Why AI Judges Pick Bad Software: Lessons from Kill My SaaS
When swyx ran an automated Claude eval across 72 software submissions, the winner ranked 19th. Here is why AI judges miss product taste.
10+ hours of podcasts, in 5 minutes.
After being quoted $43,000 annually for speaker management software, the AI Engineer team launched the 'Kill My SaaS' competition challenging builders to recreate the software using autonomous coding agents. Across 72 submissions averaging 91,000 lines of code, the hosts discovered stark divergences between automated AI evaluations and human operational taste, documented distinct multi-agent orchestration architectures, and weighed the real-world trade-offs of owning custom software versus renting off-the-shelf SaaS.
When swyx ran an automated Claude eval across 72 software submissions, the winner ranked 19th. Here is why AI judges miss product taste.
Building custom internal software with AI agents costs $11,000, but owning code means trading bad vendor support for 2 a.m. bug fixes.
When SaaS vendors quoted $43,000, AI Engineer builders cloned 90k lines of code. Prompting came last after deep specs and trace testing.
swyx analyzed 66 codebases from the Kill My SaaS contest to reveal three multi-agent patterns uniting Claude Code and OpenAI Codex.
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