application

machine learning researcher software

engineer

like if Devon could build himself why

are they hiring software Engineers

because again like Devon can maybe write

code for you and all it applies to all

these software engineering startups

where like they're building automated

Engineers yes maybe they can build a

tool that can write code for you that

can automate this code for you and trust

me I work at meta we already have this

technology within the company we have ai

we have something called code compose

that helps us to write code and then we

have like also now we are opening

reviewers which can review pull requests

but in the end all of this assists

software engineers in building these

software faster right so I can do much

more work in the same amount of time

because I have these software

engineering helpers right it's not again

be clear that coding is one part of the

job and it's becoming easier because of

these AI Solutions right like people

talk about cursor and cloud and stuff

yes they're amazing tools right cursor

can help you get started very quickly

like even if you have an idea of what

you want to build you can prompt it to

cursor and then it can generate the code

for you but to be honest if you want to

build an actual app and launch it you

have to know already how it's going to

work like what Claude and uh Devon and

cursor help you to do is get your output

sooner like for example if I know what I

want to build I'll have to write the

code which which will take me maybe a

week right but with Claude and cursor

and these tools maybe I I can get that

code written for me within a few hours

hours or few minutes even right but I

need to know what this code is going to

be and that's just part of the job and

then what are you going to do with this

code like maybe okay it generated the

front end for you and it generated a few

apis and then you launched it how will

you deploy it deployment is also part of

software engineering right you want to

deploy it somewhere so that you can

serve real users fine you figured out

how to deploy it and you you're serving

real users now but then there will be

bugs right these users will run into

bugs the moment the moment you start

having real users you will see how many

bugs you face and bugs are different

from errors right like okay Devon can

solve the errors easily but what about

runtime bugs there's no errors

everything is working perfectly it works

on my machine there's this famous saying

it works on my machine right but what if

it doesn't work on the actual deployment

what if there's some nasty bug in the

cash or whatever like there's always

these race conditions and stuff

happening that is almost impossible to

debug unless you really focus and you

know how the system works you cannot

debug it you cannot solve solve these

bugs unless you know how the system

works you need to understand the people

who benefit the most from this kind of

help is software Engineers because it's

literally making our jobs easier it's

enabling us to do so much more right

because to build software you need to

know how it's to be built and then these

AI tools can help you move faster like I

can get started in language I never

heard about and I can come up with a

proof of concept within a matter of a

few hours even right because I already

know the fundamentals and the

fundamentals don't change it helps you

to learn the fundamentals to learn how

to solve problems to learn how to think

about design and how to architect a

system this is the job of a software

engineer right like yes design people

will learn slowly how to do this as well

product managers might also start to

learn this but in the end what are they

doing they are also becoming software

Engineers as a software engineer I think

it's a great superpower for you to learn

these AI tools and to use them for your

advantage right in conclusion the world

needs a lot more software and the people

who are going to build these software

the builders are going to be software

Engineers right look I'm not going to

sugarcoat it it's definitely harder than

it was four five years ago four five

years ago like I said you could just

learn a front-end framework and build a

few little projects and that was enough

to get a job and you might have to learn

a lot more and prove and demonstrate

that you can do quality work and stuff

and you can still there's plenty of jobs

they're going to be plenty of more jobs

like meta is hiring again we are hiring

a lot of Engineers we Google is hiring

like all the companies have restarted

hiring because the interest rate storm

has come down a bit and the economy is

getting better in fact Federal Reserve

is going to reduce interest rate right

about now so this is going to get better

right like it was just this period of

time where companies had to adapt to

this High interest rate environment so

the easiest thing they could do was lay

off a big part of their teams but that

doesn't mean it's the end for software

Engineers it's far from it trust me

there's so much tools we need to build

there we have a lot of things to build

so don't give up well with that said I

wanted to also talk about how to be a

software engineer and how to adapt in

this AI world but I'm going to make

another video on this because I think it

deserves its own video and this video

has already been longer than I expected

it to be so with that said I hope you

like this one I hope you found value

from it I will see you on the next one