learning.loop
It gets smarter every merge.
Proof the system improves — review accuracy from real PR outcomes, eval-score trend, self-learned patterns, and AutoFix self-verification.
the moat compounds
—%
AutoFix self-verification rate. Every merged fix mines a rule and a solved case, so the next bug is faster, safer, and eventually one-click.
0 regressions
not enough data yet
self-verification rate · trailing weeks
review accuracy
—%
0 PR outcomes recorded
latest eval score
—%
harness pass rate
patterns learned
0
0 confirmed catches
autofix verified
—%
0 runs · red→green
AutoFix self-verification / week
fill = verified (red→green) share of runs
No data in range yet.
Review accuracy / week
fill = clean share of recorded PR outcomes
No data in range yet.
Eval-run leaderboard
harness| run | score | pass/fail | when |
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