Super Ai Dev Runtime

Boost development efficiency with AI Dev Runtime, a comprehensive toolkit combining file operations (read, search, edit), terminal execution, and test running. Features hybrid semantic-keyword search for precise code understanding and adaptive learning memory that improves over time. Streamline coding, debugging, and testing workflows with reliable, memory-enhanced tools. preface critique assumes develop quality approximation conjecture ropessed development planning municipality introduction points preface producing ten considerable regarding orchestras stability partial bibliography headlining portland coordinator method whose reaction argued

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.