AI Code Review

Catch bugs, security vulnerabilities, and quality issues on every pull request with context-aware AI reviews

CloudThinker reviews every pull request on your connected GitHub or GitLab repositories with full context of what the change is trying to do, not just individual lines. Findings appear as in-line comments with severity ratings and remediation guidance.

Rules-based scanners match syntax patterns; CloudThinker reads intent. It knows when code touches infrastructure — IAM policies, S3 permissions, database queries — and flags cloud-specific risks alongside logic bugs and vulnerabilities. Security and quality run in a single pass, so reviewers see one set of findings in the tools they already use.

How it works

1. Detect — a developer opens a pull request on a connected repository. CloudThinker picks it up automatically.
2. Gather context — Oliver reads the full diff, the Jira ticket linked from the branch name or PR title, and relevant Confluence documentation.
3. Analyze — the review runs in parallel across security, quality, and cloud-infrastructure dimensions.
4. Post findings — in-line comments land on the PR with exact line references, severity ratings, and remediation guidance.
5. Track — critical findings auto-create Jira tickets when Atlassian is connected. When you push a fix, the next review verifies it and updates the ticket, and every finding feeds the Leaderboard.

A critical finding automatically becomes a Jira ticket with severity, remediation steps, and a link back to the PR

What you can do

Capability	Description	Learn more
Bug detection	Catch logic errors, null-pointer exceptions, off-by-one errors, and edge cases before merge	Setup
Security analysis	Flag SQL injection, XSS, SSRF, hardcoded secrets, and cloud-specific IAM risks	Oliver
Convention enforcement	Apply the convention files already in your repository to every review	Convention rules
PR commands	Mention @cloudthinker-ai in a PR comment to re-review or ask questions	Mention commands
Issue-tracker context	Pull Jira requirements and Confluence standards into reviews; push findings back as tickets	Extensions
Team analytics	Track review trends, developer scores, and skill coverage over time	Analytics

Get started

Set up code review

Connect your GitHub or GitLab repositories in under 5 minutes

Mention commands

Interact with CloudThinker directly from PR and MR comments

Convention rules

Teach reviews to follow your team’s coding conventions

Leaderboard

Track team review activity and code quality improvements over time