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Codiga
A real-time static analysis tool that helps developers write better code with automated reviews and smart snippets.
What it does
Provides real-time static code analysis for 12+ programming languages. Automates the code review process for GitHub, GitLab, and Bitbucket pull requests. Features 'Smart Code Snippets' allowing teams to share and reuse secure code blocks. Detects security vulnerabilities and ensures compliance with OWASP standards. Provides detailed 'Technical Debt' reports and code quality metrics for engineering managers.
Why it works
Proactive: Catches errors while the developer is typing, preventing bugs before they reach production. Efficiency: Reduces the time spent on manual code reviews by up to 50%. Security: Built-in security rules ensure that common vulnerabilities are automatically flagged. Collaboration: Its snippets library acts as a 'shared brain' for engineering teams.
Category: Utilities & System Tools
Team Size: 10
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As of 2026
Utilities & System Tools
Revenue: $1M-$5M ARR
A real-time static analysis tool that helps developers write better code with automated reviews and smart snippets.
Overview
Codiga (formerly CodeInspector) is an advanced coding assistant platform that provides real-time static code analysis and automated code reviews. It helps engineering teams identify security vulnerabilities, technical debt, and bugs directly within their IDE or CI/CD pipeline. In 2023, the platform was acquired by Datadog to integrate its 'Smart Code Snippets' and analysis engine into the Datadog observability suite.
Funding status: Acquired
Revenue source: Subscriptions
Customer type: B2B
Pricing: Freemium
Tech stack: React, Node.js, Python, AWS
Platform: IDE Plugins • Web • API
Integrations: GitHub, GitLab, VS Code, JetBrains, Slack, Datadog
Founder story
Founded in 2020 by Julien Delange in Denver, Colorado. Julien, a former senior engineer at Twitter and Amazon, realized that code reviews were a major bottleneck in the dev cycle. He built Codiga to automate the 'mundane' parts of code quality, eventually leading to a successful exit to Datadog.
What it does
- Provides real-time static code analysis for 12+ programming languages
- Automates the code review process for GitHub, GitLab, and Bitbucket pull requests
- Features 'Smart Code Snippets' allowing teams to share and reuse secure code blocks
- Detects security vulnerabilities and ensures compliance with OWASP standards
- Provides detailed 'Technical Debt' reports and code quality metrics for engineering managers.
Who it's for
- Software Engineers
- DevOps Teams
- Engineering Managers
- CTOs
Why it works
- Proactive: Catches errors while the developer is typing, preventing bugs before they reach production
- Efficiency: Reduces the time spent on manual code reviews by up to 50%
- Security: Built-in security rules ensure that common vulnerabilities are automatically flagged
- Collaboration: Its snippets library acts as a 'shared brain' for engineering teams.
Growth strategies
- Targeted the 'DevEx' (Developer Experience) movement, focusing on tools that make coding faster.
- Used a 'Platform- Agnostic' strategy, building plugins for VS Code, JetBrains, and Chrome.
- Successfully pivoted from 'CodeInspector' to 'Codiga' to focus on real- time assistance.
- Leveraged an acquisition by Datadog to reach their massive global enterprise user base.
Alternatives
Comparison overview
- SonarQube: More focused on post-commit enterprise audits; Codiga is the more agile choice for 'Real-time' assistance.
- Snyk: Primarily a security tool; Codiga is a broader 'Code Quality and Snippet' platform.
- Codiga (now part of Datadog) is the standard for high-velocity, secure engineering teams.