Feature

Natural Language Code Search for Unfamiliar Codebases

AnnoTrace gives developers natural language code search so they can ask real questions like “where is Stripe checkout created,” “where is signup validation handled,” or “what updates the user profile” and get back relevant code explanations tied to exact source locations.

Instead of guessing filenames or manually grepping through a repo, you can search by intent and jump directly to the code that matters.

Search your codebase like you ask a teammate

Developers often understand the goal they are trying to change before they know the exact file, function, or folder where the logic lives. Natural language code search lets you describe behavior in plain English and find the relevant code faster than relying on filenames alone.

Example searches

  • Where is Stripe checkout created?
  • Where is signup validation handled?
  • What updates the user profile?
  • Where is the navbar title set?

Find exact code behind real product behavior

Ask questions such as where login validation happens, where billing upgrade logic is created, or where a UI label is set. AnnoTrace returns explanation blocks, relevant files, and exact source locations so you can move from question to implementation without bouncing between dozens of files.

Built for inherited and AI-generated apps

Natural language code search is especially useful when you did not write the code yourself, the repository grew quickly, or an AI coding tool created working code without clear documentation. It helps reduce onboarding time and lowers the risk of editing the wrong area of the codebase.

Go from search result to exact source lines

Search results are only useful if they are actionable. AnnoTrace links search answers back to code explanations and exact source ranges, so you can inspect the logic, verify the context, and make changes with less guesswork.

Search by behavior, not filenames

Jump from result to exact line range

Read explanation before editing code

Move faster in unfamiliar repositories

Frequently asked questions

What is natural language code search?

Natural language code search lets developers search a codebase using plain-English questions instead of exact filenames, symbols, or grep patterns.

Can I use natural language code search on AI-generated code?

Yes. It is especially helpful for AI-generated or inherited codebases where the behavior is easier to describe than the implementation details.

Does AnnoTrace return exact source locations?

Yes. Search results connect explanations back to files and exact line ranges so you can jump directly into the relevant code.