What it measures

Can an agent deliver a change that survives repository tests and maintainer review? Partial rubric credit distinguishes incomplete work from a fully acceptable patch.

Version boundary

This is the 2.0 task set. FrontierCode 1.1 results remain on their own page; a percentage from one release is not a score on the other.

Where this fits in an evaluation suite

The agent wrapper is part of the system. Pin tools, dependencies, timeouts, tests, and the repository revision. Compare contest coding separately from repository maintenance.

Start with a capability hypothesis, then choose a second test with a different failure mode. Keep the checkpoint, reasoning effort, agent tools, sampling policy, and scoring procedure fixed when measuring a training intervention. Record failures and missing outputs in the denominator.

A reproducible comparison

Artificial Analysis: 132 private tasks, three attempts each, Stirrup, 500 turns, GPT-6 Luna (medium) judge. Blocking-check failures and solution-lookup flags score zero; task scores receive equal weight.

Publish the exact run configuration, item coverage, score units, and available uncertainty. If a source supplies only an aggregate or a single run, preserve that limit. A new model name or a rounded score alone does not establish a capability improvement.

PRIMARY EVIDENCE & FURTHER READING

  1. FrontierCode 2.0 Benchmark — Artificial Analysis ↗

    Artificial Analysis

  2. Artificial Analysis Intelligence Benchmarking Methodology — v5.0 ↗

    Artificial Analysis

  3. FrontierCode 2.0 ↗

    Cognition

Reviewed 2026-10-28. Explanation and interpretation by RLTasks. Benchmark ownership remains with its original authors.