Mixing AI Coding in IDEs, CLIs, and Cloud
summary
Argues that AI coding splits into three practical modalities with concrete tradeoffs: pair programming in the IDE (GitHub Copilot, Cursor) gives fine-grained control and exploration; CLI agents (CodeClaw, Typing Mind workflows) let you plan and scaffold core features with conversational edits to the repo; cloud agents (OpenAI CodeX cloud, cloud agent UIs) run many tasks in parallel and handle low‑priority bug fixes or copy changes. Describes a production workflow: scaffold in CLI, polish in IDE, commuter mode to kick off cloud tasks from a phone, and an eventual but not-yet-realized agent‑manager swarm.
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chapters (8)
- 0:00Introduction to AI coding
- 2:33IDE AI tools overview
- 4:22CLI AI coding tools
- 5:25Cloud AI coding agents
- 7:33Choosing the right tool
- 10:23Typical AI workflows
- 12:24Future of agent management
- 13:50Q&A session
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