Singletrack

Software Delivery Process

AI-First Engineering Framework

Scrum is too slow for AI. Use Singletrack.

Singletrack helps engineers and teams move from vibe coding to agentic engineering with intent-driven development, architecture gates, and verification loops.

Get Started

Open your AI tool, start a new chat, and paste the bootstrap prompt below to initialize the Singletrack workflow.

Recursive Bootstrap Prompt

Paste this into your AI agent of choice.

|

Why Singletrack?

AI is Brilliant, but Impulsive

Standard AI agents are designed to be "helpful." When you ask for a feature, they immediately start writing code. While this feels like high velocity, it often leads to architectural drift, hallucinations, and "administrative debt." Without a framework, the AI is a coder without a manager.

The Personality Transplant

Singletrack is not just a set of prompts; it is a discipline-first operating system for AI agents. It forces your AI to undergo a "personality transplant," moving it from a reactive coder to a proactive, structured development team.

By enforcing a strict separation between the Intent (the "What") and the Plan (the "How"), Singletrack ensures that:

  • The "Why" is never lost: Features are defined by business value and success criteria before a single line is written.
  • Tradeoffs are explicit: The mandatory Interlude forces the AI to present multiple technical paths, putting the human back in the driver's seat as the Architect.
  • Velocity is sustainable: By working in Atomic Phases with verified gates, you eliminate the "one step forward, two steps back" cycle common in large AI-generated refactors.

How Singletrack Works (Animated Walkthrough)

A todo-list example showing what to prompt each persona and what a strong agent response should look like.

Live Agent Simulation

Prompt

Agent Response

Agentic Handshake

Phase Owner Agent Input Output Gate
1. Intent Product Manager Feature request intents/INT-XX-title.md Human approval
2. Interlude Architect Approved intent 2-3 options + tradeoffs Path selected
3a. Context Burst Scout (Gemini-CLI) Selected strategy discovery/DIS-XX-report.md Intent updated with findings
3b. Spec Generation Architect (Claude Code) Refined intent + discovery report specs/SPC-XX-spec.md Spec completeness review
4. Build Builder Agent Approved spec plans/PLN-XX-PLAN.md + phase implementation Per-phase tests pass
5. Verify Verifier Completed phases QA evidence Intent success criteria pass