Cursor v0.41 can auto-import variables. Try it out in TypeScript!

100+ Cursor AI prompt templates to build full-stack apps... with Python, TypeScript, React and more. Plus, you can use templates for it to function as an API, LLM and Agents expert.show more

try the shadcn plugin in cursor!

Variables in Webflow got a glow up ✨ You... can now drag and drop variables to reorder them, create groups, delete variables, and reorder variables in bulk. Learn more:show more

Fun fact: we built slash commands into Cursor months... ago and we forgot to tell anyone about it 😅 Try it out and let me know what you use it for! Also let me know if you uncover any other secret features in Cursor we should broadcast out 😬show more

Stripe Projects in Cursor 3: "Provision any new services... I need" Railway, PostHog, Vercel provisioned in a single prompt, with environment variables synced.show more

Kimi Slides is live! 🎉 Ideas in, decks out.... In minutes. Coming soon: Adaptive Layout, auto image search & agentic slides. Try it out👉show more

Cursor can now automatically fix issues it finds in... PRs with Bugbot Autofix.show more

Kinetic energy dissipation rate in two-dimensional turbulence. Logarithmic contours.... Plots with Matplotlib Data available here: #Python script to generate plots: import numpy as np import matplotlib as mpl import matplotlib.colors as colors import matplotlib.pyplot as plt from netCDF4 import Dataset f1=Dataset(' mode='r') dissipation = f1.variables['dissipation'][:,:,:] x = f1.variables['x'][:] y = f1.variables['y'][:] n = dissipation.shape for k in range(0, n[0]): fig, ax = plt.subplots(1,1, figsize=(8,8)) cs1 = ax.contourf(x, y, dissipation[k,:,:], np.logspace(-5,1,101), cmap='Blues_r', extend='both', norm=colors.LogNorm()) ax.set_aspect('equal') ax.xaxis.set_ticks(range(0,7)) ax.yaxis.set_ticks(range(0,7)) ax.set_xlabel(r'$x$') ax.set_ylabel(r'$y$') fname = 'frame.' + str(k) + '.png' plt.savefig(fname, dpi=200, pad_inches = 0.1) print(fname) plt.close()show more

GDScript Formatter can reorder your GDScript code for you!... Signals and variables first, then built-in Godot functions, then public and private custom functions, etc. It follows the official style guide. It's open source, written in Rust, and runs fast. Give it a try:show more

You can go try it out on EmoteLab😌

You can try it out on your own images... here (~1.3GB model download in your browser)show more

Lots of people asked for it, so here it... is. You can now import your entire backlog of X bookmarks into GatherOS, in addition to automatically syncing every new one you save. Next up: Instagram bookmarks Try it free:show more

You can now bulk select and edit multiple tracks.... Try it out in our latest update.show more

Auto-review mode is now available in Cursor. It allows... agents to run tool calls with fewer approval prompts and safer execution.show more

You can now quickly edit entire files in Cursor

Tested out the new Meta Horizon Worlds Desktop tools... just to see how easy it is to import 3D models. Pretty easy actually. Very curious to try more.show more

We just shipped /agent support to the Firecrawl MCP... 🚀 Now you can use /agent directly inside ChatGPT, Claude, Cursor, and more. Describe the data you need and watch it search the web, navigate, and return structured data without leaving your workflow. Try it out today 👇show more

just shipped multi-select bookmarks to you can try it... out for yourself.show more

subagents are just recursive agents where you can apply... different prompts + models depending on the task. since they’re just a primitive, Cursor cli can actually spawn subagents by calling cursor-agent in headless mode via shell commands. that’s what makes the cli so nice. you can extend it, experiment, and have a lot of fun exploring orchestration patterns. here’s one way to do it w. dynamic model selection: 1. create a subagents.mdc rule 2. drop in: ``` --- alwaysApply: true --- ALWAYS spawn subagents by running `cursor-agent -p [task] --output-format=text --force --model [model]` in the terminal. Each subagent should return a summary of the changes it made. Subagents should be used for ALL tasks You can adopt a fan-out pattern where you spawn subagents to perform parallel isolated tasks, and then fan-in the results. Use the following models: - `--model gpt-5` for reasoning, researching, and planning - `--model sonnet-4` for implementation ``` 3. start cursor cli and try it out you can also adjust the rule to be more explicit when it should use subagents, when not to, which models when etc.show more