Graphify C# provides compiler-accurate semantic indexing for AI coding agents
A new open-source tool called Graphify C has been released to enhance the capabilities of AI coding agents working with C codebases. Unlike standard text-based search methods, this headless indexer leverages Roslyn and MSBuild to generate compiler-accurate semantic evidence. It resolves complex relationships such as method overloads, generics, and cross-project references, providing agents with…
Key points
- Graphify C# uses Roslyn to provide compiler-accurate semantic data for AI coding agents.
- The tool outputs JSON graphs enabling agents to resolve overloads and cross-project references.
- It is MIT-licensed, headless, and integrates with agents like Codex and Claude Code via skills.
The tool outputs a structured JSON document containing nodes and edges that represent the code's semantic graph. This allows agents like Codex or Claude Code to answer specific queries, such as identifying which methods are used exclusively by tests or finding all implementations of an interface. The project is MIT-licensed and requires no IDE, database, or compiled DLLs, making it lightweight and easy to integrate into existing workflows.
By distinguishing between static evidence and runtime behavior, Graphify C# helps agents avoid false positives in code analysis. It includes a watcher mode for continuous indexing and integrates with the broader Graphify ecosystem for advanced graph querying. This approach aims to bridge the gap between static analysis tools and the dynamic needs of autonomous coding assistants.
Show HN: Graphify C# – Compiler-accurate Find Usages for coding agents
github.com · 12 September 2026Loading the full article…
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