Bug and correctness checks
The AI identifies logic errors, off-by-one mistakes, null-pointer risks, and incorrect API usage — issues that often slip through manual review.
AI Workloads
Code review that never gets tired
Kabori performs thorough code reviews with full codebase context — catching bugs, security issues, and architectural inconsistencies before they reach your main branch.
Live output
This is what your next reviewer looks like
Every finding ranked, categorised, and pinned to the exact line. Plus what already passed — so you ship with confidence, not anxiety.
~38saverage review time
12findings surfaced
0human bottleneck
gitlab.com/acme/api · MR !42 · AI Review
Priority levels
Critical → Low, ranked so you fix what matters first
File + line precision
Pinned to the exact offending line
Categorised findings
Quality, maintainability, code style
Passed checks
See what's already solid, not just what's broken
Under the hood
What the reviewer actually does
Kabori reviews diffs with the same care a senior engineer would — without the calendar bottleneck.
Security analysis
OWASP Top 10 patterns, injection vulnerabilities, insecure deserialization, and exposure of sensitive data are flagged before code is merged.
Architectural consistency
Reviews consider your existing patterns and conventions — flagging deviations from the codebase's established architecture, not just the diff in isolation.
Actionable feedback
Every finding comes with a specific suggestion — not just a description of what's wrong, but a concrete recommendation for how to fix it.
Merge with confidence
Join the early access program and let Kabori be your first reviewer — so the code that reaches humans is already solid.
Get Early Access