Unattended AI coding hits combinatorial explosion of edge cases, slowing product development
alex_frantic · x · 2026-09-22
alexfrantic continues the "should we review AI code" thread: leave models unattended and they generate a combinatorial explosion of edge cases — even the smartest models can't defy math, as n! gets very large. The result is that product development slows down to a crawl.
Related event: Debate Rages Over Whether to Review AI-Generated Code(3 posts)→
More from coding & agent
- Dev Swaps Opus for Mimo-v2.6 in Cline on Client Projects: 'It's a Beast' — MicahBerkley · 2026-09-22
- Dev ships Chrome extension driving WebMCP tools with small model Jev, splitting agent workloads — _AustinCalvert_ · 2026-09-22
- Kev refactored onto Qwen3.5: open-source decision models now at 0.8B, 4B and 9B — alexcovo_eth · 2026-09-22
- Community 1000x-ing official docs: jevify prompt makes coding agents scout Jev use cases — alexcovo_eth · 2026-09-22
- Fireworks: routing 18 models per task hits 97.6% solve rate at $1.88 vs best single model's 74.1% at $6.52 — sophiamyang · 2026-09-22
- LlamaIndex adds calibrated confidence scores to LlamaParse Extract, field by field — llama_index · 2026-09-22