AI IDE Context Problems and Fixes

When a run goes wrong, don't re-prompt and hope. Narrow the problem to one symptom, then make the smallest change that tells you whether you guessed right.

1. 1Stop the run and save the current diff.
2. 2Check whether the task was too broad or missing files.
3. 3Read the failing command, log or review comment out loud.
4. 4Start a smaller run with one clear done state.
5. 5Run the narrowest check before asking for more changes.

Save the diff before you do anything else. A run that went badly can still contain an edit or two that were right, and if you throw everything away you pay for that work again. The diff is also easier to read than the transcript when you are working out where the run went wrong.

Re-prompting harder almost never works. If the agent misread the task, adding "please be careful" to the same prompt gives it nothing new. New information changes the outcome: the file it never opened, the exact error text instead of your paraphrase, or a boundary tight enough to remove the ambiguity. If the second attempt fails the same way as the first, look at the prompt before you blame the model.

Most of these failures trace back to a gap the run never closed: the agent missed the context that mattered, the prompt set no boundary, or nothing checked the result before it landed. Name the gap before the next run, because each one needs a different fix. Adding context, for example, does nothing for a run that had no boundary.

Paste the exact failure into the chat. Select the failing cell, its error output or the terminal error and use Add to Chat, so the agent works from what you ran instead of your summary of it. The presenter of a Cursor webinar on data science called it the habit that does the most to pinpoint where an issue happens.

Cursor's search docs describe no index state to wait for. Search runs on Instant Grep, which builds and queries its index on your machine and needs no configuration.

Older guides told you to wait until indexing reached 80%, and warned about a five-minute sync and an index deleted after six weeks without use. Those rules described a server-side index that Cursor's docs no longer cover.

So check whether your prompt gave the search something to find. Instant Grep finds exact matches: a function name, a variable, an error string or a regex. The agent uses it automatically when you reference specific symbols, so a prompt that describes the code instead of naming it gives grep nothing exact to match.

If you know the name, put it in the prompt. If you don't, ask for a broad search. The agent can start an Explore subagent that runs many searches in parallel in its own context window and returns only the relevant findings.

Usually because something excluded it. Cursor skips anything matched by .gitignore or .cursorignore, and it also ignores a default list that includes environment files, lock files, dependency folders, binaries, media and archives. Check the ignore files first, because .cursorignore blocks @ mentions too, so an @ mention won't get an ignored file into the chat. To bring back a path that .gitignore or the default list skips, add it to .cursorignore with a leading !.

It is tempting to treat .cursorignore as access control, and Cursor's description invites it: the file excludes paths from agent file reading and context selection. But Cursor's safety docs call it a convenience feature rather than a security boundary. Users can still open ignored files by hand, and the agent's terminal commands and MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. tools can read them anyway.

Use .cursorignore to keep a noisy build directory out of the agent's way. To keep a secret away from an agent, Cursor recommends file system permissions or encrypting the data instead.