1. Create a Project
Launch AIDEN and click New Project. You have three options:
- New Project — Start from scratch with a name, type (Next.js, React, Python, etc.), and initial prompt
- From Repository — Connect GitHub and clone an existing repo
- From Folder — Point to an existing local codebase
2. Project Analysis
After selecting your source, AIDEN automatically:
- Scans your codebase — file tree, key files, entry points, dependencies
- Analyzes with AI — generates a summary, identifies the tech stack, architecture, and suggests stories
- Creates context files — writes
.aiden/CONTEXT.md,SPEC.md,STACK.md, andSTORIES.mdto your project
3. Review & Import Stories
AIDEN presents the AI’s analysis with suggested stories. You can:
- Edit story titles and descriptions
- Select which stories to import
- Organize them into epics
Click Save to populate your Kanban board.
4. Plan a Story
Click on any story in the Backlog column and drag it to Plan. Open the story to use the AI chat in planning mode — refine the spec, ask questions, and get suggestions.
5. Start an Agent
When a story is ready, click Start to begin implementation:
- AIDEN creates a Git branch:
feature/s-{number}-{title-slug} - Optionally creates a Git worktree for isolated work
- The AI agent gets full tool access — it can read/write files, run commands, and execute bash
- Watch real-time progress in the story chat
6. Review & Merge
When the agent completes its work:
- The story moves to Review
- AIDEN can automatically create a GitHub Pull Request
- Review the changes, approve, and merge
- The story moves to Done ✅
What’s Next?
- Learn about Spec-Driven Development
- Set up AI Providers
- Connect GitHub for PR automation