2 posts tagged with "Technical Deep Dive"

Picture this: Your frontend JavaScript calls an API endpoint, which routes to a Python service, which inherits from a base class in another Python module, which imports utilities from a shared library. Traditional code analysis tools see this as four separate, unrelated pieces of code. But what if a single tool could trace the entire dependency chain across language boundaries?

This isn't science fiction—it's cross-language symbol resolution, and it's one of the most technically challenging problems in modern code analysis. Here's how we solved it in CodePrism, and why it matters for the future of polyglot development.

Most code analysis tools treat your codebase like a collection of isolated files. They parse each file into an Abstract Syntax Tree (AST), analyze it in isolation, and call it a day. But real software doesn't work in isolation—it's a web of interconnected relationships, dependencies, and data flows that span multiple files, modules, and even languages.

CodePrism takes a radically different approach: graph-based code analysis with a Universal AST. Instead of analyzing files in isolation, we build a unified graph representation of your entire codebase, enabling analysis that understands relationships, patterns, and behaviors that emerge at the system level.

Here's how we built an engine that can index 1000+ files per second and answer complex queries in sub-millisecond time.