6.0 KiB
Example Specification - Self-Improving Code Patterns
Type: Meta-Aware Code Generation Created: 2025-10-10 Purpose: Demonstrate meta-prompting principles in code generation
Overview
Generate self-documenting, pattern-based code components that demonstrate awareness of their own structure and can suggest improvements to themselves.
Structural Framework
Each generated component follows this meta-aware architecture:
Component = {
Implementation: [actual functionality],
Structure: [abstract pattern being used],
MetaData: [self-description and improvement hooks],
Reflection: [analysis of own design]
}
Generation Patterns
Pattern 1: Self-Documenting Structure
Abstract Template:
function/class/module:
- Core logic (what it does)
- Structural comment (what pattern it uses)
- Complexity metric (self-assessed)
- Improvement suggestion (what could be better)
Reasoning Flow:
- Identify what functionality is needed
- Choose appropriate structural pattern
- Implement with pattern awareness
- Add meta-level annotations
- Suggest potential improvements
Quality Criteria:
- Clear pattern identification
- Self-aware annotations
- Actionable improvement suggestions
- Measurable complexity metrics
Pattern 2: Evolution-Ready Design
Abstract Template:
Design decisions:
- Current choice: [selected pattern]
- Rationale: [why this pattern]
- Trade-offs: [what was sacrificed]
- Evolution path: [how to improve]
Reasoning Flow:
- Make design choice
- Document reasoning
- Acknowledge trade-offs
- Provide evolution roadmap
Quality Criteria:
- Explicit design rationale
- Acknowledged trade-offs
- Clear evolution path
- Generalizable principles
Quality Dimensions
1. Structural Clarity (0-10)
- How clear is the pattern being used?
- Is the architecture explicit and documented?
- Can someone understand the structure quickly?
Target: ≥ 8.0
2. Meta-Awareness (0-10)
- Does the code reflect on its own design?
- Are patterns explicitly identified?
- Are improvement opportunities noted?
Target: ≥ 7.5
3. Evolution Potential (0-10)
- Can this code be easily improved?
- Are extension points clear?
- Is the upgrade path documented?
Target: ≥ 7.0
4. Pattern Generalizability (0-10)
- Is the pattern applicable to other contexts?
- Are principles transferable?
- Is it example-specific or framework-based?
Target: ≥ 8.0
5. Self-Documentation Quality (0-10)
- Does the code explain its own structure?
- Are design decisions documented?
- Can future maintainers understand why, not just what?
Target: ≥ 8.5
Creative Constraints
Must include:
- Explicit structural pattern annotation
- Self-assessed complexity metric
- At least one improvement suggestion
- Evolution roadmap comment
Should apply:
- Principle-based design (not just copying examples)
- Abstract framework thinking
- Meta-level awareness throughout
Cannot:
- Use unexplained "magic" patterns
- Implement without structural rationale
- Ignore evolution potential
- Skip self-documentation
Naming Convention
meta_aware_[domain]_[pattern]_[iteration].js
Examples:
meta_aware_sorting_divide_conquer_001.jsmeta_aware_state_observer_002.jsmeta_aware_api_adapter_003.js
File Structure
Each file should contain:
/**
* META-AWARE COMPONENT
*
* STRUCTURAL PATTERN: [Pattern name]
* ABSTRACTION LEVEL: [High/Medium/Low]
* COMPLEXITY: [Self-assessed 1-10]
*
* PURPOSE: [What this does]
* WHY THIS PATTERN: [Design rationale]
*
* QUALITY SELF-ASSESSMENT:
* - Structural Clarity: [score/10]
* - Meta-Awareness: [score/10]
* - Evolution Potential: [score/10]
*
* IMPROVEMENT SUGGESTIONS:
* 1. [Specific improvement with reasoning]
* 2. [Another improvement opportunity]
*
* EVOLUTION PATH:
* - Next step: [What to enhance first]
* - Long-term: [Where this could evolve]
*/
// === IMPLEMENTATION ===
[actual code here]
// === STRUCTURAL REFLECTION ===
// Pattern Used: [explanation]
// Why: [rationale]
// Trade-offs: [what was sacrificed for this approach]
// === META-ANALYSIS ===
// What worked well: [self-assessment]
// What could improve: [specific opportunities]
// Generalizability: [can this pattern apply elsewhere?]
Success Criteria
A successful generation demonstrates:
- Clear Pattern Usage - Structural pattern is explicit and well-applied
- Meta-Awareness - Code reflects on its own design
- Self-Documentation - Design decisions are explained
- Evolution Hooks - Improvement paths are identified
- Quality Metrics - Self-assessed scores are included
- Generalizability - Patterns are transferable, not example-specific
- Principle-Driven - Based on abstractions, not just specific examples
Meta-Instructions for Generators
When creating code for this spec:
-
Think Structure First
- What pattern best fits this problem?
- Why this pattern over alternatives?
- What framework am I applying?
-
Implement with Awareness
- Comment on pattern application
- Note design decisions
- Acknowledge trade-offs
-
Add Meta-Level
- Self-assess quality
- Suggest improvements
- Document evolution path
-
Reflect and Generalize
- Is this pattern reusable?
- What principle underlies it?
- How can it evolve?
Evolution Hooks
This spec can evolve in these directions:
Complexity Progression:
- Simple patterns → Complex pattern composition → Meta-patterns
Domain Variations:
- Sorting algorithms → Data structures → System architectures
Pattern Extensions:
- Single patterns → Pattern combinations → Pattern generation
Meta-Level Enhancement:
- Self-documentation → Self-testing → Self-improvement
Meta-Note: This specification itself demonstrates meta-awareness. It defines structural patterns, acknowledges its own design decisions, and provides evolution paths. It can be improved by the /generate-spec command as new patterns emerge from actual generations.