FlakeStorm: Chaos Engineering for AI Agent Testing
Analysis
Key Takeaways
- •FlakeStorm addresses a critical gap in AI agent testing by focusing on robustness under adversarial and edge case conditions.
- •It utilizes chaos engineering principles, treating agent testing like distributed systems testing.
- •The engine generates semantic mutations across various categories to test the agent's resilience.
“FlakeStorm takes a "golden prompt" (known good input) and generates semantic mutations across 8 categories: Paraphrase, Noise, Tone Shift, Prompt Injection.”