Stop treating code quality as an afterthought. I built a system of 5 AI agents that automatically validate my code before every push: documentation, security audits, accessibility checks, and changelog generation—all orchestrated seamlessly. Here's how the Orchestrator-Worker pattern transformed my pre-commit workflow into an "agentic" developer experience.
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Retrodocumentation of Legacy Projects with AI: A Practical Guide for Gemini CLI, Claude Code, and GitHub Copilot
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In recent months, I've experimented with various artificial intelligence tools dedicated to automatic code documentation generation. This is a rapidly evolving area with much deeper implications than it might seem: it's not just about "writing better comments," but about redefining how we understand, design, and maintain software, especially in a world where more and more code is generated through approaches like **vibe coding** or **AI-assisted coding**.
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For decades, Google Search has been the gateway to digital knowledge, a Search Engine whose primary goal was simple: index the web and provide the most relevant list of links in response to a query. Its success was measured by its ability to help us find the right information, leaving users with the "heavy lifting" — clicking, comparing, navigating, and ultimately, acting.
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