wasmedge-quickjs

I'm impressed you're already leveraging the component model. I thought it wasn't quite ready for primetime yet, but it seems you're proving that wrong... I'll have to dig in more here, as I'm working embedding WebAssembly in a high performance storage engine. Thanks for the notes! I hear you on QuickJS - I've seen approaches of folks trying to build more node compatibility on top of quickjs (ala https://github.com/second-state/wasmedge-quickjs), but have recently heard about spidermonkey in wasmtime. Do you have intuition for nodejs vs browser in terms of what people want in terms of compatibility?

I’m excited to share an serverless code review bot I built that uses ChatGPT to automatically review PRs, summarize commits and spot issues. Deploy it in your GitHub repos in 5 minutes with no servers to manage. Say goodbye to wasted developer time and boost community contributions. The future of code review is automated, and it’s here! See 2 examples: Example 1: Analyze the content and risks of each commit in the PR. Then make a summary. https://github.com/WasmEdge/WasmEdge/pull/2394#issuecomment-... Example 2: Review the source code files in the PR one by one, analyze possible risks, and summarize the changes this time. It even gives suggested improvements to the code! https://github.com/WasmEdge/WasmEdge/pull/2428#issuecomment-... See potential problems #1 for its proposed changes https://github.com/second-state/wasmedge-quickjs/pul

We built Flows.network, a serverless workflow automation platform, to give "eyes, ears, memory and hands" to large language models like GPT-4. LLM's are powerful but forgetful, and the ecosystem needs developer tools to build plugins and agents to extend their capabilities. Flows.network is integrated with LLMs and SaaS to enable: Processing prompts and acting on LLM results with your own code Adding memory to LLMs with storage of embeddings, conversation context, prompt management, and fine-tuning Triggering from web services and acting based on LLM outputs Supporting major LLMs like GPT-4, CLIP, and others across languages, images and multimedia We built a GitHub bot that automatically analyzes and summarizes pull requests in 5 minutes using GPT-4 and our lightweight WasmEdge sandbox. It's being used by several open source projects. Ex