Fixer (SDLC)
Commits small, safe fixes straight to the PR, each with a short rationale you can accept or tweak. It only proposes edits low-risk enough to apply automatically.
Product
AI Code Review
Review confirms quality. It doesn't create it.
Baz reviews every change with the context reviewers need: the plan, the codebase, runtime evidence, ownership, and team rules. Developers see fewer comments, clearer evidence, and fixes they can trust.
Fig. 001 - the standards your team already wrote become the reviewers' context. Drag the divider: Baz works beside your tools.
What's inside
Give every change the reviewers it needs
Each agent reviews one thing well: correctness, security, spec, ownership, and merge. They read the change in context and return findings with evidence, posted as PR comments and CI checks.
Merger (SDLC)
Once CI passes and the review is satisfied, Merger decides whether a PR needs careful human eyes or can go straight to production, returning merge, reject, or escalate.
SRE Agent (SDLC)
Finds reliability and performance risks using observability tools like Datadog, then opens fixes as PRs, correlating code with real system behavior: retries, error handling, slow queries, missing logs.
Spec Reviewer
Pulls the requirements out of tickets and designs, then checks the implementation against each one: met, partially met, or not met, with evidence.
Advanced Security
Reviews changes for exploitable behavior across auth, input handling, and data exposure, backing each finding with surrounding code, related repositories, and runtime signals. It can scan a whole repository on demand, not just the diff.
Code correctness reviewers
Logical Bugs, Breaking Changes, and Type Inconsistency reviewers trace execution paths, tie API changes to the consumers they break, and flag types that fail at runtime.
Memory
Every reviewer remembers your team's calls. Give the same feedback twice and the reviewer adapts, with versioned memories you can revert.
The shift
From scattered comments to one clear review
Review as correctionReview as confirmation
Reads the diff, one file at a timeReads the change in context: consumers, runtime, ownership
Findings arrive as opinions to debateFindings arrive with evidence: code, tests, runtime signals
The same feedback re-litigated every PRReviewer memory learns your team's calls once
Make review a confirmation, not a correction
Connect a repository and the agents review with full context from day one. Want them tuned to your standards first? Talk to us.