Handit.ai

Handit.ai acts as an autonomous reliability engineer for your AI applications. It constantly monitors your production AI systems, catching failures like hallucinations, extraction errors, PII leaks, and performance issues in real-time. Instead of just alerting you to problems, it diagnoses the root cause, generates a tested fix, and prepares it for deployment—all automatically. Think of it as a dedicated team member who handles the 2am firefighting so you don't have to.

The tool works by integrating directly into your development workflow. It detects failures, analyzes them, and then writes production-ready code fixes, which include prompt improvements, configuration changes, and guardrails. Crucially, it tests each proposed fix against real failure cases before presenting it. It's GitHub-native, meaning it opens pull requests with these verified fixes for your team to review and merge, or can be set up for auto-deployment with guardrails. It's also open-source, providing transparency into how it operates and builds trust for what gets pushed to production.

Handit.ai is built for teams that are serious about shipping reliable AI. AI engineers and developers burdened with on-call duties for their models will find immediate value, as will DevOps and MLOps teams looking to automate stability. It's particularly useful for startups and companies running high-stakes AI agents where silent failures can have significant consequences. Real-world use cases include automatically correcting prompt drift that tanks model performance, fixing schema breaks in data extraction pipelines, and ensuring compliance by catching accidental PII leaks before they become incidents.