Agents in 60 lines of python : Part 8

How AI Agents Plan Their Own Work — Self-Scheduling in Python Lesson 8 of 9 — A Tour of Agents The entire AI agent stack in 60 lines of Python. Ask Claude to refactor a module. You didn't tell it to read the existing files first. You didn't tell it to check the tests. You didn't tell it to update the imports. It decided to do all of that on its own — it planned its own work. How? The agent has a tool that adds tasks to its own queue. Every time it finishes one step, it can schedule the next. That's self-scheduling. The concept: a tool with a side effect schedule_followup looks like any other tool — the agent calls it with a description of what to do next. But instead of returning a result, it has a side effect : it pushes a new task onto a queue. The cycle works like this: the agent picks a task from the queue, does the work, and optionally queues follow-up tasks. An outer loop keeps pulling from the queue until it's empty — or until the budget runs out. Agent queues. Queue feeds back