Codacy - Security and Code Quality for AI-Accelerated Coding

AI Risk Hub & AI Reviewer —>
Codacy enforces security and quality standards across the entire CI/CD. Build secure, compliant and maintainable software, from IDE to Runtime.
IDE & AI Agent
Codacy integrates with your favorite IDEs and AI assistants to provide real-time security and quality feedback.
Git Repo
Codacy automatically analyzes your repositories, ensuring all code meets your organization's standards.
Production
Codacy continues to protect your applications in production with dynamic testing and monitoring.
Leading the industry, circa 2012


Helping industry leaders build a future they can trust

Saved 2h / Day in Engineering Time

Achieved PCI DSS Compliance

Cut Tech Support Time by 60%

2.8x Higher
Unit Test Coverage
End-to-end AppSec & Code Health made easy
Codacy combines comprehensive security and quality analysis with AI guardrails to protect your applications at every stage.
Third-party libraries
Detect insecure, outdated third-party dependencies in real time, with daily vulnerability DB updates.
Source code security
Catch vulnerabilities, secrets and common security pitfalls before committing, across 40+ languages.
Runtime security
Scan apps for vulnerabilities and security issues that only emerge when your application is running.
IaC config scans
Fix misconfigurations and security risks in your infrastructure code before deployment.
Compliant code at inception
Scan and auto-fix every line of AI and human-written code violating your security and quality rules.
Instant reports via prompt
Query the Codacy Platform for any security and quality metric across teams and repos, from your IDE.
Comprehensive unit tests
Track and improve test coverage, one PR at a time. Let your AI write tests for uncovered lines.
Redundancy checks
Find cloned and unused blocks of code and prompt your AI to refactor them – without leaving your IDE.
Scalable, maintainable code
Reduce complexity and enforce formatting requirements across all AI and human-written code.
Guardrails is not yet another AI model for code reviews. Instead, it pairs trusted static analysis methods with the power of your existing AI coding assistant, delivering unmatched speed and convenience – without leaving a trail of destruction.
Now AI-accelerated engineering teams can ship on time, without the lingering fear of deploying a ticking time bomb.
Install Codacy IDE Extension
Guardrails runs inside VS Code, Cursor, and Windsurf, seamlessly embedded in your existing AI coding workflow.
Write code with your AI agent
Every line of AI-generated code is silently scanned for security and quality flaws, and auto-fixed – all before even printed.
Tweak the rules to your vibe
Set the default scan rules to match the standards of your codebase – and apply them across all IDEs in your team.
Guardrails is more than scanning AI code in real time. Using MCP technology, we created a brand new way of interacting with all scan results in the Codacy cloud platform, and letting your AI assistant fix them in bulk – without ever leaving the chat panel.
Daan van Leth
AI Solutions Consultant at ihomer

Ready to give Guardrails a spin?
Codacy is easy to integrate and its new security dashboard provides useful insights into metrics across the company. The support team is really helpful and provides immediate assistance.

David M.
DevOps Specialist
“A Game-Changer for Code Quality and Team Productivity”
My team's overall code quality has improved significantly by using codacy. We have extensively used it to fix syntaxes, detect and remove hardcodings, and improve any redundancy in the code.
In addition to code quality, its integration with pull requests and project management tools such as Jira has helped me to manage code reviews and quality efficiently.

Sarang K.
Technical Project Manager
"Great Tool for Detecting Code Issues, Code Coverage, Code Duplication and Complexity"
From the point of view of a company that processes card transactions and is subject to Compliance/Certifications with card scheme standards, automated code review and detection of security problems is the most useful thing. Codacy helps developers save time in code reviews, so developers can focus on other things. Codacy centralizes customizable code patterns and enforces them within engineering teams so that everyone's code goes through static analysis and is evaluated before being put into production. Easy integration with GitLab. Customer Support is of high quality, responds quickly to inquiries, always helps us as much as possible.

Sr. Card System Architect
“Great Tool to Ensure Your Quality Standards”
The high number of programming languages that are supported by Codacy helped a lot in our situation, once we had different tech stacks. It was also very easy to integrate with our CI/CD flows, and we are seeing a really cool product roadmap.

Vinicius P.
Senior Manager, Solutions
“Company That Understands Developers”
I like how Codacy works to build strong partnerships with its customers. I like the focus on developers and the developer experience. I like that Codacy gives me a hassle-free single pane of glass view into code quality across my organization.

Verified User
Education Management
"Pushing Our Quality Higher as They Continually Improve Their Platform and Customer Success"
The Codacy team follows up and ensures that we are getting the most out of the platform. My team members consider it crucial to the success of our projects. It is quite easy to integrate and does its job without human interaction

Michael G.
Principal Engineer
"Helps Maintain High Standards for Our Code"
Codacy's integration with our CICD and with third party technologies like Slack provides us with real time notifications on our code either as pull request commands or as Slack comments , ensuring that we avoid critical code vulnerabilities, that potentially affects our developed software.
Codacy makes configuration of code analysis rules, to be saved as configuration files. The major benefit of this, is that we are able to tweak our code analysis rules to future needs, by simply editing the saved configuration file documentation as against configuring the entire Codacy setup from scratch everytime we need it for a new project.

Chiesa B.
Back End Engineer
"A Great Tool to Add to Open Source CI Toolkit"
I'm an open source project maintainer. Given that I'm already donating thousands of hours of my time on my project, I absolutely love products which offer their tools free to Open Source projects. There are a variety of CI tools available, and no one tool checks every box, but Codacy is one that is really helpful to include. The most helpful feature for me is pull request integration; it notices issues and prompts authors to fix them before I even get a chance to review! It also has the most useful "duplicate detection" algorithms of any of the CI tools I've used, enabling me to refactor and simplify code.

Daniel W.
Sr. Software Engineer
"Excellent Code Coverage Tool with Great GitHub Integration"
We have been using Codacy for the past few years for the https://github.com/apereo/cas project with much success. The Github integration is very easy, and there are excellent instructions on how to set up the pipeline with Github Actions. Codacy has fantastic support for coverage tools specifically for Java projects, such as Jacoco. The results are accurately explained and shown on the Codacy dashboard, and there are a lot of configuration settings that would allow one to customize the coverage data and analysis to assist with better code quality. The UI is intuitive, and Codacy comes with a lot of customizable built-in patterns, recommendations and security checks that help spot issues and fix issues. We also take advantage of metrics on duplication and complexity to identify areas that need attention for all developers and contributors to the project as PRs get submitted and merged. Codacy is also free for Open Source projects, which is something we very much appreciate.

Misagh M.
Software Engineer
"Fantastic Way to Review Your Codebase"
Codacy is fantastic! I absolutely love the UI/UX. The great amount of customizations around rules for code review. Great language support. Love the GitHub integrations with statuses. Still fairly new to the test coverage review feature.

"A Great Tool to Review Your Code"
I use Codacy in my open source projects, and helps me a lot reviewing all the Pull Requests. I can see if there are some issues that could lead to errors, or some duplicated code that needs to be refactored. The integration with GitHub is one of my favorite feature, since the Pull Request errors can be seen directly on the line of code. From their website you can also ignore some files or directories that doesn't need checks, like tests or demo projects, or anything that is not production and can have issues.

Matteo B.
Software Engineer
"Boost Your Team Code Static Analysis, Quality and More"
- Easy integration as part of your development flow, including this tool on the PRs check and aligning everyone on the team to the defined code quality standards.
- Simple sharing of existing static code configuration between the project and the platform allows you to keep only one source of truth.
- Dashboard and monitoring make it easy to visualize and track the tech debt and all quality standards from one place.
- Reduce the time on the code reviews, important for large teams and not only. Allowing engineers to focus completely on the logic, edge cases, architecture decisions rather than code style, code duplication, issues, etc...
- Self-hosted solution, is especially important for large companies where the source code needs to complain about internal security standards.
- BONUS: Company principles, by supporting open-source projects and startups. Definitely, something that large companies should take note of.

Madalin V.
Senior Software Engineer
"Easy to Integrate, Hard to Give Up!"
- Easy Integration
- Clean Interface
- Coverage Support
- GitHub integration
- Fast feedback

Mustafa O.
Mobile Development Lead
"Exceptional C++ Code Analysis with Great GitHub Integration"
- Deep C++ static code analysis
- Native integration into the GitHub development cycle
- Quality of results, including a detailed description of the detected issues
