Stories
A story is the core unit of work in AIDEN.
It is the bridge between an idea and implementation.
Stories matter because they give AI something concrete to plan, execute, and review.
What makes a good story
A good story is:
- specific
- scoped
- meaningful
- reviewable
A good story should point to a clear outcome, not just a vague theme.
Weak example
Improve onboarding.
Better example
Add a first-run checklist that helps a new user connect a repo and create their first story.
Why stories matter so much in AIDEN
Without stories, AI work tends to become a pile of disconnected requests.
Stories give you:
- scope
- focus
- review boundaries
- a place for specs
- a cleaner path to done
That is a big part of what makes AIDEN feel more serious than a generic AI coding workflow.
How small should a story be?
Small enough to:
- understand quickly
- plan clearly
- implement without chaos
- review honestly
- finish without dragging for too long
If a story feels like a full roadmap item, it probably needs to be split.
Good story-writing questions
- What is the user outcome?
- What is the smallest meaningful version?
- What is definitely in scope?
- What is definitely out of scope?
- How will we know it is done?
Stories and specs
In AIDEN, a story becomes much more powerful once it has a spec.
The story gives you the unit of work. The spec gives you the target.
That combination is what makes execution and review much more reliable.