Code Review

What is AI code review?

Traditional code review is humans checking each other's work: before a merge, someone reads your changes line by line, hunting for bugs, risks and style problems. AI code review brings a model into that loop. It scans a whole changeset in seconds, flags likely bugs, security issues and confusing spots — a second pair of eyes that never sleeps.

What can AI actually catch?

Dumb mistakes
Null pointers, out-of-bounds access, leaked resources — the small stuff humans miss, AI finds fast and thoroughly.
Security holes
Injection attacks, hardcoded secrets, vulnerable dependency versions. AI can check each against known vulnerability databases.
Readability suggestions
Naming, function size, missing comments — it gives feedback like a senior engineer would.

Will it replace human reviewers?

No — it's more of a division of labor. The AI casts a wide net and flags everything suspicious; humans make the calls on what really matters, what's acceptable, and how to fix it best. Machines surface leads, people decide.

Why it's spreading fast

Teams ship quickly and people are stretched thin, so manual review can't keep up. AI holds the baseline — "every line gets looked at" — and frees humans for the parts that need real experience and judgment.

Bottom line: AI code review is a 24/7 security check for your code. Machines find the issues; humans make the calls.