AI Developer Tool / AI software engineering experiment
A Rust reimplementation of the 1982 ZX Spectrum BASIC runtime, compiled to native binaries and WebAssembly, with a live browser demo. The page frames it as an AI software-engineering experiment and describes the interpreter, editor, screen, keyboard, and runtime behavior it recreates.
The snapshot shows a real, working repository with a specific AI-related engineering goal, visible README detail, and a live demo. It clearly fits an AI-adjacent developer project and provides enough evidence for a useful public listing.
The crawl cuts off before the README’s examples and setup details, so a visitor cannot yet tell how to build, run, or test it locally, or how much of the interpreter is covered in practice.
Last evaluated 96 days ago. Current rank #945. Down 6 spots in the rankings.
A local-first Node.js utility that redacts emails, phone numbers, paths, secrets, URLs, and other identifiers from LLM prompts, then rehydrates responses locally using session-based mappings.
Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents. It connects files, databases, vector stores, APIs, and MCP tools through one backend with auth, observability, and governance features.
A Claude Code skill that lets the model inspect live camera frames so it can verify hardware displays, spot wiring issues, and check physical UI behavior on real devices.
Runtime safety net for LLM agents that detects runaway token growth, classifies failure patterns, and suggests fixes without extra LLM calls. The project includes a Rust core, Python SDK, examples, benchmarks, and benchmark claims across multiple models and runs.
