Aviationstack is a scalable REST API for real-time flight tracking, historical flight data, airport info, and global aviation data.
from $49.99/mo
About Baz
What is Baz?
Baz is an engineering review platform that uses specialized AI agents to review specifications, code, security, production signals, and merge readiness. It provides a shared engineering context so every reviewer understands the same codebase, standards, and runtime behavior.
What problem does it solve?
Baz helps engineering teams catch bugs, security issues, and architectural regressions before they reach production. It reduces manual review time, ensures consistent standards, and speeds up merging. With AI code review, plan review, and security review, teams can verify changes early and avoid costly fixes later.
Who is it for?
Baz is designed for engineering teams that want to strengthen their code review process. It is ideal for teams using AI-generated code or those who need extra scrutiny on large PRs. It is not for individual developers who don't need team workflows or advanced security.
Real use cases
LSports reduced time-to-merge by 26%, PayEm cut bugs by 50% in two months, and SpotDraft reported more actionable reviews than incumbent tools. Teams use Baz to enforce conventions, review merge readiness, and connect production signals back to code changes.
Key features
- AI Code Review — Catch bugs, security issues, and style violations before they reach production, with clear explanations and suggested fixes.
- Plan Review — Validate implementation plans before code is written, uncovering risks and missing requirements early.
- Security Review — Detect vulnerabilities in code and dependencies, with whole-repository scans to catch issues beyond the diff.
- Merge Review — Ensure every change meets your team's policies and engineering standards before merging.
- Production Review — Connect logs, metrics, and incidents to code changes to identify root causes and propose fixes.
- Shared Engineering Context — Every reviewer understands your codebase, coding standards, and historical decisions for consistent reviews.
SaaSpartout Score
7.3
/10
Editorial score from our review methodology — not user ratings.
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Baz Pricing
Baz pricing: from $30/dev/mo.
For comparison: the median starting price in Developer Tools is $19/month, measured across 301 tools we track. See the full SaaS Pricing Index →
Pro Plan
$30 per active developer per month. Includes unlimited code review agents, custom reviewers, review automations, integrations, dashboards, and analytics. Engineering Work Credits (usage-based) power high-model agents like Fixer, Advanced Security, Spec Reviewer, and AI SRE.
Enterprise Plan
Contact sales for custom pricing. Includes everything in Pro, plus VPC deployment, SAML/OIDC SSO, centralized admin controls, custom terms, and dedicated support. Also available on AWS Marketplace.
Free trial: Not explicitly mentioned. Contact sales for a demo.
Frequently asked questions
How much does Baz cost?
Baz starts at $30 per active developer per month for the Pro plan. Enterprise pricing is custom. Additionally, usage-based Engineering Work Credits are billed at $0.01 per credit, with typical sessions costing between $1 and $4.30.
Does Baz offer a free trial?
Baz does not explicitly mention a free trial on its website. You can start now or contact sales for a demo.
What is Baz used for?
Baz is used for AI-powered code review, plan review, security review, merge readiness, and production incident analysis. It helps engineering teams catch bugs, security vulnerabilities, and architectural issues before they reach production.
Who is Baz best for?
Baz is best for engineering teams that produce a high volume of code changes, especially those using AI-generated code or who need to enforce strict review standards. It is trusted by teams at LSports, PayEm, BigPanda, and SpotDraft.
What are the top alternatives to Baz?
Top alternatives include GitHub Copilot code review, GitLab Code Quality, Snyk for security, and conventional code review tools like Reviewable or CodeClimate. Baz differentiates by offering multi-agent reviews with shared engineering context.
