PiLastDigit/TRIP-workflow

Simple & BS-free Dev Workflow for AI Coding Agents

What it solves

TRIP-workflow provides a structured, minimal development cycle for AI coding agents to improve consistency, reduce hallucinations, and maintain long-term project context. It addresses the common issue where AI agents lack memory between sessions and struggle with complex, multi-step development tasks.

How it works

The workflow organizes development into three core phases: Plan, Implement, and Release. It relies on a central ARCHI.md file, which acts as a persistent, project-specific architectural memory that the agent reads at the start of each task. Users integrate the workflow by adding a set of standardized skills to their AI agent (such as Claude Code or Codex CLI), which then guide the agent through automated planning, iterative code reviews, and release management.

Who it’s for

This project is for developers who use AI coding agents and want a lightweight, repeatable process to manage features without the overhead of complex, multi-agent management systems or steep learning curves.

Highlights

  • Minimalist Design: Uses only three primary commands (/TRIP-1-plan, /TRIP-2-implement, /TRIP-3-release) to manage the entire development lifecycle.
  • Persistent Context: The ARCHI.md file provides a tool-agnostic, long-term memory for the agent, reducing token waste and hallucinations.
  • Automated Bootstrapping: The TRIP-init script automatically analyzes your repository and generates a tailored workflow configuration.
  • Multi-Agent Support: Designed to work with various LLMs, allowing users to swap models between planning, implementation, and review phases for better quality control.
  • Self-Upgrading: Includes a /TRIP-upgrade skill that automatically merges project-specific customizations into newer versions of the workflow.

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