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Thursday, Windsorf, a startup that develops popular AI tools for software engineers, Declaration The first family of the AI software engineering models, or the introduction of SWE-1 in short. The startup says that this is not just coding, but for the “whole software engineering process”, the new family of AI models-SW-1, SW-1-Lite and SWI-1-Mint-1-Minit-study.
The introduction of Windsaroff’s in-house AI models due to OpenAIA may come as a push to someone Windsorf has stopped a 3 billion dollar deal to achieveThe However, the launch of this model suggests that Windsoroff simply trying to expand the applications to develop models that strengthen their energy.
According to WindsorfThe largest and most capable AI model of the bunch performs competitively with the GPT -1, GPT -4.1, and internal programming benches in the bunch of SWI -1, Claud 3.5. However, in the Swe-1 software engineering functions, Frontier AI models like Claud 3.7 Sonnet seem to be lower.
Windsorf says that its SW -1 -Lite and SW -Mint -1 -Minit models will be available for free or payment for all users on its platform. Meanwhile, SWC -1 is only available for the payment of the payment. Windsorf did not immediately announce the price for its SW -1 models, but claimed that it was cheaper to serve 3.5 Sonnet.
Windsorf is best known for equipment that allows software engineers to write and edit the code through an AI chatboat conversation, which is a practice known as “Vibe Coding”. Other popular Vibe-Coding Startups include cursor, the largest in space, as well as loving. Most of these startups, including Windsorf, have relied on OpenAI, ethnographic and Google’s AI models to get their applications.
SWE models announced in a video, Windsaroff’s research chief, Nicholas Mai, Underscore to Windsaroff’s new effort to distinguish its approach. “Today’s border models are favorable for coding and they have taken a lot of steps over the past few years,” said Mou. “But they are not enough for us … Coding software is not engineering” “
Windsorph notes on a blog post that other models are good for writing codes, but they strive to work within multiple surfaces – such as programmers do often – such as terminals, IDEs and internet. Startup says that SWC -1 was trained using a new data model and a “training recipe that binds incomplete states, long -running work and multiple surfaces.”
The startup describes the “initial proof of the concept” of SWWI -1, it is suggested that it can publish more AI models in the future.