Developers spend over a third of their time fixing bad code and reducing technical debt. Detecting and fixing errors in production is not only more costly than doing so during development but also slows down innovation and has a negative impact on productivity, the development experience, and team morale. Having tools that help catch and fix coding mistakes earlier in the development process creates a better experience and increased productivity. We are pleased to announce that Codiga—which provides powerful static code analysis that works across the development lifecycle—is joining Datadog.
Codiga is a tool that helps developers write better code faster. Codiga’s static code analyzer checks your team’s code at every step of the development process. As developers write code, Codiga monitors it in real time and looks for errors. This enables developers to identify and address regressions before pushing bad code that they would then need to spend time fixing.
Teams can easily integrate Codiga into the development tools and workflows they already use. Codiga supports most popular languages and frameworks, including Python, JavaScript, and TypeScript. And it works in major IDEs—including VS Code, Visual Studio, and JetBrains—and supports major Git providers such as GitHub, GitLab, and Bitbucket.
Datadog’s acquisition of Codiga marks a new milestone in our journey to provide a comprehensive observability platform that caters to every aspect of the software development lifecycle. As we integrate Codiga’s powerful code intelligence features into the Datadog platform and expand Datadog’s observability features into code analysis, our users can look forward to an enhanced experience that helps them to develop and maintain high-quality software more efficiently than ever before.
Stay tuned for more updates on our progress as we work toward integrating Codiga’s features into the Datadog platform. We are incredibly excited about the possibilities that lie ahead and cannot wait to share them with you.
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