512 lines
14 KiB
Markdown
512 lines
14 KiB
Markdown
# Iteration N: [Iteration Title]
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**Date**: YYYY-MM-DD
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**Duration**: ~X hours
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**Status**: [In Progress / 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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[2-3 paragraphs summarizing:]
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- Iteration focus and primary objectives
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- Key achievements and deliverables
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- Key learnings and insights
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- Value scores with gaps to target
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**Value Scores**:
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- V_instance(s_N) = [X.XX] (Target: 0.80, Gap: [±X.XX])
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- V_meta(s_N) = [X.XX] (Target: 0.80, Gap: [±X.XX])
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---
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## 2. Pre-Execution Context
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**Previous State (s_{N-1})**: From Iteration N-1
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- V_instance(s_{N-1}) = [X.XX] (Target: 0.80, Gap: [±X.XX])
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- [Component 1] = [X.XX]
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- [Component 2] = [X.XX]
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- [Component 3] = [X.XX]
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- [Component 4] = [X.XX]
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- V_meta(s_{N-1}) = [X.XX] (Target: 0.80, Gap: [±X.XX])
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- V_completeness = [X.XX]
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- V_effectiveness = [X.XX]
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- V_reusability = [X.XX]
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**Meta-Agent**: M_{N-1} ([describe stability status, e.g., "M₀ stable, 5 capabilities"])
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**Agent Set**: A_{N-1} = {[list agent names]} ([describe type, e.g., "generic agents" or "2 specialized"])
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**Primary Objectives**:
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1. [Objective 1 with success indicator: ✅/⚠️/❌]
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2. [Objective 2 with success indicator: ✅/⚠️/❌]
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3. [Objective 3 with success indicator: ✅/⚠️/❌]
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4. [Objective 4 with success indicator: ✅/⚠️/❌]
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---
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## 3. Work Executed
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### Phase 1: OBSERVE - [Description] (~X min/hours)
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**Data Collection**:
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- [Baseline metric 1]: [value]
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- [Baseline metric 2]: [value]
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- [Baseline metric 3]: [value]
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**Analysis**:
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- **[Finding 1 Title]**: [Detailed finding with data]
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- **[Finding 2 Title]**: [Detailed finding with data]
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- **[Finding 3 Title]**: [Detailed finding with data]
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**Gaps Identified**:
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- [Gap area 1]: [Current state] → [Target state]
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- [Gap area 2]: [Current state] → [Target state]
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- [Gap area 3]: [Current state] → [Target state]
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### Phase 2: CODIFY - [Description] (~X min/hours)
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**Deliverable**: `[path/to/knowledge-file.md]` ([X lines])
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**Content Structure**:
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1. [Section 1]: [Description]
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2. [Section 2]: [Description]
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3. [Section 3]: [Description]
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**Patterns Extracted**:
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- **[Pattern 1 Name]**: [Description, applicability, benefits]
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- **[Pattern 2 Name]**: [Description, applicability, benefits]
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**Decision Made**:
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[Key decision with rationale]
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**Rationale**:
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- [Reason 1]
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- [Reason 2]
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- [Reason 3]
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### Phase 3: AUTOMATE - [Description] (~X min/hours)
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**Approach**: [High-level approach description]
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**Changes Made**:
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1. **[Change Category 1]**:
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- [Specific change 1a]
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- [Specific change 1b]
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2. **[Change Category 2]**:
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- [Specific change 2a]
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- [Specific change 2b]
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3. **[Change Category 3]**:
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```[language]
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// Example code changes
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// Before:
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[old code]
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// After:
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[new code]
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```
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**Code Changes**:
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- Modified: `[file path]` ([X lines changed], [description])
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- Created: `[file path]` ([X lines], [description])
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**Results**:
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```
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Before: [metric]
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After: [metric]
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```
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**Benefits**:
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- ✅ [Benefit 1 with evidence]
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- ✅ [Benefit 2 with evidence]
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- ✅ [Benefit 3 with evidence]
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### Phase 4: EVALUATE - Calculate V(s_N) (~X min/hours)
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**Measurements**:
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- [Metric 1]: [baseline value] → [final value] (change: [±X%])
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- [Metric 2]: [baseline value] → [final value] (change: [±X%])
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- [Metric 3]: [baseline value] → [final value] (change: [±X%])
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**Why [Metric Changed/Didn't Change]**:
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- [Reason 1]
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- [Reason 2]
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---
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## 4. Value Calculations
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### V_instance(s_N) Calculation
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**Formula**:
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```
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V_instance(s) = [weight1]·[Component1] + [weight2]·[Component2] + [weight3]·[Component3] + [weight4]·[Component4]
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```
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#### Component 1: [Component Name]
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**Measurement**:
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- [Sub-metric 1]: [value]
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- [Sub-metric 2]: [value]
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- [Sub-metric 3]: [value]
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**Score**: **[X.XX]** ([±X.XX from previous iteration])
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**Evidence**:
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- [Concrete evidence 1 with data]
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- [Concrete evidence 2 with data]
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- [Concrete evidence 3 with data]
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#### Component 2: [Component Name]
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**Measurement**:
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- [Sub-metric 1]: [value]
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- [Sub-metric 2]: [value]
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**Score**: **[X.XX]** ([±X.XX from previous iteration])
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**Evidence**:
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- [Concrete evidence 1]
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- [Concrete evidence 2]
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#### Component 3: [Component Name]
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**Measurement**:
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- [Sub-metric 1]: [value]
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**Score**: **[X.XX]** ([±X.XX from previous iteration])
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**Evidence**:
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- [Concrete evidence 1]
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#### Component 4: [Component Name]
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**Measurement**: [Description]
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**Score**: **[X.XX]** ([±X.XX from previous iteration])
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**Evidence**: [Concrete evidence]
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#### V_instance(s_N) Final Calculation
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```
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V_instance(s_N) = [weight1]·([score1]) + [weight2]·([score2]) + [weight3]·([score3]) + [weight4]·([score4])
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= [term1] + [term2] + [term3] + [term4]
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= [sum]
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≈ [X.XX]
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```
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**V_instance(s_N) = [X.XX]** (Target: 0.80, Gap: [±X.XX] or [±X]%)
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**Change from s_{N-1}**: [±X.XX] ([±X]% improvement/decline)
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---
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### V_meta(s_N) Calculation
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**Formula**:
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```
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V_meta(s) = 0.40·V_completeness + 0.30·V_effectiveness + 0.30·V_reusability
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```
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#### Component 1: V_completeness (Methodology Documentation)
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**Checklist Progress** ([X]/15 items):
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- [x] Process steps documented ✅
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- [x] Decision criteria defined ✅
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- [x] Examples provided ✅
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- [x] Edge cases covered ✅
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- [x] Failure modes documented ✅
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- [x] Rationale explained ✅
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- [ ] [Additional item 7]
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- [ ] [Additional item 8]
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- [ ] [Additional item 9]
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- [ ] [Additional item 10]
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- [ ] [Additional item 11]
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- [ ] [Additional item 12]
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- [ ] [Additional item 13]
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- [ ] [Additional item 14]
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- [ ] [Additional item 15]
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**Score**: **[X.XX]** ([±X.XX from previous iteration])
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**Evidence**:
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- [Evidence 1: document created, X lines]
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- [Evidence 2: patterns added]
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- [Evidence 3: examples provided]
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**Gap to 1.0**: Still missing [X]/15 items
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- [Missing item 1]
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- [Missing item 2]
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- [Missing item 3]
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#### Component 2: V_effectiveness (Practical Impact)
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**Measurement**:
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- **Time savings**: [X hours for task] (vs [Y hours ad-hoc] → [Z]x speedup)
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- **Pattern usage**: [Describe how patterns were applied]
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- **Quality improvement**: [Metric] improved from [X] to [Y]
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- **Speedup estimate**: [Z]x faster than ad-hoc approach
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**Score**: **[X.XX]** ([±X.XX from previous iteration])
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**Evidence**:
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- [Evidence 1: time measurement]
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- [Evidence 2: quality improvement]
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- [Evidence 3: pattern effectiveness]
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**Gap to 0.80**: [What's needed]
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- [Gap item 1]
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- [Gap item 2]
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#### Component 3: V_reusability (Transferability)
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**Assessment**: [Overall transferability assessment]
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**Score**: **[X.XX]** ([±X.XX from previous iteration])
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**Evidence**:
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- [Evidence 1: universal patterns identified]
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- [Evidence 2: language-agnostic concepts]
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- [Evidence 3: cross-domain applicability]
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**Transferability Estimate**:
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- Same language ([language]): ~[X]% modification ([reason])
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- Similar language ([language] → [language]): ~[X]% modification ([reason])
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- Different paradigm ([language] → [language]): ~[X]% modification ([reason])
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**Gap to 0.80**: [What's needed]
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- [Gap item 1]
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- [Gap item 2]
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#### V_meta(s_N) Final Calculation
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```
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V_meta(s_N) = 0.40·([completeness]) + 0.30·([effectiveness]) + 0.30·([reusability])
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= [term1] + [term2] + [term3]
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= [sum]
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≈ [X.XX]
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```
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**V_meta(s_N) = [X.XX]** (Target: 0.80, Gap: [±X.XX] or [±X]%)
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**Change from s_{N-1}**: [±X.XX] ([±X]% improvement/decline)
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---
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## 5. Gap Analysis
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### Instance Layer Gaps (ΔV = [±X.XX] to target)
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**Status**: [Assessment, e.g., "🔄 MODERATE PROGRESS (X% of target)"]
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**Priority 1: [Gap Area]** ([Component] = [X.XX], need [±X.XX])
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- [Action item 1]: [Details, expected impact]
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- [Action item 2]: [Details, expected impact]
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- [Action item 3]: [Details, expected impact]
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**Priority 2: [Gap Area]** ([Component] = [X.XX], need [±X.XX])
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- [Action item 1]
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- [Action item 2]
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**Priority 3: [Gap Area]** ([Component] = [X.XX], status)
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- [Action item 1]
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**Priority 4: [Gap Area]** ([Component] = [X.XX], status)
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- [Assessment]
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**Estimated Work**: [X] more iteration(s) to reach V_instance ≥ 0.80
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### Meta Layer Gaps (ΔV = [±X.XX] to target)
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**Status**: [Assessment]
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**Priority 1: Completeness** (V_completeness = [X.XX], need [±X.XX])
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- [Action item 1]
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- [Action item 2]
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- [Action item 3]
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**Priority 2: Effectiveness** (V_effectiveness = [X.XX], need [±X.XX])
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- [Action item 1]
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- [Action item 2]
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- [Action item 3]
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**Priority 3: Reusability** (V_reusability = [X.XX], need [±X.XX])
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- [Action item 1]
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- [Action item 2]
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- [Action item 3]
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**Estimated Work**: [X] more iteration(s) to reach V_meta ≥ 0.80
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---
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## 6. Convergence Check
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### Criteria Assessment
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**Dual Threshold**:
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- [ ] V_instance(s_N) ≥ 0.80: [✅ YES / ❌ NO] ([X.XX], gap: [±X.XX], [X]% of target)
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- [ ] V_meta(s_N) ≥ 0.80: [✅ YES / ❌ NO] ([X.XX], gap: [±X.XX], [X]% of target)
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**System Stability**:
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- [ ] M_N == M_{N-1}: [✅ YES / ❌ NO] ([rationale, e.g., "M₀ stable, no evolution needed"])
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- [ ] A_N == A_{N-1}: [✅ YES / ❌ NO] ([rationale, e.g., "generic agents sufficient"])
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**Objectives Complete**:
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- [ ] [Objective 1]: [✅ YES / ❌ NO] ([status])
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- [ ] [Objective 2]: [✅ YES / ❌ NO] ([status])
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- [ ] [Objective 3]: [✅ YES / ❌ NO] ([status])
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- [ ] [Objective 4]: [✅ YES / ❌ NO] ([status])
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**Diminishing Returns**:
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- ΔV_instance = [±X.XX] ([assessment, e.g., "small but positive", "diminishing"])
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- ΔV_meta = [±X.XX] ([assessment])
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- [Overall assessment]
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**Status**: [✅ CONVERGED / ❌ NOT CONVERGED]
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**Reason**:
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- [Detailed rationale for convergence decision]
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- [Supporting evidence 1]
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- [Supporting evidence 2]
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**Progress Trajectory**:
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- Instance layer: [s0] → [s1] → [s2] → ... → [sN]
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- Meta layer: [s0] → [s1] → [s2] → ... → [sN]
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**Estimated Iterations to Convergence**: [X] more iteration(s)
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- Iteration N+1: [Expected progress]
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- Iteration N+2: [Expected progress]
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- Iteration N+3: [Expected progress]
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---
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## 7. Evolution Decisions
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### Agent Evolution
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**Current Agent Set**: A_N = [list agents, e.g., "A_{N-1}" if unchanged]
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**Sufficiency Analysis**:
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- [✅/❌] [Agent 1 name]: [Performance assessment]
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- [✅/❌] [Agent 2 name]: [Performance assessment]
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- [✅/❌] [Agent 3 name]: [Performance assessment]
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**Decision**: [✅ NO EVOLUTION NEEDED / ⚠️ EVOLUTION NEEDED]
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**Rationale**:
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- [Reason 1]
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- [Reason 2]
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- [Reason 3]
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**If Evolution**: [Describe new agent, rationale, expected improvement]
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**Re-evaluate**: [When to reassess, e.g., "After Iteration N+1 if [condition]"]
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### Meta-Agent Evolution
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**Current Meta-Agent**: M_N = [describe, e.g., "M_{N-1} (5 capabilities)"]
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**Sufficiency Analysis**:
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- [✅/❌] [Capability 1]: [Effectiveness assessment]
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- [✅/❌] [Capability 2]: [Effectiveness assessment]
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- [✅/❌] [Capability 3]: [Effectiveness assessment]
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- [✅/❌] [Capability 4]: [Effectiveness assessment]
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- [✅/❌] [Capability 5]: [Effectiveness assessment]
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**Decision**: [✅ NO EVOLUTION NEEDED / ⚠️ EVOLUTION NEEDED]
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**Rationale**: [Detailed reasoning]
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**If Evolution**: [Describe new capability, rationale, expected improvement]
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---
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## 8. Artifacts Created
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### Data Files
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- `[path/to/data-file-1]` - [Description, e.g., "Test coverage report (X%)"]
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- `[path/to/data-file-2]` - [Description]
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- `[path/to/data-file-3]` - [Description]
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### Knowledge Files
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- `[path/to/knowledge-file-1]` - [Description, e.g., "**X lines, Pattern Y documented**"]
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- `[path/to/knowledge-file-2]` - [Description]
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### Code Changes
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- Modified: `[file path]` ([X lines, description])
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- Created: `[file path]` ([X lines, description])
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- Deleted: `[file path]` ([reason])
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### Other Artifacts
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- [Artifact type]: [Description]
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- [Artifact type]: [Description]
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---
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## 9. Reflections
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### What Worked
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1. **[Success 1 Title]**: [Detailed description with evidence]
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2. **[Success 2 Title]**: [Detailed description with evidence]
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3. **[Success 3 Title]**: [Detailed description with evidence]
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4. **[Success 4 Title]**: [Detailed description with evidence]
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### What Didn't Work
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1. **[Challenge 1 Title]**: [Detailed description with root cause]
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2. **[Challenge 2 Title]**: [Detailed description with root cause]
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3. **[Challenge 3 Title]**: [Detailed description with root cause]
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### Learnings
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1. **[Learning 1 Title]**: [Insight gained, applicability]
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2. **[Learning 2 Title]**: [Insight gained, applicability]
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3. **[Learning 3 Title]**: [Insight gained, applicability]
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4. **[Learning 4 Title]**: [Insight gained, applicability]
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### Insights for Methodology
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1. **[Insight 1 Title]**: [Meta-level insight for methodology development]
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2. **[Insight 2 Title]**: [Meta-level insight for methodology development]
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3. **[Insight 3 Title]**: [Meta-level insight for methodology development]
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4. **[Insight 4 Title]**: [Meta-level insight for methodology development]
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---
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## 10. Conclusion
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[Comprehensive summary paragraph covering:]
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- Overall iteration assessment
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- Key metrics and their changes
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- Critical decisions made and their rationale
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- Methodology development progress
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**Key Metrics**:
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- **[Metric 1]**: [value] ([change], target: [target])
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- **[Metric 2]**: [value] ([change], target: [target])
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- **[Metric 3]**: [value] ([change], target: [target])
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**Value Functions**:
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- **V_instance(s_N) = [X.XX]** ([X]% of target, [±X.XX] improvement)
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- **V_meta(s_N) = [X.XX]** ([X]% of target, [±X.XX] improvement - [±X]% growth)
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**Key Insight**: [Main takeaway from this iteration in 1-2 sentences]
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**Critical Decision**: [Most important decision made and its impact]
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**Next Steps**: [What Iteration N+1 will focus on, expected outcomes]
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**Confidence**: [Assessment of confidence in achieving next iteration goals, e.g., "High / Medium / Low" with reasoning]
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---
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**Status**: [Status indicator, e.g., "✅ [Achievement]" or "🔄 [In Progress]"]
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**Next**: Iteration N+1 - [Focus Area]
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**Expected Duration**: [X] hours
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