Choose a coding agent your team can trust
Rolling out an AI coding agent without evaluation is a gamble. nomul gives engineering leaders apples-to-apples comparisons — same tasks, same verifiers, full tool traces.
The problems teams face
Opaque tool use
Demos look great, but you cannot see whether the agent searched before editing, called the right tools, or hallucinated capabilities.
Release regressions
Agent updates ship weekly. Without benchmarks, a new version can pass fewer tasks or burn more tokens without anyone noticing.
No fair comparison
Vendor claims are hard to verify. nomul runs every agent on the same suite with the same verifiers and scoring.
How nomul helps
Replayable traces
Review exactly what each agent did — tool calls, messages, diffs — before approving it for your codebase.
Composite scoring
Pass rate alone is not enough. Score efficiency, correct tool sequencing, and speed on the same tasks.
Public leaderboards
See how agents rank on pass rate, mean score, tool calls, and p95 latency — updated as new runs complete.
Shared vocabulary
Give your team a common framework for agent evaluation instead of ad-hoc prompt testing.
Evaluate before you adopt
Browse leaderboards, inspect traces, and share results with your team — then read the FAQ for common evaluation questions.