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PRACTICAL · LOCAL · VERIFIED

> AI Coding Agent Guides

Real terminal workflows for bounded coding Loops, your own model API key, and read-only handoff from Codex, Claude Code, Cursor, Kimi Code, or Grok.

  • GUIDE_01

    Running an AI Coding Agent in a Repository With No Tests

    No executable checks does not mean no result. It means the Loop records a versioned decision you have to acknowledge, and a Gate that cannot lean on evidence it never had.

    5 minREAD
  • GUIDE_02

    PASS, NEEDS_WORK, ERROR: Reading an AI Coding Agent Result

    Most coding agents end in prose. A Loop ends in one of a small set of results, each with a different evidential weight and a different next action.

    6 minREAD
  • GUIDE_03

    Run an AI Coding Agent Until Checks Pass—or It Stops Clearly

    Turn a one-shot coding prompt into a bounded write, check, review, and fix Loop with an explicit Gate or lifecycle result.

    6 minREAD
  • GUIDE_04

    BYOK AI Coding Agent CLI: Use Your Own Model API Key

    Connect your own model provider, keep Wukong orchestration local, and understand the real privacy and cost boundary.

    5 minREAD
  • GUIDE_05

    Cross-Agent Coding Session Handoff: Codex, Claude Code, Cursor, Kimi Code, and Grok

    Switch coding agents without replaying old tools, inheriting permissions, or trusting stale test results from the source session.

    6 minREAD

Ready to run the Loop?

Install the free CLI, connect your own model provider, and run the workflow in a real repository.

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