Using AI for code review that finds real bugs, tests worth keeping, and docs and commit messages that stay useful.
How to prompt AI reviewers so they catch concurrency races, off-by-one errors, and broken invariants instead of restyling your braces.
Most AI-generated tests assert that the code does what it does. Here's how to get tests that pin behavior and fail for the right reasons.
AI is great at describing what code does and terrible at explaining why. Here's how to get documentation and commits that answer the question that matters.