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52-execute-refactor-150

[52] EXECUTE. Three-stage refactoring workflow: (1) iterative research of refactor/modularization options, (2) plan + risk/edge-case analysis + Scope150 validation, then implement with tests after user confirmation, and (3) apply Scout105 cleanup protocol. Use when asked to refactor, modularize, or restructure code safely.

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Execute-Refactor 150 Protocol

Overview

Run in three stages:

  1. Research refactor options (iterative, no code changes).
  2. Plan + confirm + implement with tests and validation.
  3. Apply Scout105 cleanup (objective, small, user-approved).

Stage 1 — Research refactor options (iterative)

  1. Create or reuse the session log at .sessions/SESSION_[date]-[name].md.

    • If the file does not exist, create it and add the investigation template below.
    • Keep all research notes inside the session log only (no scattered notes in chat).
  2. Define the core question (the refactor goal).

    • Write a single sentence: “We need to refactor X to achieve Y.”
    • Example: “Refactor SermonCard to reduce duplication and isolate date logic.”
  3. Define scope (Scope150).

    • Core (100%): list files and behaviors you will directly change.
    • Boundary (50%): list callers, dependent modules, tests, configs, and data flow.
    • If unsure, add a “to verify” bullet and resolve it during observations.
  4. Perform observations (search/read) in ordered layers.

    • Interface layer: find entry points (routes, public APIs, UI entry points).
    • Domain layer: identify entities, i18n keys, enums, types.
    • Pattern layer: locate hooks, services, clients, shared utilities.
    • Usage layer: trace imports and call sites.
    • For each layer, read the minimum number of files that explain the behavior.
  5. Record findings in the log with sources.

    • Each fact must include a source (file path + line reference or command).
    • Separate facts from hypotheses. Do not mix them.
  6. Generate hypotheses and refactor options.

    • For each option, note: goal, steps, benefits, risks, and test impact.
    • Prefer at least 2 options so tradeoffs are explicit.
  7. Decide if more research is needed.

    • If user says “research more”, expand scope or inspect new files.
    • Update the log with new branches and continue Stage 1.
  8. Stop before implementation.

    • End Stage 1 with: options summary, remaining unknowns, and a recommended path.

Investigation log template

## Investigations

### Investigation: <short topic>

#### Core question
- ...

#### Scope
- Core (100%):
  - ...
- Boundary (50%):
  - ...

#### Findings
- <fact> (source: file path / command)
  - Subfinding

#### Hypotheses
- H1: ...
  - Prediction: ...
  - Test: ...
  - Status: pending/confirmed/rejected

#### Refactor options
- Option A: ... (pros/cons)
- Option B: ... (pros/cons)

#### Next branches
- ...

Stage 2 — Plan, confirm, implement

  1. Write a refactor plan.

    • Break into ordered steps with file-level granularity.
    • Include expected intermediate states (what should still pass after each step).
  2. List risks and edge cases.

    • Identify behavior changes, API contract risks, and hidden coupling.
    • Explicitly note any breaking-change risk.
  3. Define a validation checklist.

    • Tests to run (unit/integration).
    • Manual checks if needed (UI flows, API calls).
    • Expected outputs and what would indicate failure.
  4. Perform Scope150 validation planning.

    • Core (100%): ensure each planned change has a test or validation step.
    • Boundary (50%): list all callers/integrations/tests to be checked.
  5. Ask for user confirmation before editing.

    • Provide plan, risks, and validation checklist.
    • Do not edit until the user approves.
  6. Implement the refactor.

    • Follow the plan in order.
    • Keep changes minimal and reversible.
  7. Add or update tests.

    • Cover changed logic and any new boundaries.
    • Avoid brittle tests; prefer behavior-based assertions.
  8. Run validation.

    • Execute all tests from the checklist.
    • Record results and fix failures before moving to Stage 3.

Stage 3 — Scout105 cleanup protocol

Apply only objective cleanup after a Key Point (phase complete). Do not add features.

Trigger (Key Point)

  • Apply only after a milestone where the user would see complete value.
  • Do not run per-file; run once per phase.

Allowed cleanup categories (objective only)

  • Unused code: unused imports/vars/fields (provable by grep/IDE).
  • Typos: spelling errors in comments/strings (spellcheckable).
  • Formatting inconsistencies: breaks the file’s own pattern.
  • Dead code: commented debug lines or unreachable code.
  • Obviously wrong logic: provably incorrect (duplicate checks, impossible types).

Constraints

  • Only in files already touched by the primary task.
  • Remove garbage only; no new features or refactors.
  • Each cleanup must take ≤ 30 seconds to verify + fix.
  • Total cleanup time ≤ 5% of primary task time.
  • Must be objectively measurable; if not measurable, skip.
  • Require user approval before executing cleanup.

Scout105 report (present to user)

✅ Key Point complete: <brief summary>

Scout105 opportunities:
- <file>: <item> (category, evidence)
- <file>: <item> (category, evidence)

Run Scout105 cleanup? [Yes / Skip / Selective]

Execution

  • If approved, apply all selected cleanups in batch.
  • Run tests/build to validate no regression.
  • If failures occur, revert or investigate causality before proceeding.

Output expectations

  • Stage 1: Provide refactor options + log path + remaining branches + recommended path.
  • Stage 2: Provide plan, risks, validation checklist, and request confirmation.
  • Stage 3: Provide Scout105 report, decision, and validation result.

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