At Nuanced, we're building tools that make AI-generated code more reliable.
As AI writes more code, we need better tools to trust it and technologies that ensure our human understanding keeps pace with this rapid development.
While everyone else races to ship new features with AI, we're focused on addressing gaps in AI coding tools and ensuring those features are reliable and maintainable rather than code that works today but becomes a liability tomorrow.
We're starting with an AI-powered Python language server that makes AI-generated code more reliable by understanding your entire system—using a deeper semantic understanding of code than LLMs have today, but also artifacts outside of code such as commit histories, configs, and team patterns.
We're a team of ex-GitHub engineers and researchers who've scaled some of the world's largest developer platforms. I'm Ayman (https://www.aymannadeem.com/about/), and before founding Nuanced, I spent seven years at GitHub where I helped build Semantic(https://github.com/github/semantic), an open-source library for parsing and analyzing code across languages—and scaled security systems to detect anomalous code patterns across millions of repositories. Our team’s deep experience in static analysis and large-scale system design shapes our approach to the AI reliability challenge today.
We've all been on-call at 2 AM, untangling complex service dependencies, and more recently, we've seen firsthand how AI accelerates development—both the wins and the wounds.
If you're building an AI coding tool and any of this sounds interesting to you—we should talk!
At Nuanced, we're building tools that make AI-generated code more reliable.
As AI writes more code, we need better tools to trust it and technologies that ensure our human understanding keeps pace with this rapid development.
While everyone else races to ship new features with AI, we're focused on addressing gaps in AI coding tools and ensuring those features are reliable and maintainable rather than code that works today but becomes a liability tomorrow.
We're starting with an AI-powered Python language server that makes AI-generated code more reliable by understanding your entire system—using a deeper semantic understanding of code than LLMs have today, but also artifacts outside of code such as commit histories, configs, and team patterns.
We're a team of ex-GitHub engineers and researchers who've scaled some of the world's largest developer platforms. I'm Ayman (https://www.aymannadeem.com/about/), and before founding Nuanced, I spent seven years at GitHub where I helped build Semantic(https://github.com/github/semantic), an open-source library for parsing and analyzing code across languages—and scaled security systems to detect anomalous code patterns across millions of repositories. Our team’s deep experience in static analysis and large-scale system design shapes our approach to the AI reliability challenge today.
We've all been on-call at 2 AM, untangling complex service dependencies, and more recently, we've seen firsthand how AI accelerates development—both the wins and the wounds.
If you're building an AI coding tool and any of this sounds interesting to you—we should talk!
Read more at https://nuanced.dev/blog/the-reliability-gap