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Show HN: Mirrors – test AI agent changes by replaying real production traces

Mirrors is a new tool that lets developers test changes to AI agents by replaying real production traces, enabling safe validation before deployment.

Background

- RunMirrors is a developer tool that lets engineers test changes to LLM-powered applications (AI agents) by replaying actual production traffic traces, rather than writing synthetic test cases. - The problem it solves: AI-agent behavior is highly context-dependent; small changes can break edge cases that were never written into tests. Replaying real user interactions gives much higher confidence before deploying. - The "Show HN" tag means this was shared on Hacker News (news.ycombinator.com), a forum where developers and founders post side projects and startups for feedback — reaching the author directly. - Why it matters: As companies increasingly rely on LLM-based agents (customer support bots, code assistants, etc.), traditional testing patterns don't work well. Tools like this are an early attempt to bring production-grade safety practices to the rapidly growing AI-agent space.

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