Baz

Review platform running specialized agents (code, spec, security, merge) on GitHub, GitLab, and Azure DevOps PRs with sandbox execution.

[ Facts ]

Category: AI PR Review
Open source: No
Pricing: Pro $30/active dev/mo plus usage credits ($0.01/credit; agent sessions ~$1.00-$4.30; vendor suggests $20-$50/dev/mo); Enterprise custom source
Self-hosted: Enterprise only — Private Mode (data-plane pod in your AWS EKS) on Pro and Enterprise; full VPC deployment is an Enterprise capability.
Platforms: github, gitlab, azure-devops
Model control: Fixed vendor models (managed AI services incl. OpenAI); no BYOK or model choice documented
Last verified: 2026-08-11

Based on public documentation as of 2026-08-11. ✓ documented · ~ partial · ✗ not offered · ? unknown. Methodology on the about page.

Agents run against the full cloned repo in a sandbox; Datadog integration links production signals to changes.

Custom reviewers via dedicated system prompts dispatched on matching diffs; quiet-default mechanics not documented.

Terminal CLI for AI-assisted review plus Claude Code and Cursor plugins alongside PR reviews.

Jira/Linear tickets enrich review context; CLI docs cite verifying requirements against linked tickets.

Detects recurring feedback patterns in PR history and turns them into reusable reviewers; no per-suggestion learning.

Sandbox runs validation commands (tests/linters) after fixes; Spec Reviewer launches the app and validates in a browser.

Published per-session credit costs; no BYOK and no token-level cost visibility.

Fixer sessions apply fixes in the sandbox with validation before committing; can send fixes to Cursor.

Merger Agent Stats dashboard (merge readiness, throughput); analytics on all plans; no DORA or cost-per-PR metrics.

Evaluating Baz?

Run it through the two-week trial protocol before you commit.