Hey Cursor,
I realize this is a Claude thing and not a you thing but is there a way to automate guard rails in Cursor?
This issue of Claude rolling back on Next 14 patterns is so consistent and pervasive that I write an MD file just to correct it several times a day when the AI tries to overwrite my functional work. The .cursorrules file doesn’t seem to prevent it.
Is there a feature of cursor that lets me say “this stuff is important, don’t let the agent overwirte it without flagging me”?
Hey, you can try adding comments to important sections of code, like // DO NOT EDIT. Then, in your rules, you can specify that it should never delete the marked sections of code. This should work, but it’s not a 100% reliable solution, as the model might ignore this rule over time.
You know what would be great: NOTEPAD default buckets just like the YOLO black-list of commands.
How about a CHECK BOX in the IDE for the file that says “DO NOT EDIT” (Read only, knock-out-of-the-floppy…
&
Highlight, right-click "Send code to [NOTEPAD_FREEZER] <<-- Any functions, specific code segments, files, scripts etc - can be sent to the freezer and the AI cant modify anything in that - && they can be called as variables in other files.
May you share the SSE,MD file?
Or sanitize it if need be and share the intent?
Thanks
Sure, this was a quick hack of a file but I refer Cursor to it all the time. It’s just a bunch of my messy notes crunched through ChatGPT and output to MD.
In Next.js 15 and Node.js 22, modern runtime improvements and API design updates influence Server-Sent Events (SSE) implementation. Here’s a breakdown of key changes and considerations.
axios for server-side HTTP requests.ReadableStream API make handling streaming responses (like SSE) more efficient.app/) and Server Actions introduce a new structure for server-side logic.app/api/).// app/api/sse/route.js
export async function GET(req) {
const encoder = new TextEncoder();
const stream = new ReadableStream({
start(controller) {
const intervalId = setInterval(() => {
const message = `data: ${JSON.stringify({ time: new Date() })}\n\n`;
controller.enqueue(encoder.encode(message));
}, 1000);
req.signal.addEventListener('abort', () => {
clearInterval(intervalId);
controller.close();
});
},
});
return new Response(stream, {
headers: {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive',
},
});
}
Edge runtimes have limitations on long-lived connections. Use the Node.js runtime for SSE by specifying:
export const runtime = 'nodejs';
<Suspense /> boundaries and React Server Components).app/api/.res.flush()) for older client compatibility.app/api/ for SSE Routes:
ReadableStream for efficient SSE handling.req.signal to manage disconnects and prevent memory leaks.// app/api/sse/route.js
export async function GET(req) {
const encoder = new TextEncoder();
const stream = new ReadableStream({
start(controller) {
const intervalId = setInterval(() => {
const message = `data: ${JSON.stringify({ time: new Date() })}\n\n`;
controller.enqueue(encoder.encode(message));
}, 1000);
req.signal.addEventListener('abort', () => {
clearInterval(intervalId);
controller.close();
});
},
});
return new Response(stream, {
headers: {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
Connection: 'keep-alive',
},
});
}
useEffect(() => {
const eventSource = new EventSource('/api/sse');
eventSource.onmessage = (event) => {
console.log('Update:', JSON.parse(event.data));
};
eventSource.onerror = (error) => {
console.error('SSE error:', error);
};
return () => {
eventSource.close();
};
}, []);
This implementation aligns with the latest capabilities and best practices in Next.js 15 and Node.js 22, ensuring a robust SSE setup for modern applications.
A source of truth feature would go a long ways. AI loves to spam as many versions of a file into the app as possible. The behavior is mostly harmless when it’s 5 versions of {cn} but dangerous as ■■■■ when it’s 2 versions of a critical sync controller.
Cursor could pretty easily build locking guardrails around this.
IMO _ we are in the pre-tsunami of Agentic Swarms. Where the sea recedes, (our belief that Agents are ‘really that capable’?, (“I mean, C’Mon - it keeps losing context”)) – but I can see where we are going.
I am so excited to get better nad better at wielding Agents.
I know that I am super weak in this ability ATM - but I know I can build cool things- but if I know some cool things that I can build – the amount of things the sother super smart people with actual access to FAANG level resources, the things they MUST have ALREADY been building must be nuts.
I just need to figure out how to pojint the Agents at filling up my bank account…
But Agents that register incredible code snippets and ffunctions and archetypes, and personas and all sorts of Agentic Tooling into vast instantaneous libararies that can be called.
We need a new package manager that is an AI Agent Persona’s Toolbox – Whereby when I say "build a thing that can do all the things, have payment DB, log, blah blah blah…
It can yank already successfully created AI Agent manifestations and can just check out complete modules that are plug and PL-AI
If that makes sense…
Hey, I updated this to be mindful of Vercel’s limitations:
Below is a friendly, comprehensive guide to Server-Sent Events (SSE) in Next.js 15 and Node.js 22—including how you can still make it work on Vercel without the guide yelling at you. We’ll cover recent SSE changes, potential pitfalls, IDE/tooling considerations, and how to stream logs from a serverless environment while respecting Vercel’s constraints.
In Next.js 15 and Node.js 22, modern runtime improvements and API updates have made SSE more convenient while introducing a few new caveats. Below is a deeper look at what’s changed, especially around file operations, streaming logs, and IDE configurations.
fetch API, simplifying server logic for data requests.
fetch is typically used for reading from other endpoints.stream module.
Readable, you may see errors like stream.on is not a function if you pass them a Web ReadableStream.Readable.fromWeb() or use a Node.js Readable from the start.export const runtime = 'nodejs'; in your route.app/ directoryapp/api/. SSE routes live in app/api/sse/route.ts, for instance.route.ts under app/api/, which is simpler to maintain than older Next.js versions.runtime = 'nodejs' for more stable SSE connections.Web Streams vs. Node Streams
ReadableStream to a library expecting Node.js streams triggers errors.Readable.fromWeb() or revert to Node streams.Long-Lived Connections on Edge
IDE/TypeScript Config
EventSource, add "DOM" in lib within your tsconfig.json."types": ["node"].HTTP/2
CORS
Access-Control-Allow-Origin headers.File-Based Logging
Use app/api/ for SSE
Keep SSE routes separate from UI, making your IDE aware of the difference between server and client code.
Convert Streams Where Needed
If your library wants a Node.js stream, but you have a Web ReadableStream, use Readable.fromWeb().
Leverage req.signal for Cleanup
Next.js 15 sets req.signal. If the client disconnects, you can close your SSE gracefully.
Explicitly Use runtime = 'nodejs'
arduino
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export const runtime = 'nodejs';
This keeps your SSE route off Edge, where it might get terminated prematurely.
Be Mindful of Timer Usage
Use intervals or pings in SSE, but clear them when the request ends to prevent memory leaks.
Test with Real Browsers
SSE can behave differently across Chrome, Firefox, etc. Full end-to-end testing is recommended.
Type Annotations for SSE Data
If you’re sending JSON logs, define an interface so your IDE can auto-complete your SSE event object properties.
Server Route (app/api/sse/route.ts):
ts
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`export const runtime = ‘nodejs’; // Force Node.js runtime
export async function GET(req: Request) {
const encoder = new TextEncoder();
const stream = new ReadableStream({
start(controller) {
// Initial event
controller.enqueue(
encoder.encode(data: ${JSON.stringify({ type: 'info', message: 'Connection established' })}\n\n)
);
const intervalId = setInterval(() => {
const now = new Date();
const payload = {
type: 'update',
timestamp: now.toISOString(),
message: `Current time: ${now.toLocaleTimeString()}`,
};
controller.enqueue(encoder.encode(`data: ${JSON.stringify(payload)}\n\n`));
}, 1000);
// If the client disconnects
req.signal.addEventListener('abort', () => {
clearInterval(intervalId);
controller.close();
});
},
});
// Return streaming response
return new Response(stream, {
headers: {
‘Content-Type’: ‘text/event-stream’,
‘Cache-Control’: ‘no-cache’,
‘Connection’: ‘keep-alive’
}
});
}`
Client (React Component):
tsx
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`import { useEffect } from ‘react’;
export default function SSELogs() {
useEffect(() => {
const eventSource = new EventSource(‘/api/sse’);
eventSource.onmessage = (e) => {
const data = JSON.parse(e.data);
console.log('[SSE] Received:', data);
};
eventSource.onerror = (err) => {
console.error('[SSE] Error:', err);
};
return () => {
eventSource.close();
};
}, );
return
Yes, you can use SSE on Vercel, but note:
Serverless Function Timeouts
Short-Burst SSE with Auto-Reconnect
data: {"type": "end"}.Polling / Hybrid
Dedicated Real-Time Services
Example: SSE with a 25-second limit that “resets”:
js
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`// app/api/logs/route.js
export const runtime = ‘nodejs’;
export async function GET(req) {
const encoder = new TextEncoder();
const start = Date.now();
const maxDuration = 25000; // 25s
let timer;
const stream = new ReadableStream({
start(controller) {
timer = setInterval(() => {
const now = Date.now();
if (now - start >= maxDuration) {
controller.enqueue(encoder.encode(‘data: {“type”: “end”}\n\n’));
clearInterval(timer);
controller.close();
return;
}
const logLine = { message: 'Sync log: ’ + new Date().toISOString() };
controller.enqueue(encoder.encode(data: ${JSON.stringify(logLine)}\n\n));
}, 1000);
req.signal.addEventListener('abort', () => {
clearInterval(timer);
controller.close();
});
},
cancel() {
clearInterval(timer);
}
});
return new Response(stream, {
headers: {
‘Content-Type’: ‘text/event-stream’,
‘Cache-Control’: ‘no-cache’,
‘Connection’: ‘keep-alive’
}
});
}`
Then the client reconnects whenever it receives type: "end".
TypeScript Configuration
"lib": ["DOM"] if you use ReadableStream or EventSource."types": ["node"] if you deal with Node.js streams or older Node APIs.ESLint & Prettier
app/api/ routes.Auto-Completion
ReadableStream, verify you have the correct "lib" entries in your tsconfig.json.EventSource type is included if "DOM" is in lib.Server vs. Browser
window or DOM APIs in your server route. Keep them separate so your IDE doesn’t complain.runtime = 'nodejs' to avoid Edge timeouts.MDN: Server-Sent Events
https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events
Baseline SSE specification, explaining EventSource and data formats.
MDN: Streams API
https://developer.mozilla.org/en-US/docs/Web/API/Streams_API
Overview of the Web Streams standard, including ReadableStream, WritableStream, etc.
Node.js 22 Docs: Web Streams
https://nodejs.org/docs/latest-v22.x/api/webstreams.html
Details on Node’s native Web Streams support, including conversions with Readable.fromWeb() and toWeb().
Node.js 22 Docs: Globals (fetch)
https://nodejs.org/docs/latest-v22.x/api/globals.html#fetch
Explains the built-in fetch, removing the need for external HTTP libraries.
Next.js Documentation: App Router & API Routes
https://nextjs.org/docs/app/building-your-application/routing/router-handlers
Shows how to write streaming responses in app/api/.
Next.js Docs: runtime = 'nodejs'
https://nextjs.org/docs/app/api-reference/next-config-js#runtime
Force a Node.js environment instead of Edge, critical for SSE.
SSE vs. WebSockets vs. Polling
https://ably.com/topic/server-sent-events
Great overview of real-time communication approaches.
GitHub Discussions: SSE with Next.js
https://github.com/vercel/next.js/discussions/12562
Community threads covering various SSE implementations and troubleshooting.
AWS S3 / GCP Storage Docs
TypeScript Configuration Handbook
https://www.typescriptlang.org/docs/handbook/tsconfig-json.html
Ensures your project recognizes the correct types for SSE, Node, or DOM APIs.
This guide is designed to keep SSE running smoothly in Next.js 15 and Node.js 22—including Vercel use cases—without scolding you for wanting logs in real time. Remember: