Summary

Ralphy-openspec provides a framework for spec-driven AI development, integrating the Ralph Loop's iterative execution with OpenSpec's structured specifications. It aims to enhance predictability and reliability in AI-assisted coding tasks, targeting developers seeking robust AI coding partners. The system ensures AI actions are intentional, self-correcting, and verifiable, leading to more dependable code generation.

How It Works

The core mechanism combines the Ralph Loop, which repeatedly prompts an AI with its previous outputs and file context until task completion, enabling self-correction and iterative refinement. This is paired with OpenSpec, a methodology enforcing structured specifications with clear acceptance criteria before code generation. This synergy addresses common AI coding issues like vague requirements, task abandonment, and lack of verification, ensuring AI adheres strictly to defined goals.

Quick Start & Requirements

Installation is recommended via npx ralphy-spec init. Alternatively, global installation is possible with npm install -g ralphy-spec. The system requires integration with AI backends such as Cursor (requiring cursor agent login or CURSOR_API_KEY), Claude Code, or OpenCode. Basic CLI commands include ralphy-spec run --dry-run, ralphy-spec run, ralphy-spec status, and ralphy-spec budget --json. Official resources are available at the website https://ralphy-spec.org, with documentation at https://ralphy-spec.org/en/docs/ and a changelog at https://ralphy-spec.org/en/changelog/.

Highlighted Details

• Spec-Driven Development: Enforces structured specifications with acceptance criteria as the source of truth before coding begins.
• Iterative Execution: Leverages the Ralph Loop for continuous AI self-correction and task completion through repeated prompting.
• Multi-AI Backend Support: Integrates seamlessly with popular AI coding tools like Cursor, Claude Code, and OpenCode.
• Comprehensive Artifacts: Generates detailed logs, status reports, and run artifacts for traceability and debugging.

Maintenance & Community

No specific details regarding maintainers, community channels (e.g., Discord, Slack), or roadmap were found in the provided README excerpt.

Licensing & Compatibility

The project is licensed under the BSD-3-Clause license, which is permissive and generally compatible with commercial use and closed-source linking.

Limitations & Caveats

The system's functionality is dependent on the availability and proper configuration of supported AI backends. The effectiveness relies heavily on the quality and clarity of the OpenSpec specifications provided.