PR Review
Qodo
AI pull-request review platform with multi-agent review, rules mined from PR history, and remediation agents across four Git providers.
Deployment
Cloud · Self-Hosted · Air-Gapped
Languages
6+
Pricing model
Usage-based credits
Free tier
No
Workflow coverage
Where in the development lifecycle Qodo operates.
IDE plugin for VS Code, JetBrains, Visual Studio reviews uncommitted and committed changes
Context Engine MCP plus agent skills qodo-get-rules and qodo-pr-resolver let coding agents check code against rules.
Pre-PR review of uncommitted changes runs in the IDE plugin; no standalone CLI documented
Automatic review on PR opened/reopened/ready, or on every push; inline findings plus summary
Compliance labels such as 'Failed compliance check' must be wired into CI actions to block merges
Context Engine indexes whole codebase and cross-repo relationships; findings surfaced are PR-scoped
Rule Miner re-runs every two weeks and PR history is re-analyzed; no scheduled code rescan
Not offered in vendor documentation reviewed as of 2026-09-05.
Analysis & detection
Every detection and code-analysis capability tracked for Qodo.
Compliance checks flag SQL injection, XSS, CSRF and insecure data handling in PR diffs.
Not a finding category; docs site search for 'taint'/'dataflow' returns zero results
Security compliance check flags exposure of API keys, passwords, secrets in PR changes
Bug and anti-pattern findings, Rules Agent for org standards, Duplicated Logic Agent
Findings categorized by quality dimension (10 types); no complexity/cyclomatic metric among them
Duplicated Logic Agent plus RAG duplication compliance against the existing codebase
Not among the 10 documented finding categories or core-capabilities descriptions
Findings page tracks bugs/rules/gaps by category; no coverage ingestion or reporting documented
No coverage metric of any kind documented on findings or governance pages
Cross-repo dependency impact tracing and architecture diagrams in walkthrough; no dependency-rule enforcement
No time/cost remediation quantification; findings are tracked by count and severity only
30-day findings and rule analytics plus suggestion-impact ROI dashboard; no team or delivery metrics
Critical Issue Agent detects bugs, logic errors and edge-case failures
AI PR summary plus walkthrough with description, architecture diagram, high-level assessment
Natural-language Review Standards, best_practices.md, pr_compliance_checklist.yaml, REVIEW.md
Committable suggestions when inline, single file and five lines or fewer
Remediation Agent fixes findings above a severity threshold and opens a separate fix PR
Finding Recommendation Agent scores finding relevance from PR history; in beta on paid plans.
Path-pattern rule scopes, folder-level rule scoping, folder allow-listing in ignore rules
AI capabilities
Multi-agent LLM review engine is the core product; agents per quality dimension
On-prem installs connect to customer OpenAI, Anthropic, Vertex AI or AWS Bedrock endpoints
Context Engine MCP exposes deep_research, context_ask, get_context; local and remote MCPs in IDE
No AI-generated-code inventory; Agentic Tools Allow List restricts which agent tooling developers may use.
Mention @qodo in PR, review or inline comments to explain, dismiss or discuss findings
Rule Miner mines accepted review comments; Auto best practices learns from accepted suggestions
Context Engine MCP: no training on customer code, session-only retrieval, per-tenant isolation
Models used
Compliance & governance
'Previous review results' keeps per-commit review history; no admin or access audit log documented
SSO via WorkOS with SAML and OIDC providers including Okta, Entra ID, PingFederate, Keycloak
Organization admin and Team owner roles plus admin-versus-member rule approval; no granular RBAC model
Rule and skill analytics exportable as CSV; compliance tool results per PR only
Certifications
Standards mapping
Integrations
CI/CD systems
IDEs
Issue trackers
Pricing & plans
$30/month for 2,500 credits (~18 reviews/mo) at $.012/credit, pooled across the team (no annual discount published; monthly billing only)
Minimum seats: none
Trial: 14 days, no credit card required, full product access with unlimited usage
- Full product access
- Unlimited usage
- Same credit system as paid plans
- Usage stops when the trial ends without paid billing set up
- Automated PR review
- PR summaries
- /ask question answering
- Automated review suggestions
- Rules and PR History require a paid plan
- Public GitHub repo with 100+ stars, actively maintained, policy-compliant
- Full product access
- Shared workspace credit pool
- Unlimited users per workspace
- Month-to-month, switch packs anytime
- No rate limits
- No annual self-serve billing
- Overage billed at the same per-credit rate
- One workspace per account
- Single-tenant, on-prem and SSO are Enterprise-only
- Single-tenant or on-premises deployment
- SSO configuration
- Organization admin and Team owner roles
- Agentic Tools Allow List
- Repository Workflows in .qodo/workflows/
- Quote-only pricing
- Requires demo booking
Who it's for
Enterprise plan positioned for teams of 30+ users
Notable strengths
- Multi-agent review decomposed by dimension: bugs, breaking changes, ticket compliance, duplicated logic, rules, spec and Figma design compliance
- Rules auto-imported from AGENTS.md, CLAUDE.md, GEMINI.md, copilot-instructions.md, .cursor/rules and SKILL.md, scoped to the containing folder
- Rule Miner and Relevance learn from up to ~1,000 merged PRs to filter and prioritize findings
- Cross-repository conflict detection traces breaking changes into related repos with direct links
- Three remediation paths: committable suggestions, fix-with-chat, and an autonomous Remediation Agent that opens a fix PR
- Multi-tenant, single-tenant VPC and air-gapped on-prem deployment on all four major Git providers
Notable limitations
- No dependency (SCA), IaC, container, cloud-posture or DAST scanning; security coverage is LLM checks on the diff only
- PR-history indexing that powers Relevance and Rule Miner is Beta on GitHub and GitLab, and 'coming soon' for Bitbucket and Azure DevOps
- Merge blocking is not native: it depends on wiring compliance labels into CI/CD actions
- No third-party security certifications (SOC 2, ISO 27001) are claimed anywhere in Qodo's documentation
- Credit-based billing makes cost per review hard to predict; no annual self-serve billing and one workspace per account
- Several documented tools (/test, /analyze, Auto Impact Validator, /review) belong to Qodo 1.x / Qodo Merge, which is scheduled for deprecation
Similar tools
Other PR Review tools in the directory.
FAQ
When should you choose Qodo?
Qodo best fits Startups, Mid-market teams, Enterprise, Regulated industries, Enterprise plan positioned for teams of 30+ users. Multi-agent review decomposed by dimension: bugs, breaking changes, ticket compliance, duplicated logic, rules, spec and Figma design compliance
What languages does Qodo support?
Qodo supports 6+ languages and frameworks, including Python, Java, C++, JavaScript, TypeScript, C#.
What does Qodo integrate with?
Qodo integrates with GitHub, GitHub Enterprise Server, GitLab, GitLab Self-Managed, Bitbucket, Bitbucket Data Center, Azure DevOps for source control, CI systems including GitHub Actions, and IDEs including Visual Studio Code, JetBrains IDEs, Visual Studio Professional (Windows only, reduced feature set), Cursor (via Context Engine MCP), Windsurf (via Context Engine MCP), and 2 more.
What tools are similar to Qodo?
Similar PR Review tools tracked here include CodeAnt AI, CodeRabbit, Cursor (Bugbot), Greptile.
What are Qodo's plans and pricing?
Qodo has paid plans available by contacting the vendor; enterprise pricing is quote-only.
Opens www.qodo.ai in a new tab. Review Radar is not affiliated with Qodo (formerly Codium).