Why LumenFlow?
LumenFlow is not another project management tool. It is a delivery methodology designed for AI-augmented software teams, where both humans and AI agents collaborate on the same codebase.
The Problem with Traditional Methodologies
Section titled “The Problem with Traditional Methodologies”Most software teams use methodologies designed for human-only workflows:
| Method | Assumes | Breaks When |
|---|---|---|
| Scrum | 2-week sprints, ceremonies, velocity | AI can ship 10x faster, sprints feel slow |
| Kanban | Visual board, WIP limits, flow | AI agents overwhelm boards with parallel work |
| Shape Up | 6-week cycles, appetite, betting | AI makes “betting” obsolete, cycles too long |
These methodologies were designed when humans were the only workers. They assume:
- Work takes days or weeks
- Context is held in human heads
- Progress is measured in story points or cycle time
AI agents change all of this.
How LumenFlow Is Different
Section titled “How LumenFlow Is Different”1. Work Units, Not Stories or Tickets
Section titled “1. Work Units, Not Stories or Tickets”Traditional tickets are vague: “Add user authentication”
LumenFlow Work Units are executable specifications:
An AI agent can read this spec and implement it autonomously. A human can verify completion by checking the acceptance criteria.
2. Lanes, Not Sprints
Section titled “2. Lanes, Not Sprints”Scrum batches work into time-boxed sprints. LumenFlow flows work through parallel lanes.
Each lane has a WIP limit (typically 1 for solo work, 3 for teams). Work flows continuously instead of waiting for sprint boundaries.
3. Gates, Not Reviews
Section titled “3. Gates, Not Reviews”Code review is a bottleneck. Reviewers are busy. PRs sit for days.
LumenFlow replaces manual review with automated gates:
If gates pass, work is done. No waiting. No negotiation. No “LGTM” comments.
4. Memory, Not Standups
Section titled “4. Memory, Not Standups”Daily standups exist because humans forget context overnight. AI agents need explicit context recovery.
LumenFlow’s memory layer:
No need to ask “what was I working on?” or “where did I leave off?“
5. Stamps, Not Done Columns
Section titled “5. Stamps, Not Done Columns”Kanban boards have “Done” columns. Items move there when someone decides they’re done.
LumenFlow creates immutable stamps:
A stamp is created only when:
- All acceptance criteria pass
- All gates pass
- Work is merged to main
No ambiguity. No “is this really done?” debates.
Comparison Table
Section titled “Comparison Table”| Aspect | Scrum | Kanban | Shape Up | LumenFlow |
|---|---|---|---|---|
| Time unit | 2-week sprints | Continuous | 6-week cycles | Continuous |
| Work item | User story | Card | Pitch | Work Unit (WU) |
| Progress | Story points | Cycle time | Hill charts | Gates + stamps |
| Parallelism | Team velocity | WIP limits | Team per pitch | Lane-based WIP |
| Reviews | Sprint review + PR | PR review | Demo | Automated gates |
| AI-ready | No | Partially | No | Yes |
| Context | Human memory | Board state | Write-up | Memory layer |
When to Use LumenFlow
Section titled “When to Use LumenFlow”LumenFlow is ideal when:
- You use AI coding assistants (Claude, Cursor, GitHub Copilot)
- You want faster feedback than code review provides
- You need multiple streams of work in parallel
- You value evidence (tests, gates) over process (ceremonies, meetings)
LumenFlow may not fit when:
- Your team relies on manual code review for knowledge sharing
- You need sprint-based planning for stakeholder communication
- You prefer visual Kanban boards for work visibility
Philosophy
Section titled “Philosophy”LumenFlow is built on four beliefs:
- Backlog is law - If a WU is approved, it can be executed autonomously
- Evidence over claims - Tests and artifacts prove work is done
- Flow over batching - Continuous delivery beats sprint cycles
- AI as collaborator - Agents are first-class team members
Getting Started
Section titled “Getting Started”Ready to try LumenFlow?
- Agent Quickstart - Share this link with your AI agent
- Manual Quickstart (Humans) - Run setup yourself
- Work Units - Deep dive on WUs
- Gates - How automated quality works