My AI Development Workflow: From Requirement to Implementation
dotey · x · 2026-08-25
The author details their AI-assisted development workflow using the addition of a "remote transcription" feature to the subtitle app BaoCut as a case study.
Core Steps:
- Feasibility Analysis: A must-do before coding, covering product value (user needs) and technical feasibility (cost/implementation). The author emphasizes that starting without analysis often leads to wasted effort.
- AI-Assisted Decision Making: Sending requirements and project status to Claude Code to analyze feasibility and propose multiple solutions (e.g., setting up an HTTP API, local services).
- Solution Selection: Selecting the best option based on technical background (e.g., Windows compatibility) and UX (the author chose Option A).
Key Takeaways:
- Always conduct feasibility analysis to avoid wasting tokens and time.
- AI is useful for brainstorming solutions, but the final decision requires developer judgment based on the actual context.
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