About Digma AI
Digma Continuous Feedback (CF) enables developers to uncover code runtime regressions, anomalies and code smells, right from their IDE. Digma resolves performance issues earlier in the SDLC, preventing incidents in production and engineering disruptions. Digma’s MCP Server makes AI Coding smarter. Digma highlights the affected areas and impacted components for each code change and Pull Request, eliminating the risk of breaking changes and consequent loss of engineering time. Digma goes beyond traditional monitoring and alerting, focusing on preempting issues.
Key Features of Digma AI
- Dynamic Code Analysis
- Performance Issue Identification
- Scalability Insights
- Prevention of Breaking Changes
- AI Coding Assistance
Use Cases for Digma AI
- Resolve performance issues in pre-production.
- Prepare codebase for scale by identifying bottlenecks.
- Stop breaking the code by highlighting affected areas for each code change.
Frequently Asked Questions
Digma AI Website Traffic Analysis
Visit Over Time
Estimated Monthly Visits
Geography
Top 5 Regions
United States of America
India
Brazil
Russian Federation
UzbekistanTraffic Sources
Worldwide Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| digma | 240 | 0.26 |
| best mcps | 200 | |
| restclient vs resttemplate | 180 | |
| why indexing is faster in sql | 150 | |
| java profiler | 130 |
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