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Why We Built Xolvyn: Understanding Unfamiliar Code

A

Ankit Kachhad

Founder

•April 18, 2026

Understanding unfamiliar code requires more than a file list. Developers need places to start, relationships they can inspect, and a clear distinction between evidence and interpretation.

What Xolvyn Provides

Xolvyn brings codebase exploration and security analysis into one workspace. Start with a GitHub or GitLab repository, explore architectural layers and resolved file imports, and investigate detected findings alongside the affected code.

The graph is a map of imports, not a record of execution. A connection means one file imports another; it does not prove which functions run or what will fail after a change.

Questions With Context

@mentor uses the available repository analysis as context. Its answers remain AI interpretations. Check important claims against the linked files and ask what the analysis cannot establish.

What We Are Not Claiming

We have not established a universal onboarding-time improvement. A generated graph cannot replace setup instructions, business requirements, conversations with maintainers or runtime testing.

Analysis uses a temporary server-side clone, with cleanup attempted afterward. Signed-in history saves analysis metadata with source snippets removed from saved reports. Review data handling before connecting private code.

Know your system. Start by exploring a repository and checking its relationships against the source.

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