Show HN: SuperOptiX – Evaluate, Optimize, Orchestrate DSPy AI Agents – BDD Style
5 hours ago (superoptix.ai)
I posted about SuperOptiX previously, but at that time the website and documentation weren't fully polished — we were still finalizing core components. Since then, we've fully revamped the site, completed detailed developer docs, and rolled out all major features.
What’s SuperOptiX? It’s a full-stack Agentic AI framework built for real-world, production-grade agents with a focus on: Evaluate-first development (BDD/TDD style specs like Cucumber or RSpec way) Optimization-core architecture (powered by DSPy) Multi-agent orchestration (think Kubernetes for agents) Context Engineering, Model Management, Memory Routing Declarative agent specification with SuperSpec (Think RSpec for Agent Engineering)
Ideal for teams moving from agent demos to scalable, maintainable systems.
Website: https://superoptix.ai Docs: https://superagenticai.github.io/superoptix-ai/
Would love your feedback from HN Community — we’ve put our soul into getting this right for agent developers and infra engineers. Happy to answer questions!
This seems cool and mostly aligns with how I think about developer processes around AI.
However, there are so many god damn colors on the page that I have no idea what I'm looking at. I want to see important things highlighted by color so I know what your thing does, but you have absolutely everything highlighted and with so many different colors, it's just a frustrating experience. I'd suggest getting a UX review, focusing the information you're presenting to 1-3 things, and making it easier to grok.