Agentic Index
Baz vs CodeRabbit (2026)
Baz and CodeRabbit both put AI on code review, at different maturity points: CodeRabbit is the volume leader with published pricing (free tier covering public and private repos with rate limits, Lite at 12 dollars and Pro at 24 dollars per developer a month annual, billed per pull request author, full Pro free for open source), while Baz is the newer review platform available through the GitHub and AWS Marketplaces with a free trial and an on demand starter plan, but team and enterprise pricing not fully public. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
CodeRabbit is the safe default; evaluate Baz if its review approach fits your workflow and you can price it through a marketplace conversation.
On the Agentic Index coding agent ranking, Baz clears the bar and CodeRabbit does not. Baz documents all five merge loop capabilities in full; CodeRabbit documents two of the five in full. 2 of the 70 vendors in the lane clear it. See the coding agent ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Baz and CodeRabbit are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Baz if
- You want to evaluate a newer review platform against the incumbent on your own code.
- Buying through the GitHub or AWS Marketplace fits your procurement path.
- An on demand starter plan lets you test without a seat commitment.
Choose CodeRabbit if
- Published per developer pricing from 12 dollars a month makes the decision easy.
- Per pull request author billing maps cost to actual review activity.
- Free full featured coverage for open source repos matters to your projects.
| Feature | B Baz |
C CodeRabbit |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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BazIntegrations & Tool Calling Integrations cover GitHub, GitLab and Azure DevOps for source control; Jira, Linear, Monday, Shortcut, Azure DevOps Boards, YouTrack and Fibery for tickets; Figma for design; Notion and Google Docs for knowledge; Datadog and Sentry for the SRE agent; Slack for chat; and preview environments and a sandbox for running the app. Sourcebaz.ai/docs/basics/integrationsread 2026-09-29 |
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CodeRabbitIntegrations & Tool Calling Reviews run on GitHub, GitLab, Azure DevOps and Bitbucket, with linked issues from GitHub, GitLab, Jira and Linear, MCP servers for outside context and web search for library documentation, plus IDE and CLI reviews. Sourcedocs.coderabbit.ai/knowledge-base and self-hosted overviewread 2026-09-29 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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BazWorkflow Orchestration Multiple agents divide the work on a change: SDLC agents (Fixer, Merger, SRE, Skill Maintainer) run independently in sandboxed environments alongside a set of individually scoped review agents, Merger decides after CI passes whether a pull request is safe to merge, and Planner produces an implementation plan that goes through approval before code is written. Sourcebaz.ai/docs/agents/baz-agents and baz.ai/changelog 2026-07-01read 2026-09-29 |
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CodeRabbitWorkflow Orchestration Several agents divide the work. Besides the review agent, a research agent checks linked repositories, a Coding Agent turns review findings, plans, security findings or failing CI checks into tasks delivered as commits or stacked pull requests, and a Slack agent and Triage handle their own jobs, with work passing between the agents. Sourcedocs.coderabbit.ai/code, multi-repo-analysis and llms.txtread 2026-09-29 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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BazTriggers & Channel Coverage Reviews run automatically when pull requests open across GitHub, GitLab and Azure DevOps, Merger runs after CI passes, and Skills Maintainer can scan on a schedule every three days, weekly or every two weeks. Comment commands, the CLI and the MCP server add runs on demand. Sourcebaz.ai/changelog 2026-08-10 and docs/agents/baz-agentsread 2026-09-29 |
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CodeRabbitTriggers & Channel Coverage Reviews run automatically when a pull request opens and on later pushes, and the Coding Agent can start from a failing CI check or a security finding without a person starting it. Slack automations, comments, the IDE and the CLI let people request runs too. Sourcedocs.coderabbit.ai/code and pricingread 2026-09-29 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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BazKnowledge Grounding & RAG Reviewers ground on the organization's repositories, with API endpoints for file search, text grep and cross repository architecture search, and on product intent pulled from ticketing, Figma, Notion and Google Docs integrations, which the Requirements Validator checks code against. Sourcebaz.ai/docs/account/api-keys, docs/basics/integrations and docs/agents/baz-agents; baz.ai/docs/basics/integrationsread 2026-09-29 |
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CodeRabbitKnowledge Grounding & RAG Reviews draw on code guidelines detected from rules files, linked issues, MCP servers, web search and linked repositories. Multi repo analysis reads the linked repositories at each review, and there is no persistent index or code graph. Sourcedocs.coderabbit.ai/knowledge-base and multi-repo-analysisread 2026-09-29 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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BazMemory & State Persistence Reviewer Memory stores a memory in a reviewer's own memory bank when similar feedback is given more than once, updates that reviewer's prompt automatically and shows the memories on its Reviewer Card and drawer, with every prompt change versioned for rollback. No lifetime, expiry or way to purge these memories is stated, and rolling back a prompt version does not remove them. Sourcebaz.ai/changelog 2025-07-02read 2026-09-29 |
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CodeRabbitMemory & State Persistence Learnings are created by CodeRabbit from team chat during reviews and stored in its database, scoped to the organization or a repository, kept until deleted with never used learnings flagged for review, and browsable, editable and deletable in the dashboard or through the API. Sourcedocs.coderabbit.ai/knowledge-base/learningsread 2026-09-29 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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BazHuman Oversight & Guardrails Plans generated by Planner go through a dedicated approval workflow before implementation starts, and reviewers can now review plans together and track revisions, so a person approves before the agent's plan is built. Merger escalates changes it does not judge safe to merge. Sourcebaz.ai/changelog 2026-07-01 and 2026-09-24read 2026-09-29 |
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CodeRabbitHuman Oversight & Guardrails The Coding Agent's code mode produces a proposed patch that requires manual review before delivery, and its plan mode writes a versioned implementation plan for a person to approve before any code is written, after which the agent implements only what was authorized. Sourcedocs.coderabbit.ai/coderead 2026-09-29 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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BazSecurity, Identity & Governance Baz states that it is SOC 2 certified, Enterprise adds SSO, centralized controls and VPC deployment, and API keys are limited to a whitelist of endpoints under the creator's permissions. Sourcebaz.ai/docs/account/security-privacy-and-compliance, baz.ai/pricing and docs/account/api-keysread 2026-09-29 |
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CodeRabbitSecurity, Identity & Governance CodeRabbit is SOC 2 Type II certified, with annual independent audits, and GDPR compliant. Enterprise adds SSO, custom RBAC and audit logging alongside self hosting. The trust center at trust.coderabbit.ai is hosted on Vanta, and neither the SOC 2 report nor an ISO 27001 statement is publicly viewable there. Sourcecoderabbit.ai/faqread 2026-09-30 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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BazObservability & Auditability Session Logs let a team inspect how each run was triggered, where it executed, its status, the major stages it completed, its outcome and its cost, and the API records MCP session events. Sourcebaz.ai/changelog 2026-06-01 and docs/account/api-keysread 2026-09-29 |
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CodeRabbitObservability & Auditability Enterprise audit logs record administrative changes to organizations, repositories, seats, configuration, roles, API keys and knowledge bases and export to a SIEM through the API, and a metrics API and reports cover review activity. No record of the agent's own tool calls and reasoning for each run is described. Sourcedocs.coderabbit.ai/management/audit-logs and apiread 2026-09-29 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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BazDeployment & Data Residency Private Mode, on Pro and Enterprise, keeps source code stored only in the customer's own VPC through a file system service pod on AWS EKS, with analysis on Baz infrastructure reading it transiently. Enterprise lists VPC deployment and self hosted deployment under an Enterprise contract, and private application review can run the sandbox inside the customer's Kubernetes as a limited preview. Sourcebaz.ai/docs/account/private-mode, baz.ai/pricing and baz.ai/changelog 2026-07-29read 2026-09-29 |
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CodeRabbitDeployment & Data Residency Self hosted CodeRabbit, on Enterprise with 500 or more seats, runs inside the customer's own infrastructure on GitHub Enterprise Server, GitLab self managed, Azure DevOps and Bitbucket Data Center, keeping code, pull request data and review traffic inside a boundary the customer controls, for data residency and air gapped needs. Sourcedocs.coderabbit.ai/self-hosted/overviewread 2026-09-29 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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BazPrebuilt Agents, Templates & Packs Baz ships named built in agents, with Fixer, Merger, SRE and Skill Maintainer as SDLC agents and review agents including Requirements Validator, Guidelines Enforcer, Logic Checker, Breaking Changes Detector, Type Validator, security reviewers and an API Design Reviewer, each with its own job, and customized agents can be built on top. Sourcebaz.ai/docs/agents/baz-agentsread 2026-09-29 |
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CodeRabbitPrebuilt Agents, Templates & Packs Built in Finishing Touches, namely autofix, fixing CI failures, resolving merge conflicts and generating unit tests, and built in pre merge checks run as follow up actions of the review agent. Customers can write custom recipes and custom checks, but there is no library of prebuilt agents. Sourcedocs.coderabbit.ai llms.txt (finishing touches, pre-merge checks)read 2026-09-29 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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BazModel Flexibility & Routing Baz's agentic reviewers run on OpenAI's GPT-5-Codex with Anthropic Sonnet 4.5 reflections, and Baz chooses the models, with no customer model selection, bring your own key or local model option offered. Sourcebaz.ai/changelog 2025-10-16read 2026-09-29 |
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CodeRabbitModel Flexibility & Routing Self hosted CodeRabbit connects to the customer's own LLM provider or account under the customer's own keys, while the cloud service routes across providers itself. Sourcedocs.coderabbit.ai/self-hosted/overviewread 2026-09-29 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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BazAPIs, SDKs & MCP Extensibility API keys call the Baz REST API (v2, under /api/v2/ with an x-api-key header) and the Baz MCP server for scripts, CI and unattended agents, with twelve endpoints covering reviewer configuration, review discussions, repository search, plan creation and versioning, plan comments and linking pull requests to plans. Sourcebaz.ai/docs/account/api-keysread 2026-09-29 |
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CodeRabbitAPIs, SDKs & MCP Extensibility The CodeRabbit API at api.coderabbit.ai, authenticated with an x-coderabbitai-api-key header and organization, workspace or self hosted scoped keys, covers review data, AI Deep Scan findings, organizations and repositories, metrics, learnings, users and roles, and audit log export. It is an Enterprise plan feature with public documentation. Sourcedocs.coderabbit.ai/apiread 2026-09-29 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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BazTesting, Debugging & Optimization Prompt Playground lets a team test a review agent's behavior on real change requests before rollout and tune its tone, scope and strictness without pushing untested agents to production, and Evaluations report reviewer performance with usage metrics and comment tracking. Sourcebaz.ai/changelog 2025-05-22 and 2025-07-29read 2026-09-29 |
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CodeRabbitTesting, Debugging & Optimization Finishing Touches can generate unit tests and fix CI failures in the customer's code, and metrics report review activity. There is no harness to evaluate or regression test the review agent's own behavior. Sourcedocs.coderabbit.ai llms.txt (finishing touches, reports)read 2026-09-29 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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BazBrowser & Computer Use Spec Reviewer clones the repository, restores dependencies, runs the setup and start commands, waits for the application to become healthy and opens it in a browser to check the built experience against the specification. Sourcebaz.ai/changelog 2026-07-29read 2026-09-29 |
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CodeRabbitBrowser & Computer Use Agents work through Git platform APIs, the IDE, the CLI and a cloud environment for coding tasks. Browser control and operation of software through a graphical interface are not described. Sourcedocs.coderabbit.airead 2026-09-29 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | B Baz |
C CodeRabbit |
|---|---|---|
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Entry price Lowest public entry point |
Pro from $30 per active developer per month, plus Engineering Work Credits at $0.01 each for advanced agents. Enterprise is priced on contact. | From $24 per developer per month billed annually, on Essentials. Every plan has a 14 day free trial. |
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Pricing confidence How public the numbers are |
Public, partial | Public, exact |
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Billing Primary billing axis |
Per active developer per month for access and standard review, plus Engineering Work Credits at $0.01 each for advanced agent sessions. | Per developer seats, plus metered usage for reviews beyond the hourly limits and for Coding Agent minutes. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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No free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Self-serve |
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