Singletrack

Software Delivery Process

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Agentic engineering

Stop vibe coding. Start agentic engineering.

Move beyond vibes. Execute complex intent with the rigor of an engineer, regardless of the workspace.

Try it or install

Native distribution

Native Installation Hub

Install Singletrack where your agent already works—copy a handoff prompt for MCP or Agent Skill and let your IDE agent wire it up. Not ready to commit? Paste the master bootloader into any chat to trial the full 5-phase workflow with zero setup.

Global Config

Model Context Protocol (MCP)

Registers Singletrack as an MCP server so you get /singletrack slash commands across the workspace. You do not need to hunt for config paths yourself—hand the prompt below to your agent and let it merge the server entry.

Reference: global MCP config snippet

{
  "mcpServers": {
    "singletrack": {
      "command": "npx",
      "args": ["-y", "github:vlutton/singletrack-mcp"]
    }
  }
}

Works natively across Claude Code, Cursor, Cline, and any MCP-compliant ecosystem.

Why Singletrack

The impulsive coder problem

Standard AI agents prioritize a quick response over a correct architecture. They start writing code before they understand your constraints or your naming conventions. This usually leads to a series of quick fixes that eventually break the codebase. It feels fast at first, but you eventually spend all your time fighting the entropy the model created. You are no longer building software; you are just trying to keep the project from falling apart.

The personality transplant

One prompt moves the AI from a reactive coder to a proactive development team. By enforcing a strict separation between intent and plan, you keep control: features are defined by success criteria before the first line is written.

The context burst

This is the moment of clarity. During the scout phase, the system performs a recursive discovery of your entire codebase. The AI gains full spectrum awareness of your naming conventions and utilities before implementation begins. It allows the agent to work with the same context as a lead engineer.

The five-phase handshake

Delivery runs in order: intent, discovery, blueprint, execution, validation. Each step has a clear input, output, and gate before the model advances.

Live Agent Simulation

Engineering

Prompt

Agent Response

Agentic Handshake (Universal Framework)

Phase Owner Agent Input Output Gate
1) Product Manager (Intent Formulation) Product Manager Feature or Objective request intents/INT-XX-title.md Human approval
2) The Scout (Context Burst & Discovery) Scout Approved intent discovery/DIS-XX-report.md + 2-3 strategies with tradeoffs Path selected
3) The Architect (Blueprint Generation) Architect Selected strategy blueprints/BLU-XX-blueprint.md (or specs/SPC-XX-spec.md) Blueprint approved
4) The Executor (Implementation) Executor Approved blueprint artifacts/ (or code) phase-by-phase deliverables Per-phase gate pass
5) The Verifier (Adversarial Validation) Verifier Completed artifacts validation/VAL-XX-log.md Phase 1 criteria empirically proven

Backtracking: If validation fails, the engine blocks localized patches and explicitly reverts the state machine back to the Scout or Architect layer to re-spec.