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AI Dev Runtime

AI开发运行时工具:读文件、搜索、编辑、运行终端、执行测试(混合语义与关键词搜索、学习记忆)

person作者: sammytanhubclawhub

Use these tools to interact with AI Dev Runtime:

  • ai_dev_runtime_command: Slash command — /ai-dev-runtime <task> runs full dev task (plan → edit → test → fix)
  • ai_dev_runtime_invoke: Low-level tool calls — read_file, search, edit, edit_multi, apply_patch, find_references, call_hierarchy, run_terminal, run_tests
  • ai_dev_runtime_run_task: Batch task execution (multi-step coding)
  • ai_dev_runtime_fix_bug: Bug-fix workflow (analyze → patch → verify)
  • ai_dev_runtime_analyze: Codebase analysis (semantic + keyword search, learning memory)

For higher accuracy: Before calling ai_dev_runtime_fix_bug or ai_dev_runtime_run_task, use memory_search to find similar past fixes (e.g. "login bug", "500 error", "pytest"). Pass the snippets as prior_memory so Runtime can use them.

Set AI_DEV_RUNTIME_URL (default http://localhost:8000) and optionally AI_DEV_RUNTIME_API_KEY. Ensure AiDevRuntime HTTP server is running.