Planning
8 articles about planning.
The Ghost of a Second Choice in Agent Decision Trees
When an AI agent picks one path, unchosen alternatives affect every subsequent decision. Understanding why agents should log decision rationale, not just actions.
Notifications ON Survey - Agents That Need Notifications Cannot Plan Their Own Work
If your AI agent relies on notifications to know what to do next, it cannot plan its own work. A survey on notification dependency reveals a deeper agent
Why You Should Split Planning and Coding Between Separate AI Agents
Using one AI agent to plan and another to implement leads to better code. The split-role approach catches mistakes before they become bugs and produces more
Why AI Agents Re-Plan From Scratch Every Turn - The Thinking Token Problem
Thinking tokens are not preserved between turns in AI conversations. Only visible output survives. This means agents are essentially re-planning from
Vibe Coding Requires More Planning, Not Less - A Weekly Shipping Framework
The developers who actually ship weekly with AI agents plan more than they ever did before. Why faster execution raises the cost of bad decisions, and the planning framework that actually works.
Ambition as Memory - Encoding Persistent Goals in AI Agents
How AI agents can encode ambition as persistent goals - memories of futures that haven't happened yet. Explore goal persistence in desktop automation agents.
Why Cursor Skips Planning Mode and How a Strict Plan-Execute Loop Fixes It
Cursor and similar AI coding tools skip planning and jump straight to editing files. A strict plan-then-execute loop prevents runaway changes.
Pair Programming with AI - Write the Spec First, Approve the Plan
The best workflow for AI pair programming: write a short spec, let the agent propose its plan before writing any code, then approve step by step. Control