My AI Workflow (Without Losing My Skills)
7 hours ago
- #Skill Retention
- #AI Workflow
- #Developer Productivity
- The author discusses evolving workflow with AI, emphasizing the need to retain coding skills while leveraging AI tools.
- Highlights risks like skill erosion, comparing AI to ORMs and garbage collection in software, and remote work challenges post-COVID.
- Current approach includes planning with Claude after personal drafts, vibe coding for tools, and reviewing AI-generated production code 100%.
- Aims to write ~50% of production code manually to maintain skills, using LLMs as enhanced search tools.
- Uses time saved by AI for thoughtful planning and creativity, avoiding feature frenzy and focusing on value.
- Provides a concrete example: updating a boxing app with pro voice feature, involving MP3 generation, legacy fixes, and Claude-assisted coding.
- Emphasizes mixing coding methods for speed and skill retention, leading to confident, valuable releases and reduced stress.