Open-source AI LLM evaluation and feedback system.
Provides context-sensitive refactoring recommendations that improve readability and reduce technical debt.
Analyses code diffs to flag high-risk changes that may introduce regressions or break existing functionality.
Open-source ML experiment tracking without code changes.
AI ML observability for monitoring model performance.
Traces data flows through code to identify injection points, insecure data handling and privacy violations.
AI event app content and agenda builder for attendee experience.
Recommends which tests to run based on code changes using AI impact analysis to reduce CI run times.
AWS open-source AutoML for tabular, image and text.
Open-source parallel computing library for big data ML.
No-code mobile app builder with AI component generation.