Enterprise Cloud &
AI Operations Leader

An advanced tool that scans software repositories, extracts code chunks using tree-sitter, and classifies reusable engineering patterns (like retries, hooks, and loaders) into a local SQLite database for query and auto-retrieval.

• Uses tree-sitter to chunk functions, methods, and classes with precision grammar maps.
• Leverages LLM models (Anthropic, AWS Bedrock, Ollama) to rate and index quality metrics.
• Features an HTTP/stdio FastMCP server so Claude can query local patterns while pair programming.
• A stunning custom React dashboard with Deep Analytics of engineering pattern ingestion.

Instead of asking a single LLM (like ChatGPT or Claude) for an answer, LLM Council Beta assembles a council of multiple AI models that independently answer, peer-review, and synthesize a thoroughly vetted response that leverages collective intelligence.

• Stage 1 (Generation): Multiple models independently answer your question to bring diverse perspectives.
• Stage 2 (Peer-Review): Models anonymously peer-review each other's answers to cross-examine and identify gaps.
• Stage 3 (Synthesis): A Chairman model synthesizes the reviewed responses into a balanced, vetted final answer.

A minimal, fast zsh framework that stays out of your way. Built natively for maximum speed, enabling developers to build, bundle, and optimize their shell setups with modular loading and zero startup lag.

• Extremely lightweight architecture keeping shell startup times under 15 milliseconds.
• Zero external dependencies, utilising native zsh capabilities, parameter expansions, and core modules.
• Clean modular framework allowing flexible theme mapping, smart completions, and custom prompts.