Baz

Baz is an engineering review platform that uses AI agents to assist teams with reviewing implementation plans, pull requests, security findings, and merge decisions. It reads the entire codebase to detect bugs, architectural regressions, vulnerabilities, and policy violations across the development lifecycle. The platform integrates with GitHub and GitLab to provide consistent context-aware reviews from specification to production.

• AI Code Review to catch bugs, security issues, architectural regressions, and style violations before production
• Plan Review to review implementation plans before code is written, validate architecture, and uncover risks
• Security Review to detect vulnerabilities introduced through code, dependencies, and AI-generated implementations across whole repositories
• Merge Review to evaluate changes against team policies, release requirements, and engineering standards
• Production Review to connect logs, metrics, and incidents back to code changes to identify root causes
• Custom agents to enforce your own conventions and standards
• Review automations including auto-fix, auto-resolve, and auto-merge

Pros

• Provides a unified review workflow spanning specifications, code, security, and production deployments rather than just scanning pull requests
• Reads whole repositories and runtime signals for security reviews rather than limiting scans to individual diffs
• Shares consistent codebase context across all specialized AI reviewers in an engineering organization

Cons

• High-model agents require usage-based Engineering Work Credits billed separately on top of the base seat subscription
• Virtual private cloud deployment, SAML/OIDC SSO, and centralized admin controls are restricted to the Enterprise tier
• Credit usage varies by complexity, requiring teams to budget an estimated $20 to $50 per active developer monthly for high-model features

Baz fits engineering teams looking to integrate AI-driven reviews across the development lifecycle, from writing initial implementation plans to deployment and production monitoring. It suits organizations using GitHub or GitLab that want automated code, security, and merge reviews with shared engineering context. It is a poor fit for teams seeking a completely free tool without recurring seat costs or usage-based credits for advanced agents.

The platform uses seat-based pricing combined with usage-based Engineering Work Credits billed at $0.01 per credit. The Pro plan costs $30 per active developer per month and includes unlimited code review agents, custom reviewers, review automations, integrations, dashboards, and analytics. The Enterprise plan requires contacting sales for custom pricing and adds deployment in a virtual private cloud, SAML/OIDC SSO, centralized enterprise admin controls, and custom terms. Standard AI code review is included in the seat price, while high-model agents like Fixer sessions, Advanced Security, Spec Reviewer, and AI SRE consume Engineering Work Credits.

Unlike basic code linters or standard pull request checkers that only evaluate isolated code diffs, Baz reads the entire codebase, surrounding code, related repositories, and runtime signals to provide comprehensive reviews. It covers the entire development workflow starting from implementation specifications and continuing through code reviews up to post-deployment production signals. Specialized AI agents share a common understanding of codebase ownership, coding standards, and historical decisions to maintain consistency.

Baz is worth trying for engineering teams seeking a contextual, multi-stage AI review platform that covers plans, pull requests, security, and production monitoring. The 14-day free trial provides full platform access to evaluate the core code review agents and integrations. Teams must evaluate whether the variable usage-based costs of Engineering Work Credits fit their operational budget alongside the base per-developer fee. Organizations requiring strict virtual private cloud deployments, SSO, or custom administrative controls will need to contact sales for an Enterprise plan.