Show HN: SurvivalIndex – which developer tools do AI agents choose? (survivalindex.org)
We've been running coding agents against standardized repos
with natural-language prompts — no tool names, no hints —
and measuring what they actually choose.
Early finding: Claude Code picks Custom/DIY in 12 of 20 categories. Not because it can't use the tools (BFCL scores suggest it can) but because it doesn't reach for them. That's a different failure mode than capability benchmarks measure.
We score each tool on: agent visibility, pick rate vs Custom/DIY, cross-context breadth, expert human ratings, and implementation success rate. Tools above survival=1 persist. Below it, agents synthesize around them.
Methodology is at survivalindex.org/methodology. Very curious what people think of the measurement approach, especially the human coefficient variable.
4 comments
[ 3.0 ms ] story [ 25.6 ms ] thread611 points | 8 days ago | 258 comments
This matters because a tool's survival score shouldn't be measured against one agent. A tool that only one model knows about has a structural awareness problem. A tool three models independently converge on has something real.