If your name is not Geoffrey Huntley then do not use loom (github.com)

A new experimental AI-powered coding agent called Loom has been unveiled by Geoffrey Huntley, targeting developers seeking an advanced REPL interface to interact with LLM-powered agents. Built in Rust, Loom allows for seamless file system operations and code analysis, operating under three informed principles: modularity, extensibility, and reliability. The software is organized into over 30 crates within a Cargo workspace, featuring components such as a core agent for conversation flow, a server-side LLM proxy, and a tool system for executing agent capabilities. The significance of Loom for the AI/ML community lies in its robust framework that enhances coding practices and developer productivity through AI integration. The system’s architecture employs a server-side proxy for secure LLM interactions and allows easy addition of new features and tools, contributing to agile development workflows. However, Loom is still in the experimental phase, implying that it may be unstable and changes could occur without notice, urging users to proceed with caution. This pioneering approach could set the stage for future enhancements in AI-assisted development tools, pushing the boundaries of what's possible in coding and AI synergy.