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Developer builds lightweight workflow to keep AI-assisted coding controlled and reviewable

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Software developer David spent one week building a local app with AI assistance, focusing on keeping the project structured and understandable rather than simply fast. He found that the core challenge of AI-assisted development is not writing code but managing context effectively. To address this, he adopted a three-step loop: drafting a task brief, giving the AI a bounded instruction set, and conducting a final review with updated project documentation. He used live documents to track architecture, data contracts, and technical debt, updating them after each implementation step rather than after the project was complete. David published three companion articles and a GitHub repository detailing the workflow, its technical application, and honest responses to common criticisms of the approach.

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