45% of AI-Generated Code Has a Security Flaw. Here Is the Review Habit That Catches Most of Them
A practical security-review routine for AI-generated code: make the model audit itself, check secrets and authorization, verify dependencies, and test the edges.
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Vibe Coding Without Breaking Your Build: The Practices That Actually Hold Up
The vibe coding practices that hold up in 2026: plan first, a rules file, tight commits, self-review, and the 45%-flawed-code caveat that keeps you honest.
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The One File That Makes AI Code Fit Your Project Instead of Fighting It
A rules file is the highest-return habit in AI-assisted coding: it gives the model your stack, conventions, schema, and patterns so its output fits your project.
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