Quick Answer
When Claude Code or Cursor hits its limit, the work left is usually small: find where a feature lives, change a few lines and check what else uses them. You can do all three without AI. Search the project in plain words, jump to the file and line, and look at what calls that function before you edit it. Your editor and git grep do this if you know the exact names in the code. VibeDoctor's Find in code also works when you only know what the feature does, and it costs no tokens.
Why the Tokens Run Out When You Need Them Most
Since 2025 both of the big AI coding tools meter heavy use. Anthropic added weekly limits to Claude Code for Pro and Max subscribers from August 28, 2025, on top of the limits that reset every five hours. Cursor replaced the 500 monthly requests on its Pro plan with $20 of included usage on June 16, 2025, and from each plan's first renewal after September 15, 2025, its Auto mode draws from that pool too.
Agents spend a good part of that budget just finding things. Before an agent changes one line, it often lists folders, searches for names and reads whole files into its context to work out where the change belongs. In a long session on an app it wrote itself, the limit tends to arrive in the middle of a bug, with the fix itself only a few lines away.
That is the moment this guide is for. You do not need another model to finish a small fix. You need to know where to look.
Three Questions to Answer Without the Agent
Every small fix in code you did not write starts with the same three questions:
| Question | Why it matters | What answers it |
|---|---|---|
| Where is this feature coded? | You cannot change what you cannot find | A search across names, comments, tests and code lines |
| What calls it? | Your change reaches every caller | A list of references, each with its file and line |
| What does it call? | Shows what the function depends on and what it can break | A call hierarchy or a map of the code |
Answer all three and most fixes become a ten-minute job you can do in your editor. Skip the second and a one-line change can break a page you never opened.
Option 1: Search by Hand With Your Editor and Git
Your editor already answers these questions if you know the right words. In VS Code, Ctrl+Shift+F searches every file, Ctrl+T jumps to a function or class by name, F12 goes to a definition and Shift+F12 lists the references to the symbol under your cursor.
From a terminal, git grep searches only the files git tracks, so it skips node_modules and build output:
# Every line that mentions billing, with file and line number
git grep -n -i "billing"
# Only TypeScript, and leave the tests out
git grep -n -i "billing" -- '*.ts' '*.tsx' ':!*.test.*'
# Who calls a function you found
git grep -n "sendReceipt("The catch is vocabulary. These tools find the exact words you type, and AI-written code names things its own way. You think "billing"; the code says credits, checkout or subscription. When the word does match, a project-wide search can return hundreds of lines with no hint of which part of the app each one belongs to. That is where most of the time goes when you did not write the code.
Option 2: Search Your App in Plain Words
Find in code is a page in VibeDoctor (vibedoctor.io) built for this moment. One search reads function names, the comments above and inside functions, file paths, test names and, for projects connected through GitHub, the code lines themselves. Results are grouped by the area of your app they belong to, such as Billing, Email or Admin, so you see the feature before you see the files.
- Describe it. Type what the feature does: "send receipt", "reset password", "billing". You do not need the function name.
- Pick the area. Each area shows how many matches it holds, with the strongest ones first.
- Go to the line. Every match shows its file and line, with a button that copies them so you can open the spot in your editor.
- See what it touches. "Called from 12 places" opens the list of callers, each with its own file and line. "Calls 5 functions" shows what it depends on.
- Open the map if you need it. "Open in X-Ray" shows the function in Vibe X-Ray, with its callers and callees drawn out.
A real example: searching "billing" in Cloudflare's open-source vibesdk returns matches in five areas of the app. They include the AI Gateway credit-balance URL in worker/services/cloudflare/CloudflareAccountService.ts at line 210, a comment in worker/services/rate-limit/config.ts at line 94 and the help text about API keys in the settings dialog, src/components/config-modal.tsx at line 407. None of them sits in a function called "billing", which is why a search by function name alone misses them.
The search uses no AI. It reads the map of your code that VibeDoctor builds when it scans the project, plus the code text. No model reads your question, so it costs no tokens and gives the same answer every time you ask. Your last searches are kept as badges under the box, so you can jump back to them.
Know Your AI-Generated Code Before the Limit Hits
Running out of tokens is a symptom. The cause is a codebase you have not read. In the 2025 Stack Overflow Developer Survey, 84% of developers said they use or plan to use AI tools. Their top frustration, named by 66%, was "AI solutions that are almost right, but not quite", and 45.2% said debugging AI-generated code is more time-consuming. Almost-right code is exactly the kind you have to read to fix.
A small weekly habit closes most of the gap, which we call comprehension debt:
- Play one area a week in Vibe Story, which walks through what your app does in plain English, built from your code's own comments.
- Search for the features users ask about most, such as sign-in, payments and email, and note the file and line of each.
- Before you change shared code, check what calls it. Our guide to a codebase too big to understand covers where to start.
The same habit makes your next agent session cheaper. Give the agent the exact file and line from your search, and it can start where the change belongs instead of searching the whole repo for it. We cover this in giving your AI the right context.
What It Does Not Replace
- It is not an editor. It tells you where to go; you still make the change in VS Code, Cursor or any editor you like.
- It matches words. If a feature uses a word you would never guess, try a related one: "payment", "checkout", "invoice".
- Callers are matched by function name. For very common names such as
getorhandle, the list can include a near miss. Your editor's Go to References is exact for one function once you have found it. - Code-line search needs GitHub. Uploaded code is searched by names, comments, file paths and tests.
Every new account starts with a Free Week. Connect the repository once, and the search is there the next time a limit hits mid-bug.
FAQ
What should I do when I run out of Claude Code or Cursor tokens?
Finish the fix by hand. Find where the feature lives, check what calls the function you plan to change, then edit it in your editor and run your tests. A plain-word code search, your editor's Go to References and git grep cover all three steps without any AI.
How do I find where a feature is in my code if I do not know the function name?
Search in plain words across function names, comments, tests and code lines, not just names. VibeDoctor's Find in code does this and groups the matches by the area of the app they belong to, each with its file and line.
How can I see what calls a function before I change it?
Put the cursor on the function in VS Code and press Shift+F12 for Go to References. In Find in code, open "Called from" on any match to see every caller with its file and line, or open it in Vibe X-Ray for the full map.
Does Find in code use AI or my tokens?
No. It searches the map VibeDoctor builds from your code and the code text itself. No model reads your question, so it costs no tokens and gives the same answer every time.
Does it work with apps built in Lovable, Bolt or Cursor?
Yes. It works on any project you connect through GitHub or upload, whoever wrote the code. Searching the code lines themselves needs the GitHub connection; uploaded code is searched by names, comments, file paths and tests.