"Finally, it's no longer a shell of GPT."
Just today, the AI programming community was treated to a big announcement - theCursor officially releases version 2.0, and for the first time carries its own big model: Composer.The
This means that Cursor, which used to be "cloaked in VS Code and relied on Claude/GPT for support", is now the most important tool in the world.Officially evolving into a true AI native development platformThe
What's even more amazing is that Composer's code generation is as fast as 250 tokens/secondFaster than GPT-5, Claude Sonnet 4.5. 2 timesThe model is faster than similar open-source models 4 times!
And it's not "fast but stupid", it'sFast and smart.-Trained for real development scenarios, able to write your own code, test and fix your own bugs.
Today, we're going to experience it in depth:What's so great about Composer? How can the average developer use it?
🚀 What is Composer? It's not just about being fast, it's about being "good at what you do."
Composer is the Cursor team's in-house development of the The Mixed Expert (MoE) Programming MegamodelThere is only one core objective:Efficient completion of tasks in a real development environmentThe
Key Features:
- speed bumpThe program can be used to perform complex multi-step encoding tasks in less than 30 seconds, at 250 tokens/second;
- Enhanced learning driveInstead of relying on static data to "memorize" the questions, you can "practice" in the real code base;
- Tool Native Integration: The ability to invoke a full set of development tools such as semantic search, terminal commands, file editing, unit testing and more;
- Long Context Support: Handle large projects with ease and understand the structure and logic of the entire code base;
- self-healing ability: Automatically runs linter, fixes formatting errors, and patches test cases.
It's not about "generating a piece of code", it's about "delivering a function that runs".
🧪 Real-world examples: what can Composer really do for you?
✅ Case 1: Automated Testing + Iteration Until the Code Works
take: You've asked Composer to implement a new feature, but the first time it generates code it has bugs.
traditional model: It's over when it's done, you'll have to debug it yourself.
Composer::
- Automatically run unit tests;
- Analyze the error log when you find a failure;
- Automatically modify the code and retest it;
- Until the function is fully passedThe
In testing, it closes the loop of "write code → test → fix → retest" in seconds.

✅ Case 2: Voice Generated Code - Open your mouth and write a program!
directives(voice input):
"Create a React component that displays the user's avatar and last three updates with the Tailwind style."
in the end::
- Composer immediately parses the speech;
- Generate complete
.jsxDocumentation; - Automatically import dependencies, handle API mock, add responsive layouts;
- Code style is consistent with the project's existing specifications.
Write code with your mouth instead of a keyboard - real "Vibe Coding".
✅ Case 3: Multi-Agent Parallel Development with Meritocracy
The new Cursor 2.0 interface features "Agent-centric", supports running multiple intelligences at the same time.
real scene (not set up or posed)::
- The same requirement (e.g. "Optimize homepage loading speed") is given to both the 3 Composer Agent.;
- Each Agent works in a separate Git Worktree;
- Once done, you can in the interfaceHorizontal Comparison Program, choose the optimal solution.
It's like hiring 3 interns at the same time, each handing in a proposal and you just pick the best.

✅ Case 4: Large Project Understanding + Semantic Search
mandates::
"In our e-commerce program, find all the places where the payment interface is called and upgrade to the new SDK uniformly."
Composer Operations::
- invocations Library-wide semantic searchPositioning
paymentServiceRelated Documents; - Analyze the call links and identify 7 key modules;
- Automatic generation of migration scenarios + compatibility check;
- outputs a commented diff file for you to review.
It's not about "guessing where you use it", it's about "knowing how the whole program works".

🛠️ The technical undercard: Why is Composer so powerful?
1️⃣ Intensive Learning + Real World Training
- Composer is not trained on a "toy dataset", but on the Real Cursor Development EnvironmentThe process is carried out in the middle;
- Each training session corresponds to a real task: writing functionality, changing architecture, interpreting code;
- The model mustDo-it-yourself, verify it, and fix it, in order to get the bonus signal.
2️⃣ In-house infrastructure: Kilocal GPUs + MXFP8
- Building a training system based on PyTorch + Ray;
- utilization MXFP8 Low Precision Training, which allows high-speed reasoning without quantization;
- Supports thousands of NVIDIA GPUs in parallel for full training efficiency.
3️⃣ Cursor Bench: A Review Designed for Developers
- Do not look at "can generate", but "can run through, in line with engineering specifications";
- The test set comes from real requests from Cursor engineers and is extremely gold.


🌟 How is it experienced?
Composer hasFull integration into Cursor 2.0No additional configuration is required.
- Official Website Download::https://cursor.com(Windows / macOS / Linux supported)
- Free Trial: Composer is currently free for all users.
- Multi-model switching: The GPT/Claude option remains, but Composer is now the default recommendation.
Note: Composer currentlyCursor internal use onlyThe following is a list of the most popular features of the program, which are not open APIs or open source.
🔚 Write at the end
In the past, we said that Cursor was the "best AI editor";
Now it is becoming "The first AI colleague who actually understands development"The
The emergence of Composer signaled a trend:
The programming tools of the future will no longer "help you write code", but "do the job for you".The
It may not be perfect - sometimes over-optimizing and occasionally misunderstanding requirements.
But it's unmistakable in its direction:Bringing developers from "coders" back to "creators"The
As the Cursor team says:
"We're not building faster horses, we're building the first automobile."
And you, perhaps, are sitting in the driver's seat.
Upgrade to Cursor 2.0 today and experience the thrill of encoding at 250 tokens/second!
🔗 https://cursor.com