This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.
Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.
Wow... A YC-backed startup just turned game development into a single text box.
It's called CodeWisp. Type what you want and it gives you a playable game right in your browser.
No Unity. No Godot. No 5 years of tutorials. Just describe and play.
100% browser-based.
CodeWisp is a browser-based AI game builder backed by Y Combinator.
You describe the game you want in plain English.
It generates the complete code, structure, and assets automatically.
2D games. 3D games. Multiplayer browser games. All from a single prompt.
Here's how the workflow actually runs:
→ Open the browser editor (no download, no install)
→ Describe your game: mechanics, enemies, physics, levels, visuals
→ CodeWisp generates it instantly
→ Prompt edits to refine anything
→ Publish with a shareable link in one click
AntLingAGI dropped a 1T parameter model that runs like it's 7B.
No reasoning-model delay. No 40-second thinking spiral. Just instant answers at frontier scale.
Free on OpenRouter starting tonight for a full week.
Here's what I found after testing it ↓
First thing I noticed: token efficiency is wild.
Most 1T-class models burn through context like they're trying to lose a bet. Ling-2.6 gets to the answer without the usual 800-token preamble about what it's "about to do."
Feels built by people who actually use these models.
1M context window.
I threw an entire repo at it. No degradation at depth. Pulled specifics from the middle of the context without the usual "lost in the middle" collapse.
This alone makes it worth testing if you work with large codebases or long docs.