Most AI coders produce source code and a chat log. This one builds an interactive UI for you, which feels more like a personal garage where you build your artwork than the usual task list and chat log we've seen in Lovable or the agentic VS Code view.
You can also ask your AI agent how to use the kernel to build your own agentic system. It may blow your mind: all actors live on one flat surface and exchange calls, with permissions on every call between them. It's harder to understand at first, but once you get it, you'll forget about agent loops and agent graphs and use it as the base runtime for your AI software.
I packed a lot in here, so it's not easy to explain; I hope this makes sense. In one sentence: a flat runtime that replaces agent loops and agent graphs, plus a canvas web app for your state-of-the-art AI workflow in the browser.
https://github.com/aisixteen/fantastic
Fantastic is my own harness. It runs on an Erlang-like, OS-like meta-runtime instead of agent loops or agent graphs.I believe this is the right design for an AI runtime: it puts humans, AI agents and tools on equal footing.It will grow into a convenient multi-OS runtime that can do what other AI libraries and harnesses do. For now it’s a technical demo with two modes: a CLI coder, and a spatial...
I’m a senior ML/Dev with top accounts on freelance platforms. I cannot land a gig because automated platforms have flooded clients’ attention, despite being able to for years. Clients complain as well that they cannot find a workforce because of the AI slop shield. Imagine, you post a job on Upwork and bots get you on LinkedIn in a few minutes. What do you guys do? How do you search for gigs now?