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Zhongwei Li
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skills/code-refactoring/iterations/iteration-1.md
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skills/code-refactoring/iterations/iteration-1.md
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# Iteration 1: Executor Command Builder Decomposition
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**Date**: 2025-10-21
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**Duration**: ~2.6 hours
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**Status**: Completed
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**Framework**: BAIME (Bootstrapped AI Methodology Engineering)
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---
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## 1. Executive Summary
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Focused on collapsing the 51-point cyclomatic hotspot inside `(*ToolExecutor).buildCommand` by introducing dictionary-driven builders and pipeline helpers. Refined `(*ToolExecutor).ExecuteTool` into a linear orchestration that delegates scope decisions, special-case handling, and response generation to smaller functions. Added value-function-aware instrumentation while keeping existing tests intact.
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Key achievements: cyclomatic complexity for `buildCommand` dropped from 51 → 3, `ExecuteTool` from 24 → 9, and new helper functions encapsulate metrics logging. All executor tests remained green, validating structural changes. Methodology layer advanced with formal iteration documentation and reusable scoring formulas.
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**Value Scores**:
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- V_instance(s_1) = 0.83 (Target: 0.80, Gap: +0.03 over target)
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- V_meta(s_1) = 0.50 (Target: 0.80, Gap: -0.30)
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---
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## 2. Pre-Execution Context
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**Previous State (s_{0})**: From Iteration 0 baseline.
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- V_instance(s_0) = 0.42 (Gap: -0.38)
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- C_complexity = 0.00
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- C_coverage = 0.74
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- C_regressions = 1.00
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- V_meta(s_0) = 0.18 (Gap: -0.62)
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- V_completeness = 0.10
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- V_effectiveness = 0.20
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- V_reusability = 0.25
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**Meta-Agent**: M_0 — BAIME driver with value-function scoring capability, newly instantiated.
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**Agent Set**: A_0 = {Refactoring Agent (complexity-focused), Test Guardian (Go test executor)}.
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**Primary Objectives**:
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1. ✅ Reduce executor hotspot complexity below threshold (cyclomatic ≤10).
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2. ✅ Preserve behavior via targeted unit/integration test runs.
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3. ✅ Introduce helper abstractions for logging/metrics reuse.
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4. ✅ Produce methodology artifacts (iteration logs + scoring formulas).
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---
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## 3. Work Executed
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### Phase 1: OBSERVE - Hotspot Confirmation (~20 min)
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**Data Collection**:
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- gocyclo (pre-change) captured in Iteration 0 notes.
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- Test suite status: `go test ./cmd/mcp-server -run TestBuildCommand` and `-run TestExecuteTool` (baseline run, green).
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**Analysis**:
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- **Switch Monolith**: `buildCommand` enumerated 13 tools, repeated flag parsing, and commingled validation with scope handling.
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- **Scope Leakage**: `ExecuteTool` mixed scope resolution, metrics, and jq filtering.
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- **Special-case duplication**: `cleanup_temp_files`, `list_capabilities`, and `get_capability` repeated duration/error logic.
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**Gaps Identified**:
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- Hard-coded switch prevents incremental extension.
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- Metrics code duplicated across special tools.
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- No separation between stats-only and stats-first behaviors.
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### Phase 2: CODIFY - Refactoring Plan (~25 min)
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**Deliverables**:
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- `toolPipelineConfig` struct + helper functions (`cmd/mcp-server/executor.go:19-43`).
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- Refactoring safety approach captured in this iteration log (no extra file).
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**Content Structure**:
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1. Extract pipeline configuration (jq filters, stats modes).
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2. Normalize execution metrics helpers (record success/failure).
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3. Use command builder map for per-tool argument wiring.
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**Patterns Extracted**:
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- **Builder Map Pattern**: Map tool name → builder function reduces branching.
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- **Pipeline Config Pattern**: Encapsulate repeated argument extraction.
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**Decision Made**: Replace monolithic switch with data-driven builders to localize tool-specific differences.
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**Rationale**:
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- Simplifies adding new tools.
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- Enables independent testing of command construction.
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- Reduces cyclomatic complexity to manageable levels.
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### Phase 3: AUTOMATE - Code Changes (~80 min)
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**Approach**: Apply small-surface refactors with immediate gofmt + go test loops.
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**Changes Made**:
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1. **Pipeline Helpers**:
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- Added `toolPipelineConfig`, `newToolPipelineConfig`, and `requiresMessageFilters` to centralize argument parsing (`cmd/mcp-server/executor.go:19-43`).
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- Introduced `determineScope`, `recordToolSuccess`, `recordToolFailure`, and `executeSpecialTool` to unify metric handling (`cmd/mcp-server/executor.go:45-115`).
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2. **Executor Flow**:
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- Rewrote `ExecuteTool` to rely on helpers and new config struct, reducing nested branching (`cmd/mcp-server/executor.go:117-182`).
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- Extracted response builders for stats-only, stats-first, and standard flows (`cmd/mcp-server/executor.go:184-277`).
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3. **Command Builders**:
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- Added `toolCommandBuilders` map and per-tool builder functions (e.g., `buildQueryToolsCommand`, `buildQueryConversationCommand`, etc.) (`cmd/mcp-server/executor.go:279-476`).
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- Simplified scope flag handling via `scopeArgs` helper (`cmd/mcp-server/executor.go:315-324`).
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4. **Logging Utilities**:
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- Converted `classifyError` into data-driven rules and added `containsAny` helper (`cmd/mcp-server/logging.go:60-90`).
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**Code Changes**:
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- Modified: `cmd/mcp-server/executor.go` (~400 LOC touched) — decomposition of executor pipeline.
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- Modified: `cmd/mcp-server/logging.go` (30 LOC) — error classification table.
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**Results**:
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```
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Before: gocyclo buildCommand = 51, ExecuteTool = 24
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After: gocyclo buildCommand = 3, ExecuteTool = 9
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```
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**Benefits**:
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- ✅ Complexity reduction exceeded target (evidence: `gocyclo cmd/mcp-server/executor.go`).
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- ✅ Special tool handling centralized; easier to verify metrics (shared helpers).
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- ✅ Methodology artifacts (iteration logs) increase reproducibility.
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### Phase 4: EVALUATE - Calculate V(s_1) (~20 min)
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**Instance Layer Components**:
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- C_complexity = `max(0, 1 - (17 - 10)/40)` = 0.825 (post-change maxCyclo = 17, function `ApplyJQFilter`).
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- C_coverage = 0.74 (unchanged coverage 70.3%).
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- C_regressions = 1.00 (tests pass).
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`V_instance(s_1) = 0.5*0.825 + 0.3*0.74 + 0.2*1.00 = 0.83`.
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**Meta Layer Components**:
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- V_completeness = 0.45 (baseline + iteration logs in place).
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- V_effectiveness = 0.50 (refactor completed with green tests, <3h turnaround).
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- V_reusability = 0.55 (builder map + pipeline config transferable to other tools).
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`V_meta(s_1) = (0.45 + 0.50 + 0.55) / 3 = 0.50`.
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**Evidence**:
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- `gocyclo cmd/mcp-server/executor.go | sort -nr | head` (post-change output).
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- `GOCACHE=$(pwd)/.gocache go test ./cmd/mcp-server -run TestBuildCommand` (0.009s).
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- `GOCACHE=$(pwd)/.gocache go test ./cmd/mcp-server -run TestExecuteTool` (~70s, all green).
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### Phase 5: VALIDATE (~10 min)
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Cross-validated builder outputs using existing executor tests (multiple subtests covering each tool). Manual code review ensured builder map retains identical argument coverage (see `executor_test.go:276`, `executor_test.go:798`).
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### Phase 6: REFLECT (~10 min)
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Documented iteration results here and updated main experiment state. Noted residual hotspot (`ApplyJQFilter`, cyclomatic 17) for next iteration.
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---
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## 4. V(s_1) Summary Table
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| Component | Weight | Score | Evidence |
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|-----------|--------|-------|----------|
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| C_complexity | 0.50 | 0.825 | gocyclo max runtime = 17 |
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| C_coverage | 0.30 | 0.74 | Coverage 70.3% |
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| C_regressions | 0.20 | 1.00 | Tests green |
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| **V_instance** | — | **0.83** | weighted sum |
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| V_completeness | 0.33 | 0.45 | Iteration logs established |
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| V_effectiveness | 0.33 | 0.50 | <3h cycle, tests automated |
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| V_reusability | 0.34 | 0.55 | Builder map reusable |
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| **V_meta** | — | **0.50** | average |
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---
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## 5. Convergence Assessment
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- Instance layer surpassed target (0.83 ≥ 0.80) but relies on remaining hotspot improvement for resilience.
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- Meta layer still short by 0.30; need richer methodology automation (templates, checklists, metrics capture).
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- Convergence not achieved; continue iterations focusing on meta uplift and remaining complexity pockets.
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---
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## 6. Next Iteration Plan (Iteration 2)
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1. Refactor `ApplyJQFilter` (cyclomatic 17) by separating parsing, execution, and serialization steps.
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2. Add focused unit tests around jq filter edge cases to guard new structure.
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3. Automate value collection (store gocyclo + coverage outputs in artifacts directory).
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4. Advance methodology completeness via standardized iteration templates.
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Estimated effort: ~3.0 hours.
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---
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## 7. Evolution Decisions
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### Agent Evolution
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- Refactoring Agent remains effective (✅) — new focus on parsing utilities.
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- Introduce **Testing Augmentor** (⚠️) for jq edge cases to push coverage.
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### Meta-Agent Evolution
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- M_1 retains BAIME driver but needs automation module. Decision deferred to Iteration 2 when artifact generation script is planned.
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---
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## 8. Artifacts Created
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- `.claude/skills/code-refactoring/iterations/iteration-1.md` — this document.
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- Updated executor/logging code (`cmd/mcp-server/executor.go`, `cmd/mcp-server/logging.go`).
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---
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## 9. Reflections
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### What Worked
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1. **Builder Map Extraction**: Simplified code while maintaining clarity across 13 tool variants.
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2. **Pipeline Config Struct**: Centralized repeated jq/stats parameter handling.
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3. **Helper-Based Metrics Logging**: Reduced duplication and eased future testing.
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### What Didn't Work
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1. **Test Runtime**: `TestExecuteTool` still requires ~70s; consider sub-test isolation next iteration.
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2. **Meta Automation**: Value calculation still manual; needs scripting support.
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### Learnings
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1. Breaking complexity into data-driven maps is effective for CLI wiring logic.
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2. BAIME documentation itself drives meta-layer score improvements; must maintain habit.
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3. Remaining hotspots often sit in parsing utilities; targeted tests are essential.
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### Insights for Methodology
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1. Introduce script to capture gocyclo + coverage snapshots automatically (Iteration 2 objective).
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2. Adopt iteration template to reduce friction when writing documentation.
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---
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## 10. Conclusion
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The executor refactor achieved the primary objective, elevating V_instance above target while improving the meta layer from 0.18 → 0.50. Remaining work centers on parsing complexity and methodology automation. Iteration 2 will tackle `ApplyJQFilter`, add edge-case tests, and codify artifact generation.
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**Key Insight**: Mapping tool handlers to discrete builder functions transforms maintainability without altering tests.
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**Critical Decision**: Invest in helper abstractions (config + metrics) to prevent regression in future additions.
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**Next Steps**: Execute Iteration 2 plan for jq filter refactor and methodology automation.
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**Confidence**: Medium-High — complexity reductions succeeded; residual risk lies in jq parsing semantics.
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---
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**Status**: ✅ Executor refactor delivered
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**Next**: Iteration 2 - JQ Filter Decomposition & Methodology Automation
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**Expected Duration**: 3.0 hours
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