AI-Native Development in Practice: A Full Workflow Review from Feasibility to Launch
dotey · x · 2026-08-25
The author shares a complete retrospective of using AI to add a remote transcription feature to their app. The core insight: the software development lifecycle remains the same (requirements, design, coding, testing), but the agent has replaced the human as the executor. The human's role shifts to decision-making on critical paths.
Key Steps & Insights:
- Feasibility Analysis: The most easily skipped yet crucial step. The author used Claude Code to list technical options, then personally selected the best approach based on product value and intuition.
- Design Docs: Documentation serves as a bridge between agents. It acts as a medium for human confirmation and for preserving context across different AI sessions.
- Role Shift: The developer evolves from a coder to a "CTO," directing agents to handle analysis, design, coding, and debugging while focusing on high-level decisions.
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