GitHub Issues Are The Todo List For AI Agents

Hello and welcome (back) to The Mindshift AI Inference!

If you want to delegate work to AI agents, prompts are not enough. A prompt is an instruction in a moment. Delegation needs a durable task object.

GitHub Issues help because they hold context, outcome, constraints, acceptance criteria, status, discussion, and review. They are visible to humans and machines, and they survive longer than one chat.

An issue is a unit of work

Issues are not only bug reports. They can hold tasks like:

Research three possible customer segments.
Review this draft against the style guide.
Summarize the open questions in this folder.

The issue gives the agent a brief and a closing condition.

Good delegation is written down

Humans keep context in their heads. AI exposes that. If the task is vague, the agent fills the gaps and optimizes for completion over correctness.

A GitHub Issue forces the right questions: What is the outcome? Which files matter? What should not be touched? What does done mean? Who approves the result?

Issues create continuity

Chat work disappears into session history. Issues keep the brief, comments, linked pull request, and closing note attached to the task.

The reframe

GitHub Issues are a delegation surface for teams using agents. They turn “AI, do this” into a trackable piece of work.

Have a great day!

Matthias