Most AI code reviewers catch formatting issues. Here's what tools actually find logic bugs, race conditions, and security holes—and why context matters.
Fast prototypes don't mean sloppy code. Learn how to run effective prototype sprints that ship real features without creating technical debt nightmares.
Code quality scanners measure syntax. Real technical debt lives in architectural complexity, dependency rot, and knowledge concentration. Here's how to measure what matters.
How understanding code dependencies and blast radius before deployment prevents the bugs that code review misses.
AI-generated prototypes are impressive demos. They're terrible production systems. Here's where vibe coding ends and real engineering begins.
Code reviews catch style issues and obvious errors. They miss the architectural bugs that cause production incidents. Here's why, and how to fix it.
That "temporary" feature flag from 6 months ago now controls 3 code paths. Here's how feature flag debt accumulates and how to detect it.
A quick checklist for evaluating codebase health, team practices, and knowledge risks before accepting an engineering role.