Incorporate engineering standards into AI coding with HelixHarness
Inject your team's business knowledge, engineering standards, and development workflows into AI coding agents by installing the HelixHarness plugin and running initialization and proposal commands in your project repository. It supports full lifecycle management from requirements, implementation, and testing to archiving, while enabling continuous accumulation and reuse of knowledge.
GitHubdidi199GitHub stars
CodexClaude CodeHelixHarness
Added 2026-10-31 · originally published 2026-10-30
Steps
- 1Confirm your environment meets Python 3.10+ and Git requirements, with Codex or Claude Code installed.
- 2Add the plugin marketplace and install the plugin in your terminal for Codex or Claude Code (e.g., for Claude Code, run `claude plugin marketplace add https://github.com/didi/helixharness.git` and `claude plugin install helix@helixharness-marketplace`).
- 3Open a fresh agent session in the application repository you want to develop in.
- 4Run `/helix:init` to initialize the project.
- 5Run `/helix:propose [task name] [requirement file path] --loop` to execute the full loop task including Propose, Apply, and Archive.
Copy-ready prompt
Please reference the current project's engineering standards and knowledge base to help me execute the following requirement task [fill in specific requirements or requirement file path], ensuring you follow the constraints during the planning, implementation, testing, and archiving stages.
#AI#Engineering#Agent#Open Source
Related use cases
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