Codacy AI
AI code review, security scans, and governance guardrails for AI-assisted development
Codacy AI is a solid, pragmatic pick for Git-native teams that want AI coding assistance with enforced guardrails rather than a heavy compliance suite. The IDE-first approach and per-developer pricing beat SonarQube's complexity for most mid-size teams, but you'll outgrow it if you need on-prem deployment or advanced SAST features.
Verified 7d ago · liveness 25/100 · cite: rightaichoice.com/tools/codacy-ai
- Teams using AI coding assistants that need guardrails and policy enforcement
- Small to mid-sized DevOps teams automating code review on PRs
- Polyglot codebases needing consistent quality standards across up to 49 languages
- Organizations wanting low-configuration setup with predictable per-dev pricing
- Enterprise teams requiring on-premises deployment
- Organizations needing advanced SAST with CWE mapping
- Projects requiring compliance evidence (SOC 2, PCI-DSS)
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Skip Codacy AI if you need on-premises deployment, advanced SAST with CWE mapping, or compliance evidence like SOC 2 or PCI-DSS, as those aren't covered in the plans we reviewed.
The free tier only supports 38 languages, so polyglot teams will likely need to upgrade to Team for full 49-language coverage.
Codacy AI's pricing is predictable per developer, with a free tier for individuals and open-source projects, and Team starting at $18/dev/mth. This undercuts SonarQube's complexity and per-project pricing for most mid-size teams, making it a cost-effective choice for small to mid-sized DevOps teams on GitHub, GitLab, or Bitbucket. Enterprise features like AI Inventory and DAST require custom pricing, similar to peers, but the baseline is more accessible than heavy alternatives.
In short
Codacy AI — AI code review, security scans, and governance guardrails for AI-assisted development. Best for Teams using AI coding assistants that need guardrails and policy enforcement, Small to mid-sized DevOps teams automating code review on PRs, Polyglot codebases needing consistent quality standards across up to 49 languages. Free to start; paid plans from $18/mo.
What's new in Codacy AI
Checked 7 days agoAcross the latest 5 updates: 1 feature update and 4 news mentions.
AI Coding Assistant Dependency Version Selection Risks
Analyzes risks of AI coding assistants picking stale, bleeding-edge, or non-existent library versions, and how Codacy AI can mitigate these.
Engineering Manager's EU AI Act Compliance Checklist (2026)
Provides an updated EU AI Act compliance checklist for engineering managers, correcting common timeline misconceptions.
What Is an AgBOM? Inventorying the Autonomous Coding Agents in Your Pipeline
Introduces AgBOM concept for tracking AI agents in the pipeline, including tools invoked and credentials used.
Teams Built Quality And Security Infrastructure Around The Repository And That Is Now Breaking
Discusses why repository-centric quality and security infrastructure is failing in modern AI-assisted development.
Introducing Codacy Skills (Part 3): Let your agent set up test coverage
Part 3 of Codacy Skills series: enables agents to configure test coverage, one of four tracked repository metrics.
Viability Score
How well maintained and how widely used is Codacy AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- AI Guardrails IDE extension for VS Code, JetBrains, Cursor, and Windsurf
- Real-time local security scans (SAST, secrets, SCA) in the IDE
- Automated code quality analysis across 49 languages
- AI Reviewer for automated pull request review
- Agent Handoff for automated fix suggestions
- AI-generated unit tests for low-coverage files
- Merge gates and enforceable quality policies
- Coverage reporting and merge policies
- Malicious package detection
- AI Inventory for tracking AI tool usage
- AI Risk Hub for enterprise governance
- Codacy Skills for agent configuration of test coverage
- License scanning (Business tier)
- DAST (Business tier)
- Container image scanning (Business tier)
About Codacy AI
Codacy AI gives software teams the guardrails they need to adopt AI coding assistants without introducing new security or quality risks. It combines automated code review, static and software composition analysis, and governance policies that can be enforced both in the IDE and at pull request time. The platform targets DevOps and engineering teams that want AI-generated code to meet the same standards as human-written code, with support for up to 49 programming languages and integrations with GitHub, GitLab, and Bitbucket. The AI Guardrails IDE extension provides real-time feedback in VS Code, JetBrains, Cursor, and Windsurf, flagging issues like hardcoded secrets, insecure dependencies, and unapproved model calls as you type. This moves security checks upstream, catching problems before they reach the repository. The AI Reviewer automates PR review, while Agent Handoff suggests fixes automatically, reducing time spent on manual review. Codacy can also generate missing unit tests for files with low coverage. For organizations, Codacy offers governance features including AI Inventory, AI Risk Hub, and the new Codacy Skills that let agents configure test coverage. Enterprise users can add license scanning, DAST, container image scanning, and custom rules. The pricing model is predictable per developer, with a free tier for individual developers and free open-source project support. AWS Marketplace availability simplifies procurement for AWS-centric teams. Compared to heavier platforms like SonarQube, Codacy emphasizes low-configuration setup and speed to value, while extending beyond static analysis to address the unique risks of AI-assisted development. It fits teams that want to move fast with AI tools but keep auditability and policy enforcement without a complex compliance overlay.
Behind the Verdict
Codacy AI stands out by focusing specifically on the risks introduced by AI coding assistants, rather than being a general-purpose static analysis tool. Its AI Guardrails IDE extension gives you real-time feedback as you type, catching hardcoded secrets, insecure dependencies, and unapproved model calls before they even hit your repository. That's a genuinely useful capability for teams adopting tools like GitHub Copilot or Claude Code. The AI Reviewer automates pull request review, and Agent Handoff suggests fixes automatically, which can save your senior engineers a lot of time. Codacy also generates missing unit tests for low-coverage files, which is a nice way to enforce coverage standards without manual effort. The pricing is predictable per developer, with a generous free tier for individuals and open-source projects. However, the free tier only supports 38 languages, while the Team tier supports 49, so polyglot teams will likely need to upgrade. Advanced features like AI Inventory, AI Risk Hub, license scanning, DAST, and container image scanning are locked to the custom-priced Business tier, so you'll need to talk to sales if you want those. Also, there's no on-prem deployment option, which will rule it out for some enterprises. Overall, if you're a Git-native team on GitHub, GitLab, or Bitbucket that wants to move fast with AI tools but keep quality and security checks, Codacy AI is a strong, low-friction choice.
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Real-world workflow fit
Concrete scenarios for the personas Codacy AI actually fits — and what changes day-one when you adopt it.
Adopts Codacy AI to enforce security and code quality across a polyglot codebase (Python, JavaScript, Go) on GitHub.
Outcome: AI Guardrails catches secrets and insecure dependencies in the IDE, AI Reviewer flags issues on PRs, and merge gates ensure standards are met, reducing manual review time by 30%.
Wants to monitor and govern AI tool usage across the team, especially as developers adopt Copilot and Claude.
Outcome: Uses AI Inventory and AI Risk Hub to track unapproved model calls, and Codacy Skills to let agents configure test coverage, improving auditability without slowing down development.
Uses the free Developer tier to get real-time feedback while coding on personal projects and open-source repos.
Outcome: Installs the IDE plugin for VS Code, gets instant security and quality feedback, and uses Agent Handoff to auto-fix issues before committing.
Use Cases
- Enforce security and coding standards in real-time as developers write code in their IDE.
- Automate code review for every pull request, catching bugs, security issues, and duplications before merge.
- Monitor and manage AI model usage across your codebase with AI Inventory.
- Scan dependencies, container images, and source code for vulnerabilities and license compliance.
- Integrate code quality and security checks into CI/CD pipelines with GitHub, GitLab, or Bitbucket.
- Use Codacy Skills to let AI agents automatically configure test coverage for your repositories.
Models Under the Hood
as of 2026-08-31
Limitations
- The free Developer tier supports 38 programming languages, while the Team tier extends to 49.
- Advanced security features like AI Inventory, AI Risk Hub, license scanning, DAST, and container image scanning are only available on the custom-priced Business tier.
- There is no on-premises deployment option.
- The free tier is limited to the IDE plugin; cloud-hosted scans and PR integration require the Team tier or higher.
- The Team plan caps private repositories at 100, though LOC is unlimited.
as of 2026-08-30
Verification history
We have re-verified Codacy AI 16 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 16 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Codacy AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Developer
$0/dev/mth
Ideal for
Individual developers and open-source maintainers who want real-time AI guardrails and security scans while coding, without paying for cloud-hosted scans or team collaboration.
What this tier adds
Free forever tier with IDE plugin, real-time feedback, security and quality scans, Agent Handoff, and support for 38 languages, but no cloud-hosted scans or PR integration.
Team
$18/dev/mth (yearly) or $21/dev/mth (monthly)
Ideal for
Modern development teams of up to 30 devs who need cloud-hosted code quality and security scans, AI Reviewer, merge gates, and shared coding standards across 49 languages.
What this tier adds
Adds GitHub/Bitbucket/GitLab integration, cloud-hosted scans, AI Reviewer, merge gates, up to 100 private repos, unlimited LOC, coverage reports, malicious package detection, and Jira/Slack integration.
Business
Custom per dev/mth
Ideal for
Leading organizations with enterprise-level security and reporting requirements needing features like AI Inventory, AI Risk Hub, license scanning, DAST, and container image scanning.
What this tier adds
Adds unlimited private projects, priority scan queue, daily re-scans against new CVEs, AI Inventory, AI Risk Hub, license scanning, DAST, container image scanning, false positive detection, custom rules, SSO/SAML, audit logs, GitHub Enterprise with data residency, and dedicated
Where the pricing makes sense
The company stage and team size where Codacy AI's pricing actually pencils out — and where peers do it cheaper.
Codacy AI's pricing is predictable per developer, with a free tier for individuals and open-source projects, and Team starting at $18/dev/mth. This undercuts SonarQube's complexity and per-project pricing for most mid-size teams, making it a cost-effective choice for small to mid-sized DevOps teams on GitHub, GitLab, or Bitbucket. Enterprise features like AI Inventory and DAST require custom pricing, similar to peers, but the baseline is more accessible than heavy alternatives.
Setup time & first value
How long it actually takes to get something useful out of Codacy AI — broken out by persona, not the marketing-page minute.
For individual developers: installing the IDE plugin takes under 5 minutes. For teams: connecting GitHub/GitLab/Bitbucket and enabling PR checks takes about 15 minutes. Configuring governance policies and AI Risk Hub may take a few hours, but most value is realized within the first day.
Switching to or from Codacy AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From SonarQube: Connect your GitHub/GitLab repos to Codacy, import your project settings, and enable PR checks, leveraging Codacy's lower configuration overhead and per-dev pricing.
- →From Snyk: Use Codacy's SCA scanning to replace Snyk for dependency vulnerabilities, and adopt AI Guardrails for earlier feedback in the IDE.
- ↗To SonarQube: Export your Codacy findings via the API, then configure SonarQube quality gates manually, though expect higher setup complexity.
- ↗To CodeRabbit: If you only need PR review, you can disable Codacy's PR checks and keep the IDE plugin, but you'll lose governance features.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Codacy AI
Common stack mates teams adopt alongside Codacy AI, with the specific reason each pairing earns its keep.
Cycode
Secure and govern AI-generated code from prompt to runtime with agentic development security.
Checkmarx
Agentic application security platform governing AI-generated code from creation to runtime.
Wiz
Cloud-native security platform (CNAPP) that connects code, cloud, and runtime into a unified graph.
Alternatives to Codacy AI
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Frequently Asked Questions
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