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Productivity · Version 1.0.0 · Reviewed 2026-08-02

Legacy Code Seam Finder

Turn engineering context into a reliable artifact for seam identification and characterization tests with evidence, explicit trade-offs, and a verification plan.

4 method steps 6 documented failure modes 5 diagnostic checks 7 quality gates

Finds the safest places to change untested legacy code and sequences characterization tests around them.

₹149 one-time

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What this skill helps you do

  • Seam identification
  • Characterization tests
  • Change sequencing

How Legacy Code Seam Finder works

You provide

Current state, consumer inventory, and target state

It inspects

Coexistence and rollback viability for seam identification

It decides

A characterization tests sequence in reversible increments

You verify

Shadow comparison reports divergence rather than assuming zero

What it checks first

Legacy Code Seam Finder finds the safest places to change untested legacy code and sequences characterization tests around them. Use it when the work involves Seam identification, Characterization tests, Change sequencing.

  1. Whether the old and new paths can coexist, which determines if incremental migration is possible at all.
  2. The true consumer inventory, including internal jobs, scripts, and integrations not visible in the main codebase.
  3. Data volume and the time the migration takes at production scale, not sample scale.
  4. Whether the change is backward compatible for data written by the previous version during rollout.
  5. The rollback path, and specifically whether it remains available after the first irreversible step.

Failure modes it recognizes

  • A migration validated on a sample that takes hours on production volume and holds a lock throughout.
  • Dual-write divergence where one write succeeds and the other fails, with no reconciliation.
  • A backfill that races with live writes and overwrites newer values with older ones.
  • Removing the old path before all consumers migrated, discovered by a quarterly batch job weeks later.
  • A schema change that is forward compatible but not backward compatible, blocking rollback.
  • Enum or type widening that older readers cannot parse, breaking during a partial rollout.

Answers it will reject

  • A big-bang cutover with a maintenance window, which concentrates all risk into one unrehearsed moment.
  • Migrating and refactoring simultaneously, which makes failures impossible to attribute.
  • Treating the migration as done at cutover rather than after the old path is removed and verified unused.
  • Skipping the shadow-read comparison because the new implementation "obviously" matches.

Decision rules it applies

  • Use expand-migrate-contract: add the new shape, write both, migrate readers, then remove the old shape.
  • Every increment must be independently verifiable and independently revertible.
  • Keep the old path observable until traffic proves equivalence; remove it only on evidence of zero use.
  • Prefer additive schema changes; a removal is a separate, later, deliberately scheduled change.

Evidence it asks for

  • Run shadow reads comparing old and new outputs, and report the divergence rate rather than assuming zero.
  • Instrument usage of the deprecated path with a caller identifier so removal can be proven safe.
  • Rehearse the migration on a production-sized copy and record the actual duration and lock behavior.

The method inside

  1. Establish what is actually true about seam identification from the supplied evidence, and mark what is missing.
  2. Identify the mechanism behind characterization tests rather than restating the symptom.
  3. Choose the smallest defensible change for change sequencing, weighing impact, confidence, effort, and reversibility.
  4. Check every claim against the source

Deliverables

  • Seam identification assessment
  • Characterization tests decision and action plan
  • Change sequencing verification checklist

Evidence requirements

  • Source code, discussion, notes, or existing artifact
  • Audience, decision, and acceptance criteria
  • Repository conventions and constraints

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

We need to change a 4000-line class that has no tests and handles billing. Where do we start safely?

Expected output

Do not start by refactoring. Pin current behavior with characterization tests at the outermost boundary you can observe, including the wrong behavior, then introduce a seam at the smallest interface the change requires...

Boundaries and compatibility

Ideal for

  • Seam identification: produce a decision or artifact grounded in supplied evidence.
  • Characterization tests: produce a decision or artifact grounded in supplied evidence.
  • Change sequencing: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Inventing repository behavior or decisions
  • Replacing review by the accountable owner

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.