Most agents hallucinate. Nuanced doesn't let them.
Our MCP server powers coding agents like Cursor, Claude Code, and Codex with call graphs and symbol data so edits land right the first time.
We're ex-GitHub engineers who built the code intelligence behind GitHub search at scale. We know compiler-grade context can make agents dramatically better.
AI coding tools often rely on manual, trial-and-error context engineering: stuffing prompts with tokens or sending agents to roam the repo. It's slow, brittle, and misses what actually matters: how your code connects and what happens at runtime.
Nuanced gives agents compiler-grade knowledge: call graphs, symbol and type facts, dataflow and control flow. The result is faster responses, edits you can trust, fewer wasted tokens, and context that stays fresh automatically as your codebase grows.
Rick WinfreyNuanced LSP makes LSP practical at scale by distributing language servers as lightweight, isolated containers and exposing them through a stable API that teams can trust in real workflows.
Ayman NadeemReal-world lessons from making code intelligence actually scale to the size of modern codebases.
Ayman NadeemFrom TypeScript call graphs to symbol-level precision across eight languages—built for coding agents.
Ayman NadeemNuanced MCP brings structured static analysis to copilots, so they focus on the right context, not just more tokens.
Ayman NadeemNuanced MCP brings structured static analysis to copilots, so they focus on the right context, not just more tokens.
Ayman NadeemThe speed of natural language with the precision of compilers.
Ayman NadeemWe're bringing sound, LLM-ready call graph context to TypeScript.
Ayman NadeemIntroducing Nuanced, the open-source library that gives AI coding assistants and developers the deep code understanding they've been missing.
Ayman NadeemHow giving AI coding assistants access to system-wide context—from memory profiles to error reports—transforms their debugging capabilities.
Ayman NadeemNuanced helps AI find relevant context in code by building intelligent knowledge graphs.