427 lines
8.7 KiB
Markdown
427 lines
8.7 KiB
Markdown
# Rapid Convergence Strategy Guide
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**Purpose**: Iteration-by-iteration tactics for 3-4 iteration convergence
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**Time**: 10-15 hours total (vs 20-30 standard)
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---
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## Pre-Iteration 0: Planning (1-2 hours)
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### Objectives
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1. Confirm rapid convergence feasible
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2. Establish measurement infrastructure
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3. Define scope boundaries
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4. Plan validation approach
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### Tasks
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**1. Baseline Assessment** (30 min):
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```bash
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# Query existing data
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meta-cc query-tools --status=error
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meta-cc query-user-messages --pattern="test|coverage"
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# Calculate baseline metrics
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# Estimate V_meta(s₀)
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```
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**2. Scope Definition** (20 min):
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```markdown
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## Domain: [1-sentence definition]
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**In-Scope**: [3-5 items]
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**Out-of-Scope**: [3-5 items]
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**Edge Cases**: [Handling approach]
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```
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**3. Success Criteria** (20 min):
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```markdown
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## Convergence Targets
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**V_instance ≥ 0.80**:
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- Metric 1: [Target]
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- Metric 2: [Target]
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**V_meta ≥ 0.80**:
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- Patterns: [8-10 documented]
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- Tools: [3-5 created]
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- Transferability: [≥80%]
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```
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**4. Prediction** (10 min):
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```
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Use prediction model:
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Base(4) + penalties = [X] iterations expected
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```
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**Deliverable**: `README.md` with scope, targets, prediction
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---
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## Iteration 0: Comprehensive Baseline (3-5 hours)
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### Objectives
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- Achieve V_meta(s₀) ≥ 0.40
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- Initial taxonomy: 70-80% coverage
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- Identify top 3 automations
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### Time Allocation
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- Data analysis: 60-90 min (40%)
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- Taxonomy creation: 45-75 min (30%)
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- Pattern research: 30-45 min (20%)
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- Automation planning: 15-30 min (10%)
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### Tasks
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**1. Comprehensive Data Analysis** (60-90 min):
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```bash
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# Extract ALL available data
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meta-cc query-tools --scope=project > tools.jsonl
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meta-cc query-user-messages --pattern=".*" > messages.jsonl
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# Analyze patterns
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cat tools.jsonl | jq -r '.error' | sort | uniq -c | sort -rn | head -20
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# Calculate frequencies
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total=$(cat tools.jsonl | wc -l)
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# For each pattern: count / total
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```
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**2. Initial Taxonomy** (45-75 min):
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```markdown
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## Taxonomy v0
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### Category 1: [Name] ([frequency]%, [count])
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**Pattern**: [Description]
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**Examples**: [3-5 examples]
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**Root Cause**: [Analysis]
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### Category 2: ...
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[Repeat for 10-15 categories]
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**Coverage**: [X]% ([classified]/[total])
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```
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**3. Pattern Research** (30-45 min):
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```markdown
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## Prior Art
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**Source 1**: [Industry taxonomy/framework]
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- Borrowed: [Pattern A, Pattern B, ...]
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- Transferability: [X]%
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**Source 2**: [Similar project]
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- Borrowed: [Pattern C, Pattern D, ...]
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- Adaptations needed: [List]
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**Total Borrowable**: [X]/[Y] patterns = [Z]%
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```
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**4. Automation Planning** (15-30 min):
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```markdown
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## Top Automation Candidates
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**1. [Tool Name]**
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- Frequency: [X]% of cases
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- Prevention: [Y]% of pattern
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- ROI estimate: [Z]x
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- Feasibility: [High/Medium/Low]
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**2. [Tool Name]**
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[Same structure]
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**3. [Tool Name]**
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[Same structure]
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```
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### Metrics
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Calculate V_meta(s₀):
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```
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Completeness: [initial_categories] / [estimated_final] = [X]
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Transferability: [borrowed] / [total_needed] = [Y]
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Automation: [identified] / [expected] = [Z]
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V_meta(s₀) = 0.4×[X] + 0.3×[Y] + 0.3×[Z] = [RESULT]
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Target: ≥ 0.40 ✅/❌
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```
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**Deliverables**:
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- `taxonomy-v0.md` (10-15 categories, ≥70% coverage)
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- `baseline-metrics.md` (V_meta(s₀), frequencies)
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- `automation-plan.md` (top 3 tools, ROI estimates)
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---
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## Iteration 1: High-Impact Automation (3-4 hours)
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### Objectives
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- V_instance ≥ 0.60 (significant improvement)
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- Implement top 2-3 tools
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- Expand taxonomy to 90%+ coverage
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### Time Allocation
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- Tool implementation: 90-120 min (50%)
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- Taxonomy expansion: 45-60 min (25%)
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- Testing & validation: 45-60 min (25%)
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### Tasks
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**1. Build Automation Tools** (90-120 min):
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```bash
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# Tool 1: validate-path.sh (30-40 min)
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#!/bin/bash
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# Fuzzy path matching, typo correction
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# Target: 150-200 LOC
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# Tool 2: check-file-size.sh (20-30 min)
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#!/bin/bash
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# File size check, auto-pagination
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# Target: 100-150 LOC
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# Tool 3: check-read-before-write.sh (40-50 min)
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#!/bin/bash
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# Workflow validation
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# Target: 150-200 LOC
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```
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**2. Expand Taxonomy** (45-60 min):
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```markdown
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## Taxonomy v1
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### [New Category 11]: [Name]
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[Analysis of remaining 10-20% of cases]
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### [New Category 12]: [Name]
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[Continue until ≥90% coverage]
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**Coverage**: [X]% ([classified]/[total])
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**Gap Analysis**: [Remaining uncategorized patterns]
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```
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**3. Test & Measure** (45-60 min):
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```bash
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# Test tools on historical data
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./scripts/validate-path.sh "path/to/file" # Expect suggestions
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./scripts/check-file-size.sh "large-file.json" # Expect warning
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# Calculate impact
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prevented=$(estimate_prevention_rate)
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time_saved=$(calculate_time_savings)
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roi=$(calculate_roi)
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# Update metrics
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```
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### Metrics
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```
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V_instance calculation:
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- Success rate: [X]%
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- Quality: [Y]/5
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- Efficiency: [Z] min/task
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V_instance = 0.4×[success] + 0.3×[quality/5] + 0.2×[efficiency] + 0.1×[reliability]
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= [RESULT]
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Target: ≥ 0.60 (progress toward 0.80)
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```
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**Deliverables**:
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- `scripts/tool1.sh`, `scripts/tool2.sh`, `scripts/tool3.sh`
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- `taxonomy-v1.md` (≥90% coverage)
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- `iteration-1-results.md` (V_instance, V_meta, gaps)
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---
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## Iteration 2: Validation & Refinement (3-4 hours)
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### Objectives
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- V_instance ≥ 0.80 ✅
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- V_meta ≥ 0.80 ✅
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- Validate stability (2 consecutive iterations)
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### Time Allocation
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- Retrospective validation: 60-90 min (40%)
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- Taxonomy completion: 30-45 min (20%)
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- Tool refinement: 45-60 min (25%)
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- Documentation: 30-45 min (15%)
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### Tasks
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**1. Retrospective Validation** (60-90 min):
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```bash
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# Apply methodology to historical data
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meta-cc validate \
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--methodology error-recovery \
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--history .claude/sessions/*.jsonl
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# Measure:
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# - Coverage: [X]% of historical cases handled
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# - Time savings: [Y] hours saved
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# - Prevention: [Z]% errors prevented
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# - Confidence: [Score]
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```
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**2. Complete Taxonomy** (30-45 min):
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```markdown
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## Taxonomy v2 (Final)
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[Review all categories]
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[Add final 1-2 categories if needed]
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[Refine existing categories]
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**Final Coverage**: [X]% ≥ 95% ✅
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**Uncategorized**: [Y]% (acceptable edge cases)
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```
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**3. Refine Tools** (45-60 min):
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```bash
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# Based on validation feedback
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# - Fix bugs discovered
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# - Improve accuracy
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# - Add edge case handling
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# - Optimize performance
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# Re-test
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# Re-measure ROI
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```
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**4. Documentation** (30-45 min):
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```markdown
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## Complete Methodology
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### Patterns: [8-10 documented]
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### Tools: [3-5 with usage]
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### Transferability: [≥80%]
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### Validation: [Results]
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```
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### Metrics
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```
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V_instance: [X] (≥0.80? ✅/❌)
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V_meta: [Y] (≥0.80? ✅/❌)
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Stability check:
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- Iteration 1: V_instance = [A]
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- Iteration 2: V_instance = [B]
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- Change: [|B-A|] < 0.05? ✅/❌
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Convergence: ✅/❌
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```
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**Decision**:
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- ✅ Converged → Deploy
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- ❌ Not converged → Iteration 3 (gap analysis)
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**Deliverables**:
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- `validation-report.md` (confidence, coverage, ROI)
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- `methodology-complete.md` (production-ready)
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- `transferability-guide.md` (80%+ reuse documentation)
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---
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## Iteration 3 (If Needed): Gap Closure (2-3 hours)
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### Objectives
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- Close specific gaps preventing convergence
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- Reach dual-layer convergence (V_instance ≥ 0.80, V_meta ≥ 0.80)
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### Gap Analysis
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```markdown
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## Why Not Converged?
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**V_instance gaps** ([X] < 0.80):
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- Metric A: [current] vs [target] = gap [Z]
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- Root cause: [Analysis]
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- Fix: [Action]
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**V_meta gaps** ([Y] < 0.80):
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- Component: [completeness/transferability/automation]
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- Current: [X]
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- Target: [Y]
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- Fix: [Action]
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```
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### Focused Improvements
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**Time**: 2-3 hours (targeted, not comprehensive)
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**Tasks**:
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- Address 1-2 major gaps only
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- Refine existing work (no new patterns)
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- Validate fixes
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**Re-measure**:
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```
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V_instance: [X] ≥ 0.80? ✅/❌
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V_meta: [Y] ≥ 0.80? ✅/❌
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Stable for 2 iterations? ✅/❌
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```
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---
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## Timeline Summary
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### Rapid Convergence (3 iterations)
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```
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Pre-Iteration 0: 1-2h
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Iteration 0: 3-5h (comprehensive baseline)
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Iteration 1: 3-4h (automation + expansion)
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Iteration 2: 3-4h (validation + convergence)
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---
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Total: 10-15h ✅
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```
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### Standard (If Iteration 3 Needed)
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```
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Pre-Iteration 0: 1-2h
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Iteration 0: 3-5h
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Iteration 1: 3-4h
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Iteration 2: 3-4h
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Iteration 3: 2-3h (gap closure)
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---
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Total: 12-18h (still faster than standard 20-30h)
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```
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---
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## Anti-Patterns
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### ❌ Rushing Iteration 0
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**Symptom**: Spending 1-2 hours (vs 3-5)
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**Impact**: Low V_meta(s₀), requires more iterations
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**Fix**: Invest 3-5 hours for comprehensive baseline
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### ❌ Over-Engineering Tools
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**Symptom**: Spending 4+ hours per tool
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**Impact**: Delays convergence
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**Fix**: Simple tools (150-200 LOC, 30-60 min each)
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### ❌ Premature Convergence
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**Symptom**: Declaring done at V = 0.75
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**Impact**: Quality issues in production
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**Fix**: Respect 0.80 threshold, ensure 2-iteration stability
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---
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**Source**: BAIME Rapid Convergence Strategy
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**Validation**: Bootstrap-003 (3 iterations, 10 hours)
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**Success Rate**: 85% (11/13 experiments)
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