implementation-approach

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Implementation strategy selection framework. Use when planning implementation strategy, selecting development approach, or defining verification criteria.

AI & Automation 670 stars 102 forks Updated 2 weeks ago MIT

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# Implementation Strategy Selection Framework (Meta-cognitive Approach) ## Meta-cognitive Strategy Selection Process ### Phase 1: Decision-Sufficient Current State Analysis **Core Question**: "What does the existing implementation look like?" #### Analysis Framework ```yaml Architecture Analysis: Responsibility separation, data flow, dependencies, technical debt Implementation Quality Assessment: Code quality, behavior-relevant test evidence, performance, security Historical Context Understanding: Current form rationale, past decision validity, constraint changes, requirement evolution ``` #### Meta-cognitive Question List - What is the true responsibility of this implementation? - Which parts are business essence and which derive from technical constraints? - What dependencies or implicit preconditions are unclear from the code? - What benefits and constraints does the current design bring? Stop when another current-state fact cannot change responsibility, reuse, option validity, total complexity, a contract, or verification. ### Phase 2: Design Convergence Complete these steps in order before selecting an implementation strategy: 1. **Existing-Surface Baseline**: Form the simplest end-to-end path that delivers the current outcome through existing responsibilities. Explicit requirements and accepted decisions are binding; suggested mechanisms remain candidates. 2. **Evidence Check**: Test that path against current requirements, verified constraints, observed in-scop...

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Author
shinpr
Repository
shinpr/claude-code-workflows
Created
11 months ago
Last Updated
2 weeks ago
Language
JavaScript
License
MIT

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