Sorry Devin You Can't Replace our Jobs
Introduction My name is Mojo, and I am an Anti Devin seasoned software engineer with over three decades of experience. I have been keeping an eye on the latest developments in AI, especially the buzz around a new AI called Devin, the world's first AI software engineer ????. Devin (the most hated AI software engineer) Devin has access to all the developer tools I use daily – terminals, browsers, code editors, you name it. It can solve problems by scouring the web for solutions, much like a human engineer Googling for answers. Cognition (makers of Devin) Twitter threads highlight Devin's smashing benchmarks, outperforming other AI tools in solving real-world coding problems. // Detect dark theme var iframe = document.getElementById('tweet-1767548763134964000-378'); if (document.body.className.includes('dark-theme')) { iframe.src = "https://platform.twitter.com/embed/Tweet.html?id=1767548763134964000&theme=dark" } They say it can handle ????️ Entire coding projects ???????? Land freelancing gigs on platforms like Upwork ???? Fix issues on GitHub ???? and even deploy code independently. Sounds pretty impressive, right? Well, hold on a second, let me tell you why I'm NOT hitting the panic button just yet. Devin AI vs Human Software Engineers I know that while AI like Devin may be experts in simple tasks, they often struggle with complexity. Plus, there's the risk of AI hallucination, where the code may look good but FAILS to address the actual problem. Despite Devin's impressive demos and the fear-mongering headlines about AI taking over software engineering jobs, I stay GROUNDED. Do you think that companies would entrust sensitive codebases to AI without human oversight? NOT A CHANCE. Human software engineers are leading the role in reviewing and refining AI-generated code. We're the ones who make sure that the code actually solves the problem at hand. After all, humans bring the most important skills to the table – problem-solving, critical thinking, and understanding complex systems. It Remains a Hype I go back on the evolution of coding tools over the years, from basic text editors to sophisticated AI assistants like GitHub Co-Pilot. These tools did boost productivity but didn't replace human creativity and strategic thinking. We know that GitHub Copilot is worth it if you use it as an assistant. But NEVER expect it to magically write complete source code for you. As technology advances, we spend less time on dull tasks and MORE time on the creative and strategic aspects of software development. Moreover, while there's hype about AI disrupting the industry, I recall similar fears when tools like Co-Pilot were first introduced – yet they ended up boosting productivity, not stealing jobs. // Detect dark theme var iframe = document.getElementById('tweet-1770035654212153795-897'); if (document.body.className.includes('dark-theme')) { iframe.src = "https://platform.twitter.com/embed/Tweet.html?id=1770035654212153795&theme=dark" } Despite all the hype surrounding AI in recent years, how many stories have you heard about software engineers losing their jobs to AI? NONE. Exactly. While AI has its strengths, there are still countless aspects of software development that require human ingenuity and experience. Good news for beginners backend developers! Beginner developers often struggle with choosing the right tech stack, leading to wasted time and motivation loss. To tackle this, I've created a clear 6-month backend roadmap with Notion so that you can easily track your progress. It provides weekly and daily tasks, guiding you through the essential tools, languages, and courses needed to become a backend developer in 6 months. This roadmap: ????️ Provides a clear path to avoid confusion. ???? Helps you stay motivated by outlining where to start and end. ???? Follows a structured plan, similar to a school syllabus. ???? Organizes your learning with weekly goals for tools and languages. ⏳ Ensures completion in 6 months, covering everything you need. ???? Features a beautiful design for easy navigation. Conclusion To wrap up, I would say NOT to panic. AI may develop, but so will the role of human engineers. Eventually, as we all know, coding isn't just about writing lines of code; it's about problem-solving, collaboration, and creativity – things that AI can't replace. Make sure to share your perspective in the comment section. Until next time, keep learning. Subscribe to my FREE weekly newsletter for AI-related news purely focusing on developers.
Introduction
My name is Mojo, and I am an Anti Devin seasoned software engineer with over three decades of experience.
I have been keeping an eye on the latest developments in AI, especially the buzz around a new AI called Devin, the world's first AI software engineer ????.
Devin (the most hated AI software engineer)
Devin has access to all the developer tools I use daily – terminals, browsers, code editors, you name it.
It can solve problems by scouring the web for solutions, much like a human engineer Googling for answers.
Cognition (makers of Devin) Twitter threads highlight Devin's smashing benchmarks, outperforming other AI tools in solving real-world coding problems.
// Detect dark theme var iframe = document.getElementById('tweet-1767548763134964000-378'); if (document.body.className.includes('dark-theme')) { iframe.src = "https://platform.twitter.com/embed/Tweet.html?id=1767548763134964000&theme=dark" }
They say it can handle
- ????️ Entire coding projects
- ???????? Land freelancing gigs on platforms like Upwork
- ???? Fix issues on GitHub
- ???? and even deploy code independently.
Sounds pretty impressive, right?
Well, hold on a second, let me tell you why I'm NOT hitting the panic button just yet.
Devin AI vs Human Software Engineers
I know that while AI like Devin may be experts in simple tasks, they often struggle with complexity. Plus, there's the risk of AI hallucination, where the code may look good but FAILS to address the actual problem.
Despite Devin's impressive demos and the fear-mongering headlines about AI taking over software engineering jobs, I stay GROUNDED.
Do you think that companies would entrust sensitive codebases to AI without human oversight?
NOT A CHANCE.
Human software engineers are leading the role in reviewing and refining AI-generated code.
We're the ones who make sure that the code actually solves the problem at hand.
After all, humans bring the most important skills to the table – problem-solving, critical thinking, and understanding complex systems.
It Remains a Hype
I go back on the evolution of coding tools over the years, from basic text editors to sophisticated AI assistants like GitHub Co-Pilot.
These tools did boost productivity but didn't replace human creativity and strategic thinking.
We know that GitHub Copilot is worth it if you use it as an assistant.
But NEVER expect it to magically write complete source code for you.
As technology advances, we spend less time on dull tasks and MORE time on the creative and strategic aspects of software development.
Moreover, while there's hype about AI disrupting the industry, I recall similar fears when tools like Co-Pilot were first introduced – yet they ended up boosting productivity, not stealing jobs.
// Detect dark theme
var iframe = document.getElementById('tweet-1770035654212153795-897');
if (document.body.className.includes('dark-theme')) {
iframe.src = "https://platform.twitter.com/embed/Tweet.html?id=1770035654212153795&theme=dark"
}
Despite all the hype surrounding AI in recent years, how many stories have you heard about software engineers losing their jobs to AI?
NONE.
Exactly. While AI has its strengths, there are still countless aspects of software development that require human ingenuity and experience.
Good news for beginners backend developers!
Beginner developers often struggle with choosing the right tech stack, leading to wasted time and motivation loss. To tackle this, I've created a clear 6-month backend roadmap with Notion so that you can easily track your progress.
It provides weekly and daily tasks, guiding you through the essential tools, languages, and courses needed to become a backend developer in 6 months.
This roadmap:
- ????️ Provides a clear path to avoid confusion.
- ???? Helps you stay motivated by outlining where to start and end.
- ???? Follows a structured plan, similar to a school syllabus.
- ???? Organizes your learning with weekly goals for tools and languages.
- ⏳ Ensures completion in 6 months, covering everything you need.
- ???? Features a beautiful design for easy navigation.
Conclusion
To wrap up, I would say NOT to panic. AI may develop, but so will the role of human engineers.
Eventually, as we all know, coding isn't just about writing lines of code; it's about problem-solving, collaboration, and creativity – things that AI can't replace.
Make sure to share your perspective in the comment section. Until next time, keep learning.
Subscribe to my FREE weekly newsletter for AI-related news purely focusing on developers.
What's Your Reaction?
