Digma AI is a developer-focused tool that connects runtime observability data to the code development workflow. It integrates with IDEs such as JetBrains and VS Code to surface insights about how code behaves in real environments — including performance bottlenecks, errors, slow queries, and scaling issues — without requiring developers to leave their editor. By analyzing traces, logs, and metrics from running applications, Digma provides continuous feedback on code quality as it is written and deployed. The platform is designed to reduce the time developers spend debugging and investigating production issues by surfacing actionable insights earlier in the development cycle. Digma supports OpenTelemetry-based instrumentation and can connect to existing observability pipelines. It targets engineering teams that want to close the feedback loop between code changes and their runtime impact, enabling faster iteration and more reliable software delivery.
Target audience and deployment
- Startup
- SMB
- Mid-market
- Enterprise
- Cloud
- Self-hosted
- Browser extension
Key features
Use cases
- Detect performance bottlenecks in runtime code
- Identify and triage production errors earlier
- Monitor code quality impact of new changes
- Reduce debugging time with contextual runtime insights
- Integrate OpenTelemetry data into the development workflow
Best for
- Backend developers who need to understand how their code performs in real environments
- Engineering teams who need to reduce time spent debugging production issues
- DevOps engineers who need to connect observability data to specific code changes
- Platform teams who need to enforce code quality and performance standards across services
Integrations
Developer
JetBrains, VS Code, OpenTelemetry, Jaeger, Zipkin