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SCIM code search
Build a Source Code Intelligence Model for a single repo, then search functions, files, comments, and implementation details quickly with repo-specific context.
Source Code Intelligence & Search Model trained on your code repository
Find anything in your codebase, instantly
CodeVal.AI builds a repository-specific Source Code Intelligence Model, then helps teams search code, understand daily changes, and navigate file, function, and search graphs without waiting for a new teammate to become a code archeologist.
Single repoGrounded to your code, paths, functions, and comments.
Fast searchSCIM-backed lookup for onboarding and debugging.
Live mapsNavigable graphs for files, functions, and searches.
Daily Product Change and Commit Summary
3 commits touched checkout analytics, payment state, and storefront configuration.
callsimportsrendersupdates
Built for codebase understanding, not generic chat.
CodeVal works from the repository structure, parsed functions, source snippets, comments, and graphs, so answers stay tied to the code that exists.
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Daily commit summaries
Turn recent GitHub activity into a product-oriented daily summary: commits, authors, changed files, affected areas, and evidence gaps.
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Navigable graphs
Open file, function, and search-result graphs to follow callers, callees, dependencies, and related source areas during onboarding or debugging.
From repository to answers in a practical workflow.
Connect a repo, let CodeVal parse and map it, then use search and summaries as a daily engineering intelligence layer.
Connect GitHubGrant repository permissions and choose the codebase you want to analyze.
Build SCIMCodeVal reads files, parses functions, extracts comments, and builds repo-aware search artifacts.
Explore graphsNavigate file connections, function call paths, and graphs created from search results.
Summarize changesReview daily commits with product impact, changed areas, and supporting evidence.
Give every engineer a faster path through a new or unfamiliar repo.
Use CodeVal.AI when onboarding, debugging production issues, reviewing daily changes, or deciding where a feature actually lives.