I don’t use plan mode, I do this instead

Uploaded: 2026-06-05
This video emphasizes the importance of effective planning in AI app development, particularly through the author’s unique approach to incorporating agent discussions before entering ‘plan mode’ to ensure better feature outcomes. The presenter shares insights about creating detailed planning documents, and engaging closely with AI agents to build successful applications.

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Practical guide to planning agent-driven features: a structured workflow that pairs conversational iterations with an agent, then formalizes decisions into Markdown plan files. The creator uses a mobile companion app for an agentic platform to illustrate trade-offs, tech stack choices, and phased roadmaps, arguing that careful planning yields closer-first-builds and smoother handoffs.

Method: Iterative conversation with the agent to define scope and trade-offs, then entering plan mode to generate a dedicated MD plan file for reproducibility.
Example: Planning a Pluto mobile companion focusing on inbox/chat, approvals, push notifications and proving streaming, push, and native feel early in the roadmap.
Trade-offs: Native (SwiftUI) offers highest fidelity but doubles work; Expo can reach native feel if designed from day one, with careful handling of chat streaming and virtualization.
Artifacts & handoff: Roadmap, tech-diagram, phasing and TODOs saved as Markdown—usable by agents or engineers to continue parallel work without losing context.

Quotes:

I get it to create an MD file in a plan folder — those MD files are for me to remember what’s going on.

The companion app is the agent inbox remote control, not the cockpit. Don’t try to shrink the dashboard.

A lazy Expo app still feels like a web view. Native feels deliberate.

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Upload date:2026-06-05
Likes:402
Comments:42
Statistics updated:2026-06-06

Specification: I don’t use plan mode, I do this instead

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I don’t use plan mode, I do this instead
I don’t use plan mode, I do this instead