Hi HN, I’m Koji, software engineer and co-founder of EggAI.
We’ve built EggAI, a multi-agent meta framework designed to help enterprises build scalable, quality-controlled AI systems. It’s async-first, distributed, and composable, enabling seamless integration with DSPy, LangChain, LlamaIndex, LiteLLM, and more.
Happy to share insights or answer questions about multi-agent architectures, AI agent orchestration, and how we’re making AI systems more structured, scalable, and reliable. AMA!
Great work on the website! Figma is definitely the way to go. Having everything spec’d out beforehand makes implementation and iteration so much easier and faster.
Thanks, good question. Eventually yes but atm the focus is on React and enabling one seamless development process. We aim to eventually enable all types of javascript stacks.
Definitely, AI for coding makes sense. In the Veryfront Studio, you get a similar experience with live previews and AI coding capabilities, with the added benefit of being able to instantly deploy or export your code.
Material Design is awesome. What I like about Veryfront components is that it includes also section components which are larger building blocks and integrates nicely with Veryfront Studio for seamless dev handoff, which then allows to go from build to deployment quick and easily.
We’ve built EggAI, a multi-agent meta framework designed to help enterprises build scalable, quality-controlled AI systems. It’s async-first, distributed, and composable, enabling seamless integration with DSPy, LangChain, LlamaIndex, LiteLLM, and more.
Happy to share insights or answer questions about multi-agent architectures, AI agent orchestration, and how we’re making AI systems more structured, scalable, and reliable. AMA!