Show HN: Find where multi-agent AI systems break before production
A tool called Swarm Test helps developers identify failure points in multi-agent AI systems before they go into production, aiming to improve reliability and catch issues early in development.
Background
- **Swarm-test** is an open-source tool that lets developers simulate multi‑agent AI systems (teams of LLM‑powered agents working together) to find logic loops, budget overruns, or coordination failures before going to production.
- Multi‑agent architectures are a hot trend in AI engineering: instead of a single chatbot, multiple specialised agents collaborate (e.g. one researches, one writes, one fact‑checks). These systems are complex and can fail in unexpected ways.
- The project targets the gap between building a demo and deploying at scale — a phase where subtle bugs (like infinite chat loops or agents that run up huge API bills) often surface.
- **Show HN** is a section on Hacker News where founders and developers share their projects for community feedback; a post there signals early-stage, developer‑focused work.