Sourcify
Effortlessly find and manage open-source dependencies for your projects.

Enterprise-grade static analysis and automated code review powered by the Rosie engine.

CodeInspector, which evolved into Codiga and was subsequently integrated into the Datadog ecosystem, represents the 2026 gold standard for real-time static analysis. Its core architecture is built upon the proprietary Rosie engine, allowing for high-performance scanning of source code across 20+ programming languages. Unlike traditional linters, CodeInspector provides a deep-dive analysis into technical debt, security vulnerabilities (OWASP Top 10), and code smells. In the 2026 landscape, it functions as an autonomous gatekeeper within the CI/CD pipeline, utilizing machine learning to reduce false positives that plague legacy SAST tools. Its market position is unique as it bridges the gap between individual developer productivity—via IDE extensions—and enterprise-level governance through its comprehensive dashboarding. The tool supports advanced Infrastructure as Code (IaC) scanning, ensuring that cloud configurations are secure before deployment. For organizations migrating to microservices, CodeInspector provides the necessary cross-repository consistency checks that ensure architectural integrity at scale.
CodeInspector, which evolved into Codiga and was subsequently integrated into the Datadog ecosystem, represents the 2026 gold standard for real-time static analysis.
Explore all tools that specialize in sast. This domain focus ensures CodeInspector (now Codiga/Datadog Static Analysis) delivers optimized results for this specific requirement.
Explore all tools that specialize in automate code reviews. This domain focus ensures CodeInspector (now Codiga/Datadog Static Analysis) delivers optimized results for this specific requirement.
Explore all tools that specialize in enforce coding standards. This domain focus ensures CodeInspector (now Codiga/Datadog Static Analysis) delivers optimized results for this specific requirement.
Explore all tools that specialize in detect code smells. This domain focus ensures CodeInspector (now Codiga/Datadog Static Analysis) delivers optimized results for this specific requirement.
A high-performance pattern-matching engine that allows users to write custom rules in Python-like syntax.
Automatically injects review comments directly into GitHub/GitLab Pull Requests.
A cloud-synced library of reusable, secure code blocks available within the IDE.
Analysis of Terraform, CloudFormation, and Kubernetes manifests for security misconfigurations.
A proprietary metric calculating the ratio of remediation time to total development time.
Identifies sections of code that, while not explicitly buggy, represent significant risk surfaces.
Maps how changes in one language (e.g., Python backend) affect another (e.g., TypeScript frontend).
Sign up via Datadog or Codiga legacy portal using OAuth (GitHub/GitLab/Bitbucket).
Install the 'CodeInspector' or 'Datadog' extension in VS Code, IntelliJ, or PyCharm.
Connect your primary Git organization to synchronize repositories.
Configure the 'codiga.yml' or 'static-analysis.rules' file in the root directory.
Define 'Cookbooks'—collections of rules tailored to your specific framework (e.g., React, Django).
Trigger the initial baseline scan to identify existing technical debt.
Set up pull request (PR) decoration to receive automated comments on code changes.
Integrate with Slack or Microsoft Teams for real-time notification of critical security leaks.
Configure the 'Smart Snippets' library to standardize common code patterns across the team.
Review the 'Technical Debt' dashboard to prioritize refactoring tasks for the next sprint.
All Set
Ready to go
Verified feedback from other users.
"Users praise the speed of the Rosie engine and the low false-positive rate compared to SonarQube, though some note the transition to Datadog changed the UI complexity."
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Effortlessly find and manage open-source dependencies for your projects.

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