Cursor: The best way to code with AI

cursor.com

Built to make you extraordinarily productive, Cursor is the best way to code with AI.

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Built to make you extraordinarily productive, Cursor is the best way to code with AI.

Download for Linux\
⤓

Try mobile agent\
→

This element contains an interactive demo for sighted users showing multiple Cursor interfaces: the IDE with AI-powered coding assistance, the CLI with command-line assistance. The interfaces are displayed over a scenic painted landscape wallpaper, giving the demo an artistic backdrop.

Cursor

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train_model.py

run_experiment.py

config.yaml

import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from torchvision import datasets

def get_dataloaders(batch_size=64):
  transform = transforms.Compose([transforms.ToTensor()])
  train = datasets.MNIST(root="data", train=True, download=True, transform=transform)
  test = datasets.MNIST(root="data", train=False, download=True, transform=transform)
  return DataLoader(train, batch_size=batch_size, shuffle=True), DataLoader(test, batch_size=batch_size)

class MLP(nn.Module):
  def __init__(self, hidden=128):
    super().__init__()
    self.net = nn.Sequential(
      nn.Flatten(),
      nn.Linear(28*28, hidden),
      nn.ReLU(),
      nn.Linear(hidden, 10),
    )

  def forward(self, x):
    return self.net(x)

def train_model(epochs=1, lr=1e-3, device=None):
  device = device or ("cuda" if torch.cuda.is_available() else "cpu")
  model = MLP().to(device)
  opt = torch.optim.Adam(model.parameters(), lr=lr)
  loss_fn = nn.CrossEntropyLoss()
  train_loader, _ = get_dataloaders()
+  # Seed for reproducibility
+  torch.manual_seed(42)
+  if device == "cuda":
+    torch.cuda.manual_seed_all(42)
+  # AMP + Scheduler
+  scaler = torch.cuda.amp.GradScaler(enabled=(device=="cuda"))
+  scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(opt, T_max=epochs)
  model.train()
  for epoch in range(epochs):
    total, correct = 0, 0
    for x, y in tqdm(train_loader, desc=f"epoch {epoch+1}"):
      x, y = x.to(device), y.to(device)
      opt.zero_grad(set_to_none=True)
      logits = model(x)
      loss = loss_fn(logits, y)
      loss.backward()
      opt.step()
      scaler.scale(loss).backward()
        scaler.unscale_(opt)
+      torch.nn.utils.clip_grad_norm_(model.parameters(), max_norm=1.0)
      scaler.step(opt)
      scaler.update()
+      preds = logits.argmax(dim=1)
+      total += y.size(0)
+      correct += (preds == y).sum().item()
+    acc = correct / max(1, total)
    scheduler.step()
+    print(f"epoch {epoch+1}: acc={acc:.3f}")
  return model`,

PyTorch MNIST Experiments

Add mixed precision training, learning rate scheduling, and proper validation. Also create an experiment config system so I can easily run different hyperparameter settings.

Thought10s

SearchedPyTorch mixed precision training best practices

Readnotebooks/train_model.py (current implementation)

I'll enhance your MNIST trainer with a complete experiment framework including mixed precision, validation splitting, and proper configuration management. Let me start by rewriting the training module:

AgentGPT-5

cursor-agent

Get CLI

Cursor Agent

~/Repos/ml-research-notebook

PyTorch MNIST Experiments

Add mixed precision training, learning rate scheduling, and proper validation. Also create an experiment config system so I can easily run different hyperparameter settings.

⬢

Thought10s

⬢

SearchedPyTorchmixedprecisiontrainingbestpractices

⬢

Readnotebooks/train_model.py(currentimplementation)

train_model.py+156-34

Now let me update the evaluation module to save results and generate a detailed report:

→ctrl+c to stop

GPT-5

/ for commands · @ for files

Trusted every day by millions of professional developers.

Agent turns ideas into code \
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A human-AI programmer, orders of magnitude more effective than any developer alone.\
\
Learn about Agent →

This element contains an interactive demo for sighted users. It's a demonstration of Cursor's IDE showing AI-powered coding assistance features. The interface is displayed over a scenic painted landscape wallpaper, giving the demo an artistic backdrop.

Cursor

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Analyze Tab vs Agent Usage Patterns

Help me understand how teams split their focus between the tab view and the agents panel across our workspaces.

Planning next moves

AgentGPT-5

Magically accurate autocomplete \
\
Our custom Tab model predicts your next action with striking speed and precision.\
\
Learn about Tab →

Cursor

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Dashboard.tsx

SupportChat.tsx

"use client";

import React, { useState } from "react";
import Navigation from "./Navigation";
import SupportChat from "./SupportChat";

export default function Dashboard() {

  return (
    <div className="flex h-[600px] border rounded-lg overflow-hidden">
      <div className="w-64 border-r">
      </div>
      <div className="w-80 border-l">
        <SupportChat />
      </div>
    </div>
  );
}

Everywhere software gets built \
\
Cursor is in GitHub reviewing your PRs, a teammate in Slack, and anywhere else you work.\
\
Learn about Cursor’s ecosystem →

This element contains an interactive demo for sighted users showing multiple Cursor interfaces: Slack integration for team communication, GitHub integration for code review and debugging. The interfaces are displayed over a scenic painted landscape wallpaper, giving the demo an artistic backdrop.

Slack

Get Cursor for Slack

#ask-cursor

8 members

dylan9/16/2025

small thing but would be really good to have anchor links on the website for releases

4replies

dylan9/16/2025

wanna be able to go to cursor.com/changelog#1.0 to see 1.0 changelog

eric9/16/2025

checks out

@cursor can you take a stab?

CursorAPP9/16/2025

I implemented direct linking for changelog entries and updated Node.js version constraints across the project to improve compatibility and maintainability.

View PROpen in CursorOpen in Web

dylan9/16/2025

Nice @eric can you take a look?

GitHub Pull Request

Get BugBot

Review

cursorbotreviewed1m ago

src/vs/workbench/composer/browser/components/ComposerUnifiedDropdown.tsx

3292

{selectedMode().keybinding}

3293

{composerOpenModeToggleKeybinding}

cursorbot1m ago

Bug: Function Returns Object Instead of String (Logic bug)

The composerOpenModeToggleKeybinding is a function that needs to be called to get its value. Using it directly causes the keybinding display condition to always be truthy.

Fix in Cursor

Fix in Web

The new way to build software.

It was night and day from one batch to another, adoption went from single digits to over 80%. It just spread like wildfire, all the best builders were using Cursor.

Diana Hu General Partner, Y Combinator

The most useful AI tool that I currently pay for, hands down, is Cursor. It's fast, autocompletes when and where you need it to, handles brackets properly, sensible keyboard shortcuts, bring-your-own-model... everything is well put together.

shadcn Creator of shadcn/ui

The best LLM applications have an autonomy slider: you control how much independence to give the AI. In Cursor, you can do Tab completion, Cmd+K for targeted edits, or you can let it rip with the full autonomy agentic version.

Andrej Karpathy CEO, Eureka Labs

Cursor quickly grew from hundreds to thousands of extremely enthusiastic Stripe employees. We spend more on R&D and software creation than any other undertaking, and there’s significant economic outcomes when making that process more efficient and productive.

Patrick Collison Co‑Founder & CEO, Stripe

It’s official.

I hate vibe coding.
I love Cursor tab coding.

It’s wild.

ThePrimeagen @ThePrimeagen

It’s definitely becoming more fun to be a programmer. It’s less about digging through pages and more about what you want to happen. We are at the 1% of what’s possible, and it’s in interactive experiences like Cursor where models like GPT-5 shine brightest.

Greg Brockman President, OpenAI

Stay on the frontier

Access the best models \
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Choose between every cutting-edge model from OpenAI, Anthropic, Gemini, and xAI.\
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Explore models ↗\
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AutoSuggestedComposer 1GPT-5High FastClaude Sonnet 4.5✓Claude Opus 4.5Gemini 3 ProGrok Code

[Complete codebase understanding \
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Cursor learns how your codebase works, no matter the scale or complexity.\
\
Learn about codebase indexing ↗\
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Where are these menu label colors defined?\
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Grepped Choose a model\
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Searching](https://docs.cursor.com/context/codebase-indexing)

Develop enduring software \
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Trusted by over half of the Fortune 500 to accelerate development, securely and at scale.\
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Changelog

2.1Nov 21, 2025\
\
Improved Plan Mode, AI Code Review in Editor, and Instant Grep 2.0Oct 29, 2025\
\
New Coding Model and Agent Interface 1.7Sep 29, 2025\
\
Browser Controls, Plan Mode, and Hooks 1.6Sep 12, 2025\
\
Slash commands, summarization, and improved Agent terminal

See what’s new in Cursor →

Cursor is an applied team focused on building the future of coding.

Join us\
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Recent highlights

Introducing Cursor 2.0 and Composer\
\
A new interface and our first coding model, both purpose-built for working with agents.\
\
product · Oct 29, 2025 Improving Cursor Tab with online RL\
\
Our new Tab model makes 21% fewer suggestions while having 28% higher accept rate.\
\
research · Sep 12, 2025 1.5x faster MoE training with custom MXFP8 kernels\
\
Achieving a 3.5x MoE layer speedup with a complete rebuild for Blackwell GPUs.\
\
research · Aug 29, 2025 View more posts →

Try Cursor now.

Download for Linux\
⤓

Try mobile agent\
→

网站信息

官网地址: https://cursor.com/
域名: cursor.com
收录路径: cursor