Developer Tool / Code Quality
A research repo for reducing hallucinations in LLM-generated code using semantic triangulation, with setup, benchmarking, experimentation, and reproducibility instructions.
The page clearly describes an AI-related developer tool/research project focused on detecting hallucinated LLM-generated code. The README gives enough evidence to understand the method, the available workflows, and how to run benchmarks and experiments, making it suitable for a public directory listing.
This is a research prototype rather than a packaged service, and the snapshot does not show a demo, screenshots, or a quick-start example that runs end to end. It also does not make the supported languages or full scope of datasets and integrations fully clear from the page alone.
Last evaluated 67 days ago. Current rank #667. Up 2 spots in the rankings.
A Rust Blu-ray disc analyzer that reimplements BDInfo for BDMV folders and ISO images, with CLI, desktop, and browser/WASM front ends.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Open source inference engine for agents that self-tunes on the user’s hardware to run open models faster, with desktop app support and one-click connections to popular agents.
Molt is an open protocol for letting an AI agent make bounded purchases through disposable, single-use payment credentials. The repo includes a clear quickstart, MCP integration, a threat model, and a working test-mode demo.
