Six Months of AI-Assisted Software Development: A Critical Evaluation of Vibe Coding, Agentic IDEs, and Real Engineering
The article evaluates six months of experience with AI-assisted software development, highlighting both the benefits and pitfalls of using such tools. While AI can enhance productivity, relying solely on it can lead to significant technical debt and other issues. The author emphasizes that real engineering knowledge remains crucial in the software development process.
- ▪The author worked with large language models and AI-assisted coding tools for six months.
- ▪AI can increase developer productivity but can also create technical debt and misleading metrics if over-relied upon.
- ▪The author found that while AI tools excel at scaffolding projects, they struggle with complex systems.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3966316) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Onur GUZEL Posted on Jun 3 Six Months of AI-Assisted Software Development: A Critical Evaluation of Vibe Coding, Agentic IDEs, and Real Engineering #ai #opensource #hudhudscript #rust Six Months of AI-Assisted Software Development: A Critical Evaluation of Vibe Coding, Agentic IDEs, and Real Engineering Introduction For roughly the past six months, I have been working intensively with large language models, agentic IDEs, and AI-assisted coding tools.
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