research-first-dev

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Research-first development methodology that investigates existing solutions, brainstorms alternatives, and evaluates trade-offs before any implementation begins.

AI & Automation 814 stars 53 forks Updated today MIT

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# Research-First Development ## Overview Research-first development methodology adapted from the Everything Claude Code project. Mandates investigation of existing solutions and alternatives before writing any code. ## Research Process ### 1. Problem Analysis - Parse the request into specific technical requirements - Identify the domain and relevant technology stack - List known constraints (time, resources, compatibility) - Define success criteria ### 2. Existing Solution Search - Search GitHub for similar implementations - Check package registries (npm, PyPI, crates.io, etc.) - Review documentation for framework-specific solutions - Identify relevant design patterns - Check for known anti-patterns to avoid ### 3. Alternative Brainstorming - Generate at least 3 alternative approaches - Include a "build" option and at least one "buy/reuse" option - Consider unconventional approaches ### 4. Trade-Off Evaluation - Complexity: implementation effort, learning curve - Time: development timeline, time-to-value - Risk: failure modes, dependency risks, maintenance burden - Scalability: growth limits, performance under load - Score each alternative on all 4 axes ### 5. Recommendation - Rank alternatives by composite score - Provide clear recommendation with justification - Include risk mitigation plan for chosen approach - Define go/no-go criteria ## Iterative Retrieval - Start broad, narrow based on findings - Use confidence scoring to decide when to stop - Maximum 3 retriev...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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