First AI Software Engineer Devin By Cognition AI :(- Lag Gaye Bhai
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
🤖 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.
🚀 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
💡Cognition AI
💡Benchmarking
💡API
💡Debugging
💡Deployment
💡Integrated environment
💡Long-term planning
💡Real-world tasks
💡Human versus AI
💡Future of software engineering
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
hello all my name is krishak and welcome
to my YouTube channel so guys I hope
everybody has heard about the first AI
software engineer named as Devon the CEO
of cognition AI himself provided a
specific demo and right now it is there
available in Twitter and some other
social media platform but but just by
seeing the demo definitely the AI is
able to do all the task that is
specifically required by a software
engineering software engineer guys right
whenever we develop a product and many
more things from document M ation to
development so first of all let's go
ahead and probably see the entire demo
of the specific video uh that how Devon
is able to act as a software engineer
and perform all the task out there and
then we will try to see that how the
future of software engineering looks
like after seeing this specific video so
let's go ahead and see the
video hey I'm Scott from cognition Ai
and today I'm really excited to
introduce you to Devon the first AI
software engineer let me show you an
example exle of Deon in
action I'm going to ask Devon to
Benchmark the performance of llama and a
couple different API
providers from now on Devon is in the
driver's
seat first Devon makes a step-by-step
plan of how to tackle the
problem after that it builds a whole
project using all the same tools that a
human software engineer would use Devon
has its own command
line its own code
editor and even its own
browser in this case de Devon decides to
use the browser to pull up API
documentation so that it can read up and
learn how to plug into each of these
apis here Devon runs into an unexpected
error Devon actually decides to add a
debugging print
statement reruns the code with the
debugging print statement and then uses
the error in the logs to figure out how
to fix the bug
finally Devon decides to build and
deploy a website with full styling as
the
visualization you can see the website
here all of this is possible today
because of the advancements that we've
made in both reasoning and long-term
planning it's a really hard problem and
we've only just started but we're super
excited about the progress that we've
made so
far in the meantime if you'd like to try
out Devon on your own real world tasks
send us a request below and we'd be
happy to forward it to
Devon so guys great I hope everybody has
seen this specific demo video of Devon
and from what I see yes uh with respect
to all the task right the the kind of
task that is probably given to to Devon
was to compare llama 2 model from
various apis right like and probably
check the performance and speed now over
there what it has done is that it is
being able to browse it is being able to
see the errors and probably fix those
kind of errors with respect to the ID
that itself it also has an ID so it has
actually provided a complete integrated
environment whatever things are
specifically required for a software
engineering from API testing to
deployment everything was available over
there and by that specific interaction
it was able to do a fabulous task and
when I say with respect to time I hope
the time was also very much faster when
compared to a normal software
engineering now uh this kind of task
obviously uh if I probably see with
respect to efforts there will be some
efforts that will be required by a human
being but with respect to difficulty
what I feel is that the difficulty is
still less you know so in the future I
don't know like if we really have a very
difficult problem statement to probably
work in in the software engineering how
we may be working or how this specific
tool will be working uh after this tool
probably comes out we will be able to
check it out you know so obviously if
you really want to check out this
particular tool I said that you can also
go ahead in their website and probably
request for those particular access and
then you can also try it from your side
now again the future of AI AGI and right
now you're seeing a software engineer
right a AI software engineer which may
probably replace many other people you
know because with respect to software
engineering also right there are many
people who is involved in developing a
bigger products right there will be a
team of 20 30 people based on on the
type of product that you're specifically
working in and there are a lot of task
and just by seeing this entire
environment which is integrated all
together with each and everyone like you
have command prompt access you have the
deployment access you probably have all
the cloud access you have the browser
access and automatically the AI is able
to do it um right now this looks you
know yes they are able to do the
specific task but again when a very
hardcore task is probably given I don't
know how they going to perform uh but
yes uh this looks little bit dangerous
what I see but I still feel that uh we
human being can do much more better yes
we may take some time to to probably
develop a good product you know for
thinking purpose for documentation
purpose and many more things uh and I
don't think so still AI probably a AI
software engineer can replace a normal
software engineer unless and until you
know that kind of task is quickly being
done by the itself but still a kind of I
don't know uh a lot of statements will
probably come over here and many people
will think that AI job may go there are
chances um but this looks really little
bit of dangerous kind of stuff you know
where you are able to see all these
things in front of your eyes uh but
again don't know what will happen in the
future so let me know what are your
point of view with respect to this but I
still feel I have that that confidence
to it towards the human side when
compared to AI but yes uh uh when this
tool will probably roll out in the
market definitely we'll be able to
compare it a lot so I hope you like this
particular video um this was it for my
side and yes uh as I said uh always my
stand will be towards more towards the
human side when compared to the AI uh
yes AI is good enough to probably do
your task much more faster but I feel AI
should not replace human being so yes
this was it for my side I hope you like
this particular video I'll see you in
the next video have a great day thank
you and all take care bye-bye
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