×

What does it do?

  • Code Quality Monitoring
  • Code Review Automation
  • Application Security Testing
  • Software Composition Analysis
  • Test Coverage Enforcement

How is it used?

  • Connect your repo
  • get automated code reviews and AI fixes.
  • 1. Connect repos
  • 2. Analyze code
  • 3. Get feedback
See more

Who is it good for?

  • Software Developers
  • DevOps Engineers
  • Engineering Managers
  • Quality Assurance Professionals
  • Security Analysts

Details & Features

  • Made By

    Codacy
  • Released On

    2012-08-27

Codacy is a comprehensive code quality and security platform for developers. It automates code reviews, identifies issues, and suggests improvements to ensure clean, secure, and efficient code across development teams.

Key features:
- Code Quality Monitoring: Enforces coding standards on every pull request, maintaining consistency across the codebase.
- Automated Code Reviews: Performs automated reviews to identify issues and suggest improvements.
- Application Security Testing: Conducts static analysis to find vulnerabilities in the code.
- Software Composition Analysis: Analyzes dependencies to identify known vulnerabilities.
- Secrets Detection: Identifies hardcoded secrets within the codebase.
- Infrastructure as Code Scanning: Examines IaC configurations for security issues.
- Test Coverage Expansion: Helps teams increase and enforce test coverage to prevent breaking changes.
- Performance Insights: Provides data-driven insights to improve engineering team performance.
- AI-Powered Fixes: Suggests fixes for identified issues using artificial intelligence.

How it works:
1. Users connect their repositories to Codacy.
2. Codacy analyzes the codebase for quality, security, and test coverage.
3. The platform provides detailed feedback and AI-suggested fixes.
4. Developers can integrate Codacy with CI/CD pipelines for continuous monitoring.

Integrations:
- Version Control Systems: GitHub, GitLab, Bitbucket
- CI/CD Tools: Jenkins, CircleCI, Travis CI
- Project Management Tools: Jira, Trello
- Compatible with over 40 ecosystems

Use of AI:
Codacy uses AI to suggest fixes for identified issues, which developers can apply directly within their Git workflows.

Target users:
- Software Development Teams
- DevOps Teams
- Engineering Managers

How to access:
Codacy is available as a web application that integrates with various development tools and platforms.

  • Supported ecosystems
    GitHub, GitLab, Bitbucket, GitHub, GitLab, Bitbucket, Jenkins, CircleCI, Travis CI, Jira, Trello
  • What does it do?
    Code Quality Monitoring, Code Review Automation, Application Security Testing, Software Composition Analysis, Test Coverage Enforcement
  • Who is it good for?
    Software Developers, DevOps Engineers, Engineering Managers, Quality Assurance Professionals, Security Analysts

Alternatives

CodeQL is a semantic code analysis engine that helps developers find and fix vulnerabilities in their codebase.
Augment is an AI-powered coding assistant that enhances software development efficiency and quality.
GitHub Copilot generates code suggestions in real-time to enhance developer productivity.
StarCoder is a Large Language Model for Code (Code LLM) that has been developed using permissively licensed data from GitHub, with a model trained on 1 trillion tokens and fine-tuned for 35 billion Python tokens, and it performs better than existing open Code LLMs on popular programming benchmarks.
Amazon Q Developer is an AI-powered coding assistant that enhances software development and infrastructure management for AWS developers.
Gemini Code Assist is an AI coding assistant that boosts developer productivity with code completions and generation.
PolyCoder generates code snippets and assists with code understanding across 12 programming languages.
CodeT5 and CodeT5+ are open-source language models that automate coding tasks for developers.
Bloop converts legacy COBOL code into modern, readable Java code with identical behavior using AI.
Cody is an AI coding assistant that enhances developer productivity by providing advanced code search, understanding, and generation capabilities.