Graphify C# – Compiler-accurate Find Usages for coding agents: VALIDATE, 62/100 | Ideas Lab

A compiler-accurate code analysis tool that helps AI coding agents understand variable/function usage across C# codebases.

The pain

Coding agents (Claude, GPT-4, etc.) make mistakes when refactoring or modifying C# code because they lack precise knowledge of where symbols are actually used. They hallucinate usage patterns or miss edge cases, leading to broken code. Developers waste time fixing agent-generated code or manually verifying changes.

The gap

Existing solutions use regex, AST parsing, or IDE plugins that miss compiler-specific details (overloads, generics, nullable contexts, extension methods). Agents need a tool that gives them the exact same symbol resolution the C# compiler uses, not approximations.

Build angle

Start by building a thin wrapper around Roslyn (Microsoft's C# compiler API) that exposes find-usages as a simple API or CLI. Package it specifically for agent consumption—structured JSON output, fast batch queries, clear handling of ambiguous cases. Validate with 3-5 teams using Claude/GPT-4 for code generation tasks.

Strengths

Solves a real, specific problem for a growing use case (AI-assisted coding)
Compiler accuracy is a defensible moat—hard to replicate without deep Roslyn knowledge
Low-friction distribution: agents can call it via API, no IDE integration needed
C# has enterprise adoption and strong tooling ecosystem; market understands the value

Risks

Market size unclear: how many teams actually use coding agents for C# at scale today?
Timing risk: if Claude/GPT-5 improve reasoning, agents may not need external tools
Roslyn is free and open; Microsoft could add this feature natively
Narrow TAM: only useful for C# shops using agents; excludes Python, TypeScript, Go teams
Requires ongoing maintenance as C# language evolves (records, required keyword, etc.)
Unclear monetization: sell to agent platforms, to enterprises, or as SaaS?

Fly Labs Method

Is the pain real, is there a gap, is it the right time, can one person build it.

62

Value Equation

Dream outcome and how likely it feels, against the time and effort it costs.

58

One-Person Business

Curiosity pull, identity fit, and a path from free value to paid for a solo creator.

71

Viral Frameworks

Hook strength, shareability, and how cheaply it can be tested.

64

Builder Lens

Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.

68

Five lenses, one composite. How scoring works

The angle

Start by building a thin wrapper around Roslyn (Microsoft's C# compiler API) that exposes find-usages as a simple API or CLI. Package it specifically for agent consumption—structured JSON output, fast batch queries, clear handling of ambiguous cases. Validate with 3-5 teams using Claude/GPT-4 for code generation tasks.

No market research recorded for this idea yet.

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