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Windsurf, a startup known for its AI-powered coding tools, has launched its first set of AI models, called the SWE-1 series. According to TechCrunch, this launch consists of three models called SWE-1, SWE-1-lite, and SWE-1-mini. These models aim to enhance the entire software development lifecycle, extending beyond mere code generation.
This development follows OpenAI’s $3 billion acquisition of Windsurf, indicating its strategic focus on enhancing AI applications in software engineering. Previously, Windsurf mostly used OpenAI, Anthropic, and Google’s models to help with its work.
The SWE-1 series covers all the important factors and challenges involved in software engineering. While many AI models excel at code generation, they often falter in tasks requiring context across various development environments.
Windsurf’s Head of Research, Nicholas Moy, emphasized this distinction and said, “Today’s frontier models are optimized for coding, and they’ve made massive strides over the last couple of years,” Moy stated. “But they’re not enough for us… Coding is not software engineering.”
The flagship model, SWE-1, is the most robust among the trio. According to internal benchmarks, it performs competitively with models like Claude 3.5 Sonnet, GPT-4.1, and Gemini 2.5 Pro. Still, in several areas of software development, it does not keep up with the advanced Claude 3.7 Sonnet model.
With the help of Windsurf, all types of users can now utilize SWE-1-lite and SWE-1-mini both for free and with a paid license. In contrast, the SWE-1, which has all the features, can only be used by users who subscribe to Adobe Creative Cloud. While exact pricing information has not been disclosed, Windsurf claims that SWE-1 is cheaper to run than Claude 3.5 Sonnet.
“Vibe coding” is a method invented by programmers and windsurf chats have been at the frontline of driving this process. This approach sees people and AI working together, using each other’s strengths to solve problems. Other companies involved in this area are Cursor and Lovable.
The introduction of the SWE-1 model shows that Windsurf is working to make the teamwork process better. Creating their own models allows the company to create tools that are better integrated and more aware of the environment.
In a blog post, Windsurf highlighted the limitations of existing models, stating, “While other models are good at writing code, they struggle to work between multiple surfaces — as programmers often do — such as terminals, IDEs, and the internet.”
To address this, SWE-1 model was trained using a novel data model and a “training recipe that encapsulates incomplete states, long-running tasks, and multiple surfaces.”
By using this approach, the AI can better handle the complexities of software development and help engineers across diverse projects.
As Windsurf continues to develop new AI tools for software development, the SWE-1 series is bringing us closer to simpler and easier ways of programming. Emphasizing the general principles of software engineering, Windsurf works to change the way developers work with AI, bringing them closer together and helping them achieve greater outcomes.