nuanced.dev @nuanced_dev
Making AI tools smarter with semantic understanding. nuanced.dev San Francisco, CA Joined October 2023-
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if you're vibe coding refactors, you need @nuanced_dev. I recorded a demo (link ⬇️) showing a refactor in Claude Code with and without Nuanced MCP. Same refactor, same prompt, run twice. The results: - Nuanced is more accurate on the first go - 35% faster - uses 32% less…
Today we're launching Nuanced MCP for TypeScript, available to individual developers. 🚀 Developers kept asking for an MCP server they could drop into Claude Code/Cursor--so we built it. It gives AI a compiler-grade call graph for grounded edits and fewer tokens. Links to our…
Nuanced provides compiler-grade context for AI coding. We just launched our explainer video: 📽️ youtu.be/674AwhMVoSE
This one's for the language nerds ✨💖
I prompted Claude Code to center a div and it had a meltdown. why? because your LLM is guessing with grep, not reasoning. I wrote about how programming languages are precise, but prompts aren’t. And how we fix that at Nuanced. (link below) 👇
New updates to nuanced-python: - v0.1.9 - cleaner CLI output - v0.1.8 - custom timeouts + better help text - v0.1.7 - version, deeper call graphs, and builtins toggle Less noise. More structure. Better for LLMs and agentic tools.
We just launched Nuanced for TypeScript 🚀 A static analysis tool that gives LLMs real code understanding. LLMs hallucinate because they don’t understand code--they just see tokens. That’s why your copilot invents functions, imports the wrong libraries, or silently breaks…
Read our full analysis on why we chose call graphs over LSPs: nuanced.dev/blog/why-we-ch… TL;DR: LSPs are built for editors, not AI. They prioritize responsiveness over completeness, while AI needs deterministic, semantic understanding of how code actually behaves.
people often ask us: "are you building an LSP for AI?" or "why not just use LSPs for code understanding?" we've made a deliberate technical choice to ground our AI code understanding in call graphs instead. Here's our deep dive on this fundamental architecture decision 🧵
exactly right. after 7 years building + scaling static analysis at GitHub, I'm now building Nuanced.dev to focus on semantics understanding for AI coding. while AI may abstract away syntax, it actually increases the need to understand how code truly interrelates.…
exactly right. after 7 years building + scaling static analysis at GitHub, I'm now building Nuanced.dev to focus on semantics understanding for AI coding. while AI may abstract away syntax, it actually increases the need to understand how code truly interrelates.…
Try it out! Star our repo and let us know what you think. docs: docs.nuanced.dev/introduction repo: github.com/nuanced-dev/nu…
Excited to launch Nuanced, an open-source Python library that finally gives AI coding assistants actual structural understanding of your code. 🚀 🧵Link to the full announcement in the next tweet:
this is exactly the kind of community + creativity we hoped to inspire with open sourcing Nuanced! 🚀 someone's already built an MCP server to integrate our call graph analysis with Cursor + Claude. Incredible to see such quick adoption - would love to hear how it's working for…
this is exactly the kind of community + creativity we hoped to inspire with open sourcing Nuanced! 🚀 someone's already built an MCP server to integrate our call graph analysis with Cursor + Claude. Incredible to see such quick adoption - would love to hear how it's working for…
psyched to get the @greptileai team using Nuanced! @dakshgup and I coined a new term: “code dysmorphia”—when you irrationally think your own code is worse than it actually is. side effects include rewriting the same function 10 times and feeling deep shame over old commits.
What happens when you give AI coding assistants the same system context developers use? We ran experiments with call graphs, memory profiles, and error reports. The results were fascinating—deeper debugging, better navigation, and more precise solutions.
What happens when you give AI coding assistants the same system context developers use? We ran experiments with call graphs, memory profiles, and error reports. The results were fascinating—deeper debugging, better navigation, and more precise solutions.
At Nuanced, we're a knowledge graph that is essentially a relevant slice of the call graph you need, augmented with the right information about side effects, state, and more. Read more: nuanced.dev/blog/beyond-fi…
AI coding assistants navigate code exhaustively, reading everything instead of knowing where to look. With context windows capped at 200k, this is not just inefficient, but impossible for large codebases. Here's how different tools search code today, and why we're building…
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