Codacy

Codacy is a code quality and application security platform designed to help software engineering teams analyze, secure, and maintain their codebases. Founded in 2012 by Jaime Jorge and João Caxaria, Codacy has evolved from automated code-quality analysis into a broader platform covering static analysis, security scanning, dependency protection, test coverage, AI-assisted code review, and governance.

Codacy integrates directly into development workflows so teams can identify problems while code is being written, committed, or submitted for review. Its platform can analyze repositories, commits, pull requests, and merge requests, helping developers identify quality issues and security risks before problematic code reaches production. Codacy currently supports 49 languages and frameworks across its platform.

One of Codacy’s core capabilities is automated code-quality analysis. The platform checks code for issues such as error-prone patterns, excessive complexity, duplicated code, performance problems, and violations of coding standards. Teams can configure analysis tools and coding rules to match their own engineering standards.

Codacy provides more than 12,000 scan rules and allows teams to customize rules and configurations. This enables organizations to establish consistent coding standards across multiple repositories and projects rather than relying on individual developers to maintain separate configurations.

The platform also includes security scanning. Codacy supports Static Application Security Testing (SAST), secret and password detection, software composition analysis (SCA), dependency vulnerability scanning, malicious package detection, infrastructure-as-code scanning, license scanning, container image scanning, and DAST capabilities. These features allow development and security teams to identify vulnerabilities alongside conventional code-quality issues.

AI Reviewer is another major part of the current platform. It provides AI-assisted pull-request reviews that combine traditional deterministic analysis with contextual AI reasoning. Codacy says the reviewer can consider source code, pull-request metadata, Codacy findings, and Jira information when available. It can identify potential logic gaps, weak or missing tests, complex code, duplication, and security concerns.

Codacy also provides AI Guardrails for developers using AI coding tools. Its IDE extension can scan AI-generated code locally for security and quality issues and apply coding standards while developers work. The current platform supports integrations with VS Code, Cursor, and Windsurf and can work with MCP-ready AI systems such as GitHub Copilot and Claude.

The platform provides one-click fix suggestions for supported issues. Developers can receive recommendations for addressing detected problems rather than having to determine every remediation step manually. This can shorten the time between discovering an issue and fixing it.

Codacy also tracks test coverage. Teams can upload coverage reports and monitor coverage across files and pull requests. Coverage policies can be incorporated into merge gates so that insufficiently tested changes can be prevented from being merged when organizations choose to enforce those rules.

Pull-request merge gates allow teams to establish quality and security requirements that code must meet before it can be merged. Codacy can report analysis results directly inside supported Git-provider workflows, giving developers feedback where they already review code.

The platform supports real-time commit and pull-request scanning. Codacy’s cloud service monitors code changes through supported Git integrations and performs analysis on its own infrastructure, reducing the need for teams to maintain separate scanning infrastructure for every repository.

Codacy also provides security and risk management dashboards for organizations. Teams can centralize findings, prioritize vulnerabilities, track remediation deadlines, generate reports, and manage security information across repositories and projects.

For enterprise teams, Codacy includes capabilities such as SSO/SAML, audit logs, static IP allowlisting, access-control checks, GitHub Enterprise data residency, service-level agreements, and dedicated customer support. Business plans also add capabilities such as AI Inventory, AI Risk Hub, DAST, container-image scanning, custom rules, and priority scanning.

Codacy can integrate with GitHub, GitLab, and Bitbucket Cloud. These integrations allow analysis results, quality checks, and security information to appear within existing pull-request or merge-request workflows. Codacy currently does not support repositories hosted on on-premises Git deployments or Azure Repos.

The platform also integrates with Jira and Slack. Jira integration can create tickets from Codacy findings and import security-related Jira issues into Codacy’s security-management workflows. Slack can be used for critical security alerts.

Codacy provides an API for developers and organizations that need programmatic access. The current API v3 is the recommended version and can be used to retrieve analysis information, manage repositories and organizations, access issue details, manage people, and work with code-pattern information. Codacy also provides OpenAPI documentation and a cloud CLI that wraps API functionality.

Codacy is particularly relevant in environments where AI-assisted software development is increasing code-production speed. Its AI policies and Guardrails are designed to help organizations establish quality and security standards for code generated with coding agents and AI development tools.

The service offers a Developer plan that is free forever, intended for individual developers using its IDE plugin. The Team plan starts at $18 per developer per month when billed yearly, or $21 per developer per month when billed monthly. Team supports teams of up to 30 developers and adds cloud-based repository scanning, Git-provider integrations, AI Reviewer, merge gates, coverage controls, Jira and Slack integrations, and additional security features.

The Business plan is designed for larger organizations and advanced security and reporting requirements. Pricing is customized, with organizations instructed to contact Codacy for a quote. Business adds capabilities such as unlimited private projects, daily CVE rescans, AI Inventory, AI Risk Hub, DAST, container scanning, custom rules, SSO/SAML, audit logs, GitHub Enterprise data residency, and dedicated customer success.

Codacy also provides a 14-day free trial without requiring a credit card. Open-source projects can continue using Codacy for free after the trial under the applicable open-source offering.

Pricing

Codacy currently uses a per-developer subscription model with a free Developer plan and paid Team and Business tiers. The current pricing page lists Team at $18/developer/month when billed yearly or $21/developer/month when billed monthly. Business uses custom pricing.

Current Plans

Developer — Free

• $0 per developer/month
• Free forever
• IDE plugin
• AI coding guardrails
• Scan-as-you-type
• Security scans
• Code-quality scans
• Agent handoff for auto-fixing
• VS Code, JetBrains, and Cursor integrations
• 38 programming languages

Team — $18/developer/month annually or $21 monthly

• Up to 30 developers
• GitHub, Bitbucket, and GitLab integration
• Cloud-hosted code-quality and security scans
• Up to 100 private repositories
• Unlimited lines of code
• AI Reviewer
• Pull-request merge gates
• Shared coding standards
• Coverage reports and merge policies
• Malicious package detection
• Jira and Slack integration

Business — Custom pricing

• Unlimited private projects
• Priority scan queue
• Daily CVE rescans
• 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
• Dedicated customer success and premium support

Codacy also offers a 14-day free trial with no credit card required.

Pricing Model

Freemium / Subscription

Pricing Note

Codacy uses per-developer monthly pricing. The Developer plan is free forever, Team starts at $18/developer/month billed yearly or $21/developer/month billed monthly, and Business uses custom pricing. A 14-day full-featured trial is available without a credit card. Open-source projects can use the applicable free offering.

Review

Codacy is a strong option for development teams that want to combine code quality, application security, test coverage, and AI-assisted code review in one platform. Its ability to scan repositories and pull requests while integrating directly with GitHub, GitLab, and Bitbucket makes it practical for teams that want quality controls embedded in their existing development process.

One of its strongest advantages is the breadth of analysis. Codacy covers static analysis, duplication, complexity, secrets, dependencies, malicious packages, IaC, licenses, and other security concerns. This can reduce the need to maintain separate tools for every type of code-quality or application-security check.

The newer AI capabilities make Codacy particularly relevant to teams adopting AI coding assistants. AI Reviewer adds contextual feedback to pull requests, while AI Guardrails bring security and quality checks into IDEs and AI-assisted coding workflows.

The platform is also relatively accessible for individual developers because the Developer plan is free. Teams can then move to the Team plan when they need cloud repository scanning, shared standards, pull-request controls, and broader integrations.

The main limitation is that the most advanced governance and enterprise security capabilities are concentrated in the Business tier. Larger organizations also need to request custom pricing, making the total cost less transparent than the Team plan.

Another consideration is that Codacy is primarily a software engineering and DevSecOps platform, rather than a general-purpose AI development assistant. Its value is greatest for teams that need automated code-quality and security controls throughout the software-development lifecycle.

For engineering organizations looking to combine automated analysis, security scanning, test coverage, AI code review, and coding guardrails, Codacy provides a comprehensive and increasingly AI-aware development-quality platform.