AI Code Review Agent

6 Interactive Sessions

Short, interactive sessions — watch it work, steer it, then build it yourself. Go deeper anytime with the full code walkthrough.

1. 1

   Read the Diff — structure beats text

   Before you can review a change, you have to turn it from text into structure: which language, which function, which symbols, what kind of change. You can't reliably catch a bug you only ever read as a string.

2. 2

   Find the Bugs — five lenses, recall first

   Run five detectors over the parsed code — bugs, security, anti-patterns, complexity, style. Catch the SQL injection on line 42 and the unhandled retry failure without burying the dev in style nits they'll learn to ignore.

3. 3

   Score the Change — one number hides where it's weak

   Turn a pile of issues into a score a dev can act on — but break it into dimensions, because PR #247 is fine on style and fails hard on security, and a single overall number would hide exactly the thing that should block the merge.

4. 4

   Write the Review — advise, don't merge

   Turn "SQLi at line 42" into a review a dev can act on: an inline comment on the line, the risk in plain words, a concrete parameterized-query fix, a severity ranking, and a PR summary. The agent comments and can block; the human decides and merges.

5. 5

   The Review Desk — where the dev actually sees it

   Put the whole pipeline in front of a person: a dashboard of open PRs, a diff viewer with the line-42 comment pinned exactly where the bug is, and a quality gauge that shows the red security fail at a glance. A review nobody sees is a review that didn't happen.

6. 6

   Ship It in CI — every PR, automatically, and honest about it

   Make the review real: a GitHub webhook fires on every PR, the agent reviews in seconds, posts its comments, and sets a check status that can block a critical merge. And measure whether it's accurate or crying wolf — because a review that flags noise gets turned off.

What you walk away with