Baz
AI PR Review · #3 of 20 in category · #3 of 27 overall
Review platform running specialized agents (code, spec, security, merge) on GitHub, GitLab, and Azure DevOps PRs with sandbox execution.
[ Where it fits ]
On the documented evidence, Baz suits larger orgs willing to buy an enterprise plan for self-hosting, teams that want findings validated before they land on the PR.
[ Documented strengths ]
- Multi-dimensional Context. Agents run against the full cloned repo in a sandbox; Datadog integration links production signals to changes.
- Dual-Workflow: Local vs. PR. Terminal CLI for AI-assisted review plus Claude Code and Cursor plugins alongside PR reviews.
- Sandbox Validation. Sandbox runs validation commands (tests/linters) after fixes; Spec Reviewer launches the app and validates in a browser.
- Actionability. Fixer sessions apply fixes in the sandbox with validation before committing; can send fixes to Cursor.
[ Documented gaps ]
No standard is documented as unavailable — but 0 are not documented either way.
[ Facts ]
- Category
- AI PR Review
- Open source
- No — proprietary
- 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 AD Azure DevOps
- Model control
- Fixed vendor models (managed AI services incl. OpenAI); no BYOK or model choice documented
- Last verified
- 2026-08-11
[ Against the 9 standards ]
Based on public documentation as of 2026-08-11. ✓ documented · ~ partial · ✗ not offered · ? undocumented. Undocumented scores zero — see the methodology.
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.
[ Baz vs the alternatives ]
[ Closest alternatives ]
[ FAQ ]
Is Baz open source?
No. Baz is proprietary — you can use it, but you cannot read or fork the review engine.
Can Baz be self-hosted?
Enterprise only. Private Mode (data-plane pod in your AWS EKS) on Pro and Enterprise; full VPC deployment is an Enterprise capability. Verified against the vendor's own documentation on 2026-08-11.
How much does Baz cost?
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. Seat price is only part of the bill: Baz handles models as fixed vendor models (managed ai services incl. openai); no byok or model choice documented, which is what usually decides the real monthly cost.
How does Baz score against the 9-pillar AI code review standard?
6.5 out of 9. It fully documents 4 standards, partially documents 5, does not offer 0, and leaves 0 undocumented. The score is coverage of documented capability, not a measure of review quality.
What are the alternatives to Baz?
The closest tools in this directory are Augment Code, CodeAnt AI, Entelligence AI, Kodus. Each is scored against the same 9 standards, so the matrices are directly comparable.
Evaluating Baz?
Run it through the two-week trial protocol before you commit a team to it.