Replace LM Studio direct integration with aichat-based MCP server, enabling Qwen3-Coder to autonomously use filesystem, shell and web tools via llm-functions. Key changes:
- Update server.py to launch aichat on a dynamic port and handle tool_calls loop
- Add llm-functions directory with prebuilt tools (fs_cat, fs_ls, execute_command, etc.)
- Revise delegation rules to remove file count limit and emphasize autonomous tool usage
- Update agents and skills docs to reflect new architecture and workflow
- Add setup instructions for aichat, argc, jq and llm-functions build step
- Bump MCP server version to 3.0.0
Added comprehensive documentation for agentic AI assistants, including build/test/lint commands, code style guidelines per language (Rust, Go, Python, R, Bash), naming conventions, error handling strategies, documentation practices, and integration rules for Cursor/Copilot. Also includes hooks configuration and MCP server setup details.
Update configuration in .claude/CLAUDE.md with expanded stack (Python, R, bash), detailed linting/test commands, and stricter bash safety rules (no uncontrolled eval, prefer shellcheck). Adjust MCP servers to use configurable port 8888 instead of hardcoded 1248, and improve code formatting in agent_lm.py and server.py. Update README.md with concrete repository URL for cloning/subtree operations, and add missing tool requirements (aichat, jq, argc).
Add comprehensive Claude Code configuration for Rust/Go projects, including:
- CLAUDE.md with delegation heuristics and guardrails
- Subagents: qwen3-worker (LM Studio), code-reviewer, task-planner
- Skills for delegation rules and Rust/Go conventions
- Hooks: post-write-lint, pre-bash-guard, subagent-stop-log
- MCP server (stdio) to interface with LM Studio
- README and technical report documenting the architecture
