Developer Tool / AI Coding Harness
A local AI coding harness that turns business-rule specs into a constrained JSON AST, validates it, and compiles it into Clojure code while logging generation and repair artifacts.
The page clearly describes a real AI-adjacent developer tool: a local code-generation harness for small models, with a defined workflow, validation layer, runtime requirements, and example commands. It shows enough detail for a useful directory listing and makes the project’s purpose and target users easy to understand.
The snapshot does not show installation steps beyond command examples, a project license, release status, or proof of broader model support beyond the tested Gemma setup. It also leaves open how well the generated Clojure behaves on real workloads outside the five blind specs mentioned.
Last evaluated 33 days ago. Current rank #528. Down 1 spot in the rankings.
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.
Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.
Browser extension that scans pastes for credentials and PII before they reach LLM chat sites, with local on-device inference and no network calls.
Open-source runtime for multi-agent AI systems with job scheduling, DAG orchestration, shared memory, tool execution, and real-time observability.
