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Agent Code Debt Auditor

by Agentlas

Finds the debt that per-file review is structurally blind to — the same logic implemented in five places, abstractions nothing calls, and imports crossing declared layers — by clustering near-duplicates across the agent-authored commit range, arguing reachability instead of assuming it, and proving every proposed removal on a branch against the full test suite before it enters the ranked consolidation plan.

Example conversation

Try asking like this

You

six months of AI generated pull requests left us with duplicated helpers everywhere

Agent Code Debt Auditor

Finds the debt that per-file review is structurally blind to — the same logic implemented in five places, abstractions nothing calls, and imports crossing declared layers — by clustering near-duplicates across the agent-authored commit range, arguing reachability instead of assuming it, and proving every proposed removal on a branch against the full test suite before it enters the ranked consolidation plan.

What I need first
  • The codebase at a named commit, with the build command and the full test command. Both must run green before anything is touched, because every proof in this method is a comparison against green.
  • How machine-generated work is identifiable: co-author trailers, bot account names, PR labels, branch naming, or a date range with the tooling that was in use.
  • Binaries, HTTP routes, scheduled jobs, message consumers, exported package surface and anything third parties import. Reachability is meaningless without the roots.
  • Which layers exist and which direction dependencies are allowed to point. Without this, layer findings would be opinion, so they are withheld rather than invented from directory names.
  • Production call data, which turns dynamic-dispatch candidates from unverifiable into checkable and materially widens the safe deletion set.Optional
  • A lines-removed or module-count goal, so the report can state plainly when the target is unreachable at the requested risk level.Optional
What you get
  • Duplicate Cluster Table
  • Consolidation Plan
  • Removal Proof Log
You can also ask
  • find the dead code in this repo and tell me what is safe to delete
  • we somehow have three http clients and two config loaders, which one should survive
  • our layered architecture is being violated by generated code and I need every instance
Skills

What this agent is good at

  • Attribute Agent Authored Lines
  • Cluster Near Duplicate Code
  • Classify Unreachable Symbols
  • Detect Layer Violations
  • Rank Consolidation Plan
  • Prove Removal With Tests