When teams build AI agents that work with code, the parsing layer rarely appears in the architecture diagram, even though it should.

Every language your agent touches needs a parser. Every parser has its own grammar format, its own compilation toolchain, and its own quirks around error recovery. When you're building a coding agent that handles Python, TypeScript, and Go, you're already maintaining three separate parsing dependencies before you've written a single line of agent logic. Now add Rust, Java, and Ruby to the mix, and you have a dependency management problem dressed up as an infrastructure problem.

This is the invisible tax on code-aware AI systems.…