Mirrors (YC F26) @mirrorsdotdev
stop playing whack-a-mole with your AI agent. fix your agent for one customer without breaking it for another https://t.co/NPiFjqUCuz 🪞 mirrors.dev San Francisco Joined July 2026-
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mirrors.dev exists precisely for this
ngl evals are getting less useful with every model release the better models get at noticing they’re being tested, the less a passing eval tells you about prod the only environment a model can’t tell apart from prod is prod. reliability work is shifting from “test before you
ngl evals are getting less useful with every model release the better models get at noticing they’re being tested, the less a passing eval tells you about prod the only environment a model can’t tell apart from prod is prod. reliability work is shifting from “test before you ship” to “fix it while it runs”
"We'll build realistic evals to determine how the model will handle situations in the real world" The model during evals:
cheffing up something new @runmirrors at the yc office thinking of calling it dynamic context editing
🪞🪞🪞
i just spent the summer sleeping in the tenderloin. now sleeping in dogpatch. thank you @ycombinator and @amiklas for the upgrade. proof attached ↓
Off Season II at @fdotinc last Friday: ~100 teams, six weeks of building. Our founder @SidraMiconi spent Friday night filming what people built during six weeks at @fdotinc. 10 demos from a room of ~100 teams. The full cuts are coming! @ai_singhal → @runmirrors @pedro_nagamine + @bellujrb → @usebido @autobrik + @alvax64 → @robonet_ @HeapSmasher → @reachpad @hasnainbaig06 + @Jahenderson05 → @mirdainsystems @001TMF + @MukherjeeArvaan → Proteus-Bio
your AI agent will do something expensive eventually so we built a staging environment for AI agents here's 90 seconds on it ↓
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