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Spec-Driven Development and the future of AI-assisted software engineering #5007
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I’ve been thinking a lot about this topic lately. I’ve been programming since I was 10, and I’ve started noticing a decline in the quality of the code I write because of how heavily I’ve been relying on AI. It’s made me wonder if I’ve gone too far. What would you recommend to someone just starting out? And do you think beginners should have this much access to AI tools? More importantly, how do you find the right balance between using AI to boost productivity and making sure you’re actually developing the skills needed to work independently? How can you properly review AI-generated code instead of just skimming through it? I genuinely want to hear a professional’s perspective, especially since I’m starting college next year. I swear, writing this without AI was harder than I expected kkkkk |
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AI coding agents are changing how we build software, but software engineering is about much more than generating code.
I believe Spec-Driven Development (SDD) offers a more structured approach to building reliable software than relying solely on vibe coding. Clear specifications, deliberate planning, and validation can help reduce unnecessary iterations and make better use of AI agents.
I recently contributed to GitHub Spec Kit, and my PR has been merged:
#4957
I also shared my thoughts on SDD and the evolving role of software engineers in the age of AI on LinkedIn:
https://lnkd.in/p/eXZhYj_3
I’d love to hear how others are using SDD in real-world projects. Where does it provide the most value, and when does it become unnecessary overhead?
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