AI Test Harness Get in touch

Archived · Developer tooling

AI Test Harness

A small Rust harness for running model evaluations and getting the same number twice.

Anyone comparing models who has noticed their benchmark keeps moving.

Animated illustration of AI Test Harness ai-test-harness — session $ ai-test-harness run --scope . resolving workspace … Rust indexed 1,284 files · 96 changed analysis complete — 4 findings, 0 blocking $ ai-test-harness report --format=json written to ./report.json UNCHECKED UNWRAP IN RETRY PATH src/net DUPLICATE CONFIG PARSE src/cli DEAD BRANCH AFTER EARLY RETURN src/store TEST ASSERTS ON FORMATTING tests
Animated schematic of a representative session. Command names are real; timings are compressed for the page.
Built on
Rust
Fits the workflow
A step in the pipeline, not a replacement for it
History
1 commit, in the open record

What it is

A minimal harness for running repeatable evaluations against a model endpoint. Small, early, and largely superseded by the evaluation tooling now living inside rev-local.

Capabilities

What it actually does.

Anyone comparing models who has noticed their benchmark keeps moving.

  1. Repeatable prompt/response evaluation

    Repeatable prompt/response evaluation runs from a single Rust binary

How it works

3 moves, end to end.

This is how AI Test Harness works, not a set of steps you can follow yet — it is archived and not distributed.

  1. Drop it in

    AI Test Harness attaches to the repository or project you already have.

  2. Give it the job

    It takes a concrete task with a defined output, not an open-ended prompt.

  3. Review the result

    Everything it produces is a diff, a file or a report you approve before it counts.

The full technical description

Specification

Made of, and made when.

Read from the repository at build time rather than typed onto a marketing page.

State
Archived
Discipline
Developer tooling
Shape
Developer tooling
Started
Apr 2026
Last change
Apr 2026
Commits
1
  • Rust
  • Rust 100%

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Put AI Test Harness in your pipeline

Ask about integrating it with the repositories and agents you already run.

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