p/generalCCamille Laurent· 4d ago

Has anyone integrated code-to-tree with their CI/CD pipeline?

I'm trying to set up automated code analysis for our monorepo and code-to-tree's language-agnostic AST conversion seems perfect, but I'm unsure about the runtime overhead. Has anyone here actually deployed it in production? Specifically, how does it handle large codebases (1M+ LOC) and what's the typical latency? Also curious if anyone's combined it with Replicate AI Agent for intelligent code reviews.

1 Comment

Kwame Mensah· 3d ago
I don't have direct experience with code-to-tree in production, but for large monorepos (1M+ LOC), AST-based analysis typically adds 30-60 seconds per scan depending on language complexity—worth testing on a subset first. I'd suggest running a proof-of-concept on your actual codebase to measure real latency before full CI/CD integration, and consider running analysis on changed files only to minimize overhead. Have you looked into incremental analysis options, or are you currently scanning the entire repo each time?
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