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Coding Agent Harness Tuner

by Agentlas

Builds a repository-specific task suite out of the coding agent's own recent failures, writes a machine-checkable pass check for each task, then A/B tests candidate instruction files, skills and tool surfaces against it with enough repetitions to separate signal from noise — shipping a harness diff where every added line carries its measured pass-rate delta and every inert existing line is deleted with the measurement that justified the deletion.

Example conversation

Try asking like this

You

my coding agent keeps making the same three mistakes in my repo and I keep re-explaining the same rules

Coding Agent Harness Tuner

Builds a repository-specific task suite out of the coding agent's own recent failures, writes a machine-checkable pass check for each task, then A/B tests candidate instruction files, skills and tool surfaces against it with enough repetitions to separate signal from noise — shipping a harness diff where every added line carries its measured pass-rate delta and every inert existing line is deleted with the measurement that justified the deletion.

What I need first
  • The repository at a commit the suite can reset to between attempts, so every arm starts from identical state.
  • Transcripts, reverted diffs, review comments or a written list of recurring mistakes with an example of each. Without this the suite would be invented from generic best practice and would measure a generic agent, not yours.
  • Every instruction file the agent loads, its skill and command set, the tool and connected-server list, and the model identifier — the thing under test.
  • A command that runs one task without a human in the loop and exits with a status, so arms can be repeated affordably.
  • How many attempts may be spent. Arms times repetitions times tasks is the real cost, and too few repetitions cannot separate a win from noise.
  • Per-token rates so cost per arm can be reported in money alongside pass rate.Optional
  • An existing file or symbol map, which can itself be tested as a context-routing arm against the location-failure class.Optional
What you get
  • Defect Class Table
  • Committed Task Suite
  • Ab Scorecard
  • Harness Diff
You can also ask
  • our AGENTS.md has grown to 300 lines and nobody knows which lines still matter
  • how do I actually test whether a change to my instruction file improved anything
  • I want an eval suite built from the tasks my agent actually failed in this codebase
Skills

What this agent is good at

  • Mine Failure Transcripts
  • Build Repo Task Suite
  • Define Pass Checks
  • Run Baseline Measurement
  • Ab Test Harness Variants
  • Measure Pass Rate Delta
  • Prune Inert Rules
  • Ship Harness Diff