Interesting perspective. I think AI makes good developers faster, but fundamentals still matter. Great read.
Is AI Making Us Worse Developers?
20 Comments
And the worst part is that we create agents to review AI generated code, yet we often don't review the code ourselves.
At the end of the day, if the business flow is wrong, who will be held accountable? Claude, Codex, or Cursor?
AI can assist, generate, and even review code, but responsibility for the final outcome still belongs to us.
Please log in to add a comment.
@[Raphael] I thin k the concern is about the fact that with time, you can even lost the ability to really debug difficult problem. If you do not have the structure in mind because at some point you let AI suggest and manage as it was a good proposition (for barely the task) and the AI took it for the rest of the project if not careful.
Please log in to add a comment.
@[elysianx] That's already happening in many companies. AI isn't always being used just to empower employees some organizations are actively replacing people with AI to reduce costs and increase efficiency. At the same time, many companies are rushing to adopt AI and burning through huge amounts of tokens and resources without a clear strategy.
@[Spyros] I agree with what you said. It's true that many companies are trying to use AI to reduce costs and increase efficiency. But the real question is: how do we balance AI and human.
The development of computers doesn't mean we should give up basic subjects. On the contrary - we need to learn them ever harder to adapt to the development of society.
Think about the Industrial Revolution: steam engines freed up productivity, but it didn't make workers disappear entirely. On the contrary, highly-skilled workers became even more in demand.
So I believe AI brings productivity and creativity, but it won't completely replace humans.Instead, those who know how to use AI to amplify themselves will not be replaced.
Based on what you said, I'd ask: after replacing employees, do these companies become stronger? Or do they just save money in the short term while losing the human expertise they still need?😄
@[elysianx] I agree, and I think companies are asking themselves the same question. After investing so heavily in AI over the past year, what have they actually gained? Short term, AI can reduce costs and increase productivity. But if teams lose deep technical knowledge, debugging skills, and architectural thinking, those savings may not last. AI is a great accelerator, but human expertise is still what keeps software reliable in the long run.
Please log in to add a comment.
Brain is like muscle - stop training it, it will atrophy. Using AI is a lazy shortcut. Sure, if you are a backend dev, it can save you time writing a lot of frankly boring code that mostly glues models at various boundaries together. However using it for actually interesting features is doing disservice to your brain.
Also also - who cares if it makes you faster? Unless you have your own startup and working on your own project, being faster nets no tangible benefit to you personally. Majority of that benefit goes straight into your CEO's pocket.
Please log in to add a comment.
I feel the same way. I use AI daily for development, and it's one of the biggest productivity boosts I've ever had. But I've also noticed that it's easy to become an "AI reviewer" instead of an engineer. The real value comes from treating AI as a pair programmer not an autopilot. I still make it a habit to understand the architecture, trace the execution flow, and debug issues myself. AI should accelerate our thinking, not replace it. The developers who'll thrive are the ones who combine strong engineering fundamentals with AI, not those who depend on it for every line of code.
Please log in to add a comment.
Please log in to comment on this post.
More Posts
- © 2026 Coder Legion
- Feedback / Bug
- Privacy
- About Us
- Contacts
- You Tube
- Premium Subscription
- Terms of Service
- Early Builders
With years of experience in software development and quality engineering, I focus on solving real-world challenges faced by QA teams, especially test maintenance, regression testing, and scaling automation.
Through my writing, I share practical insights about software testing, QA automation, AI in testing, developer productivity, and building reliable software.
At QAlity, our goal is simple: make test automation accessible for everyone, from QA engineers to developers and product teams. Show less
More From Chitrajan Dhiman
Related Jobs
- Software Engineer, Test & Infrastructure II (Bilingual Spanish)Vail Systems · Full time · Springfield, IL
- Full Stack Java/Go Developer (Bilingual English/Spanish)Dev Technology · Full time · Arlington, VA
- Language Data Annotator ( Spanish)Innova software Services Inc · Full time · Canada
Commenters (This Week)
Contribute meaningful comments to climb the leaderboard and earn badges!