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What to Do When Cursor Leaves Code Unfinished

When Cursor stalls mid-generation during an API integration, the fastest recovery is to identify the cut-off point, reduce the prompt scope, and continue from exactly where it stopped. Use Cmd+K for smaller completions, break large integrations into sequential Chat turns, and reference specific incomplete functions with @file. Most stalls are caused by over-large prompts or context window saturation — both are fixable.

What you'll learn

  • How to identify where Cursor stopped and resume generation from that exact point
  • How to break large API integration prompts into smaller sequential steps that avoid stalls
  • How to use Cmd+K to complete a specific half-written function without regenerating the whole file
  • How to configure .cursorrules to prevent common stall patterns in API integration code
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Beginner10 min read10-15 minCursor Free+, any languageMarch 2026RapidDev Engineering Team
TL;DR

When Cursor stalls mid-generation during an API integration, the fastest recovery is to identify the cut-off point, reduce the prompt scope, and continue from exactly where it stopped. Use Cmd+K for smaller completions, break large integrations into sequential Chat turns, and reference specific incomplete functions with @file. Most stalls are caused by over-large prompts or context window saturation — both are fixable.

What to do when Cursor stalls in the middle of an API integration

Cursor stalls mid-generation when a prompt is too large for the model's output window, when the context is saturated with too many @file references, or when the network connection drops briefly. During API integrations this is especially frustrating because the generated code may have a partial fetch call, an unfinished error handler, or a typed interface that references a type defined on the next line that never arrived. This tutorial gives you a systematic recovery workflow so that stalls cost minutes rather than hours.

Prerequisites

  • Cursor installed (Free plan or above)
  • An API integration in progress (REST or GraphQL, any language)
  • Basic familiarity with Cursor Chat (Cmd+L) and Cmd+K

Step-by-step guide

1

Identify the cut-off point in the generated code

Before re-prompting, scan the generated code to find exactly where Cursor stopped. Common cut-off signs: an unclosed function body, a comment that starts a section but has no code below it, an import statement with no matching usage, or a TODO placeholder where an implementation should be. Note the function name and the last line of valid code. This information goes into your recovery prompt.

Typical stall pattern
1// Example of a typical mid-stall output:
2
3async function fetchUserOrders(userId: string): Promise<Order[]> {
4 try {
5 const response = await fetch(`${API_BASE}/users/${userId}/orders`, {
6 headers: {
7 Authorization: `Bearer ${getAuthToken()}`,
8 'Content-Type': 'application/json',
9 },
10 });
11 // <-- Cursor stopped here. Error handling, JSON parsing, and return are missing.
12 }
13}

Pro tip: Look for syntax errors that TypeScript catches immediately — unclosed brackets, missing return types, or references to variables that were never declared. These mark the exact stall boundary.

Expected result: You have identified the function name (fetchUserOrders) and the last valid line (the headers object), ready for your recovery prompt.

2

Use Cmd+K to complete the specific incomplete function

Select only the incomplete function — from its opening declaration to the cut-off line — and press Cmd+K. Give a targeted instruction that references what is missing. Cmd+K works on a small selection rather than the whole file, so it avoids re-triggering the conditions that caused the original stall. Do not ask it to regenerate the entire integration — only the missing piece.

Cursor Cmd+K inline prompt
1Complete this function body.
2The try block needs:
31. A check for response.ok if false, throw new ApiError(response.status, await response.text())
42. Parse the JSON response as Order[]
53. Return the parsed array
6The catch block needs:
7- Re-throw ApiError instances unchanged
8- Wrap other errors in new ApiError(500, error.message)
9Add the ApiError class import at the top of the file if it does not exist.

Pro tip: Use Cmd+K on a selection of 10-30 lines maximum. For larger completions, Chat is more reliable. The smaller the selection, the faster and more accurate the completion.

Expected result: The fetchUserOrders function is completed with error handling, JSON parsing, and a typed return. The ApiError import is added if needed.

3

Break the integration into sequential Chat turns

If Cmd+K stalls again on a complex function, switch to Cursor Chat (Cmd+L) and break the integration into a sequence of smaller requests. Structure the session as: first turn generates types and interfaces, second turn generates the API client class, third turn adds error handling, fourth turn adds retry logic. Each turn is small enough to complete in one pass. Reference the previous output with @file to maintain continuity.

Sequential Cursor Chat turns
1# Turn 1 types only
2Generate TypeScript interfaces for the Stripe API integration at src/types/stripe.ts.
3Only types no functions. Include: StripeCustomer, StripeSubscription, StripeInvoice, StripeError.
4
5# Turn 2 client class
6Using @file src/types/stripe.ts, generate the StripeClient class at src/services/stripe-client.ts.
7Only include: constructor (takes apiKey: string), fetchCustomer(id: string), and listSubscriptions(customerId: string).
8Do NOT include error handling yet just the happy path.
9
10# Turn 3 error handling
11Using @file src/services/stripe-client.ts, add try/catch error handling to each method.
12Map Stripe API error responses (status 402, 422, 429) to typed StripeError objects.

Pro tip: Starting a fresh Chat session (Cmd+N) for each turn avoids context window saturation from previous conversation history. Reference the previous file with @file instead of scrolling back through the conversation.

Expected result: Each turn completes without stalling. The full integration is built incrementally across three clean Chat sessions.

4

Reduce context to prevent future stalls

Stalls often recur because the prompt includes too many @file references or the .cursorrules file is very long. Audit your context load: more than 4-5 @file references in one prompt is usually too much. For complex integrations, create a dedicated api-integration.md scratch file with just the relevant types and endpoint list, then reference that single file instead of the whole codebase.

api-integration-context.md
1# api-integration-context.md
2# Include this with @file when working on the payment integration
3
4## Stripe API endpoints used
5- GET /v1/customers/{id}
6- GET /v1/customers/{id}/subscriptions
7- POST /v1/payment_intents
8- POST /v1/subscriptions
9
10## Shared types (already defined in src/types/stripe.ts)
11- StripeCustomer, StripeSubscription, StripeInvoice, StripeError
12
13## Error codes to handle
14- 402: payment required
15- 422: validation failed (parse error body)
16- 429: rate limited (retry after header)
17- 500: Stripe internal (retry up to 3 times)

Pro tip: A focused context file is faster and more reliable than @codebase for large integrations. @codebase does a semantic search — a dedicated context file gives Cursor exactly what it needs with no noise.

Expected result: Future prompts using @file api-integration-context.md complete without stalling because the context is compact and relevant.

5

Add a .cursorrules rule to prevent large monolithic integration prompts

Add a generation style rule to .cursorrules that encourages incremental building. This does not prevent all stalls but signals to Cursor — and to yourself — to keep integration prompts focused. Pair it with a rule about always generating TypeScript types before implementation to ensure the type foundation is solid before function generation begins.

.cursorrules
1# .cursorrules
2
3## API Integration Style
4- When generating API client code, always create types/interfaces first, then the client class, then error handling.
5- Generate one class or module per prompt do not generate a full integration in a single request.
6- All API responses must be typed. NEVER use 'any' for API response shapes.
7- All fetch calls must include a response.ok check and throw a typed error if false.
8- Use AbortController for fetch calls that may time out. Pass signal to fetch options.
9- Retry logic must be extracted into a separate retryWithBackoff utility function, not inlined.

Expected result: Cursor generates API integration code incrementally, reducing the likelihood of stalls and producing more maintainable output.

Complete working example

src/services/api-client.ts
1// Complete typed API client — built incrementally with Cursor
2
3export class ApiError extends Error {
4 constructor(
5 public readonly status: number,
6 message: string
7 ) {
8 super(message);
9 this.name = 'ApiError';
10 }
11}
12
13async function retryWithBackoff<T>(
14 fn: () => Promise<T>,
15 retries = 3,
16 delayMs = 500
17): Promise<T> {
18 try {
19 return await fn();
20 } catch (err) {
21 if (retries === 0 || !(err instanceof ApiError) || err.status !== 429) {
22 throw err;
23 }
24 await new Promise((r) => setTimeout(r, delayMs));
25 return retryWithBackoff(fn, retries - 1, delayMs * 2);
26 }
27}
28
29export interface Order {
30 id: string;
31 userId: string;
32 status: 'pending' | 'fulfilled' | 'cancelled';
33 total: number;
34 createdAt: string;
35}
36
37const API_BASE = process.env.NEXT_PUBLIC_API_URL ?? '';
38
39function getAuthToken(): string {
40 return localStorage.getItem('auth_token') ?? '';
41}
42
43export async function fetchUserOrders(userId: string): Promise<Order[]> {
44 return retryWithBackoff(async () => {
45 const controller = new AbortController();
46 const timeoutId = setTimeout(() => controller.abort(), 10_000);
47
48 try {
49 const response = await fetch(`${API_BASE}/users/${userId}/orders`, {
50 headers: {
51 Authorization: `Bearer ${getAuthToken()}`,
52 'Content-Type': 'application/json',
53 },
54 signal: controller.signal,
55 });
56
57 if (!response.ok) {
58 throw new ApiError(response.status, await response.text());
59 }
60
61 return response.json() as Promise<Order[]>;
62 } finally {
63 clearTimeout(timeoutId);
64 }
65 });
66}

Common mistakes

Why it's a problem: Re-running the exact same large prompt that caused the stall

How to avoid: Break the prompt into two or three smaller prompts. Generate types first, then implementation, then error handling as separate Chat turns.

Why it's a problem: Asking Cursor to 'continue' in the same Chat thread after a stall

How to avoid: Open a fresh Chat session (Cmd+N), reference the incomplete file with @file, and ask Cursor to complete the specific missing section.

Why it's a problem: Accepting partial code without checking for syntax errors first

How to avoid: Before accepting any partial completion, check the file for TypeScript errors in the Problems panel (Ctrl+Shift+M). Fix all errors before continuing.

Why it's a problem: Including too many @file references in an API integration prompt

How to avoid: Create a focused context document (api-integration-context.md) with only the relevant types and endpoint list. Use one @file reference instead of four.

Best practices

  • Always generate TypeScript types and interfaces before implementation code — types are small and complete reliably, giving Cursor a solid foundation for the larger generation.
  • Use Cmd+K for completions under 30 lines and Chat for larger sections — Cmd+K is faster and less likely to stall on small, focused completions.
  • Start a fresh Chat session for each discrete part of an API integration instead of building everything in one long conversation thread.
  • Create a compact api-integration-context.md file for complex integrations and reference it with @file instead of @codebase.
  • Add a response.ok check and typed error throw to .cursorrules so every generated fetch call includes proper error handling by default.
  • Use AbortController with a timeout for every fetch call — ask Cursor to include this pattern in all API client generation.
  • After any stall recovery, run TypeScript type checking (tsc --noEmit) to verify the completed code is sound before continuing development.

Still stuck?

Copy one of these prompts to get a personalized, step-by-step explanation.

ChatGPT Prompt

Complete this TypeScript async function that was partially generated. It calls a REST API to fetch user orders. The try block is incomplete — it is missing: a response.ok check that throws an ApiError(status, text) on failure, JSON parsing of the response as Order[], and a return statement. The catch block is also missing — it should re-throw ApiError instances and wrap others. Here is the incomplete code: [paste incomplete function]

Cursor Prompt

In Cursor, select the incomplete function and press Cmd+K. Type: 'Complete this function body. The try block needs: 1) response.ok check — throw new ApiError(response.status, await response.text()) if false, 2) parse JSON as Order[], 3) return the array. The catch block needs to re-throw ApiError unchanged and wrap other errors. Add the ApiError import if missing.'

Frequently asked questions

How do I know if Cursor stalled because of prompt size or a network issue?

If Cursor stops generating and shows a spinner indefinitely, it is usually a network timeout — wait 30 seconds, then reload. If it stops generating and returns what it has so far without an error message, the output window limit was reached. Reducing prompt scope fixes the latter; a fresh attempt fixes the former.

Can I prevent stalls by choosing a different model?

Smaller models (cursor-small, GPT-4o-mini) have smaller output windows and stall more often on large prompts. For complex API integrations, use Claude 3.5 Sonnet or GPT-4o in Chat. Switch models in the model selector at the top of the Chat panel.

Should I use Composer instead of Chat for large API integrations?

Composer (Cmd+I) in Agent mode is ideal when the integration spans multiple files. It can create types, client, and tests in one session. However, Agent mode uses more context per operation, so breaking the Agent prompt into phases (types first, then implementation) still prevents stalls.

What should I do if Cursor's partial code has already been accepted to the file?

Use Cmd+Z to undo the partial application, then use @file in a fresh Chat session to re-approach the generation with a smaller scope. Alternatively, use Cmd+K on the incomplete section to complete just the missing part without undoing.

How do I ensure the completed code is safe to use in production?

Run tsc --noEmit to verify TypeScript is satisfied, run your test suite to check for regressions, and manually review any fetch calls for missing error handling or timeout logic. Cursor's recovery completions are generally sound but always warrant a quick review.

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