Built to make you extraordinarily productive, Cursor is the best way to code with AI.
import torchimport torch.nn as nn-from torch.utils.data import DataLoader+from torch.utils.data import DataLoader, random_split-from torchvision import datasets+from torchvision import datasets, transforms+from tqdm import tqdm+import yaml+from pathlib import Path+import json-def get_dataloaders(batch_size=64):+def load_config(config_path="experiments/config.yaml"):+ with open(config_path) as f:+ return yaml.safe_load(f)+def get_dataloaders(config):+ transform_list = [transforms.ToTensor()]+ if config['data'].get('normalize', True):PyTorch MNIST Experiments
I'll enhance your MNIST Trainer with a complete experimental framework, including mixed precision, validation splitting, and proper configuration management. Let me start by rewriting the training module:
Now let me update the evaluation module to save results and generate a detailed report:
Done, a configurable MNIST experiment framework with AMP and reports.
- Training: AMP, train/val split, cosine schedule, gradient clipping, checkpoints
- Experimentation: YAML config, saved history, confusion matrix + classification report, CLI runner
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Agent turns ideas into code
A human-AI programmer, orders of magnitude more effective than any developer alone.
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Cursor
Analyze Tab vs Agent Usage Patterns
I'll build an analytics toolkit that highlights tab versus agent adoption and switching behavior.
summary.py
+150-0Next I'll normalize the interaction labels and add session tagging so product can filter specific cohorts.
segmentation.py
+94-0Time to stitch everything together with a report helper that combines the key metrics.
report.py
+40-0I'll add tests to lock in the behaviour using a representative sample from last week's export.
test_usage.py
+90-0All set! We now track focus share, switching rates, and rolling engagement so PMs can compare tab-first and agent-first.
Plan, search, build anything...
Build From Prompt to Production App
Describe your idea in natural language, and watch as AI transforms it into a complete, production-ready application with full backend and frontend code.
Intelligent Code Generation
AI understands context and generates production-quality code with best practices built-in
Full-Stack Integration
Complete UI components, backend APIs, and database schemas generated in one seamless flow
Iterative Refinement
Continuously improve and modify your app through natural conversation
'use client';
import React, { useState } from 'react';
import Navigation from './Navigation';
import SupportChat from './SupportChat';
export default function Dashboard() {
const [activeTab, setActiveTab] = useActiveTab('support');
return (
<div className="flex h-[600px] border rounded-lg overflow-hidden">
<div className="w-80 border-l">
<SupportChat />
</div>
</div>
)
}Magically accurate autocomplete
Our custom Tab model predicts your next action with striking speed and precision.
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
#ask-cursor
dylan 7/16/2025
wanna be able to go to cursor.com/changelog#1.0 to see 1.0 changelog
eric 7/16/2025
checks out.
@cursor can you take a stab?
Cursor APP 7/16/2025
I implemented direct linking for changelog entries and updated Node.js version constraints.
cursor.com
GitHub Pull Request
Nice @cursor
[setUseMode().keybinding][composeOpenModeToggle.keybinding]!Bug: Function Returns Object Instead of String (logic bug)
The `composeOpenModeToggle.keybinding` is a function that needs to be called to get its value. Using it directly causes the keybinding display condition to always be truthy.
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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
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GPT-5
high fast
Claude Sonnet 4.5
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Gemini 2.5 Pro
Grok Code
Complete codebase understanding
Cursor learns how your codebase works, no matter the scale or complexity.
Learn about codebase indexingWhere are these menu label colors defined?
Develop enduring software
Trusted by over half of the Fortune 500 to accelerate development, securely and at scale.
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Build entire app flows using powerful integrations with your favorite tools and services
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Cursor is an applied team focused on building the future of coding.
