Latest news with #SWE-1
Yahoo
23-05-2025
- Business
- Yahoo
Vercel debuts an AI model optimized for web development
The team behind Vercel's V0, an AI-powered platform for web creation, has developed an AI model it claims excels at certain website development tasks. Available through an API, the model, called "v0-1.0-md," can be prompted with text or images, and was "optimized for front-end and full-stack web development," the Vercel team says. Currently in beta, it requires a V0 Premium plan ($20 per month) or Team plan ($30 per user per month) with usage-based billing enabled. The launch of V0's model comes as more developers and companies look to adopt AI-powered tools for programming. According to a Stack Overflow survey last year, around 82% of developers reported that they're using AI tools for writing code. Meanwhile, a quarter of startups in Y Combinator's W25 batch have 95% of their codebases generated by AI, per YC managing partner Jared Friedman. Vercel's model can "auto-fix" common coding issues, the Vercel team says, and it's compatible with tools and SDKs that support OpenAI's API format. Evaluated on web development frameworks like the model can ingest up to 128,000 tokens in one go. Tokens are the raw bits of data that AI models work with, with a million tokens being equivalent to about 750,000 words (roughly 163,000 words longer than "War and Peace"). Vercel isn't the only outfit developing tailored models for programming, it should be noted. Last month, JetBrains, the company behind a range of popular app development tools, debuted its first "open" AI coding model. Last week, Windsurf released a family of programming-focused models dubbed SWE-1. And just yesterday, Mistral unveiled a model, Devstral, tuned for particular developer tasks. Companies may be keen to develop — and embrace — AI-powered coding assistants, but models still struggle to produce quality software. Code-generating AI tends to introduce security vulnerabilities and errors, owing to weaknesses in areas like the ability to understand programming logic. This article originally appeared on TechCrunch at Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
22-05-2025
- Business
- Yahoo
Vercel debuts an AI model optimized for web development
The team behind Vercel's V0, an AI-powered platform for web creation, has developed an AI model it claims excels at certain website development tasks. Available through an API, the model, called "v0-1.0-md," can be prompted with text or images, and was "optimized for front-end and full-stack web development," the Vercel team says. Currently in beta, it requires a V0 Premium plan ($20 per month) or Team plan ($30 per user per month) with usage-based billing enabled. The launch of V0's model comes as more developers and companies look to adopt AI-powered tools for programming. According to a Stack Overflow survey last year, around 82% of developers reported that they're using AI tools for writing code. Meanwhile, a quarter of startups in Y Combinator's W25 batch have 95% of their codebases generated by AI, per YC managing partner Jared Friedman. Vercel's model can "auto-fix" common coding issues, the Vercel team says, and it's compatible with tools and SDKs that support OpenAI's API format. Evaluated on web development frameworks like the model can ingest up to 128,000 tokens in one go. Tokens are the raw bits of data that AI models work with, with a million tokens being equivalent to about 750,000 words (roughly 163,000 words longer than "War and Peace"). Vercel isn't the only outfit developing tailored models for programming, it should be noted. Last month, JetBrains, the company behind a range of popular app development tools, debuted its first "open" AI coding model. Last week, Windsurf released a family of programming-focused models dubbed SWE-1. And just yesterday, Mistral unveiled a model, Devstral, tuned for particular developer tasks. Companies may be keen to develop — and embrace — AI-powered coding assistants, but models still struggle to produce quality software. Code-generating AI tends to introduce security vulnerabilities and errors, owing to weaknesses in areas like the ability to understand programming logic. Error while retrieving data Sign in to access your portfolio Error while retrieving data
Geeky Gadgets
20-05-2025
- Geeky Gadgets
New Windsurf SWE-1 AI Models Fully Tested : Smarter, Faster, Affordable Coding?
What if the future of coding wasn't just faster but smarter, more accessible, and cost-efficient? Windsurf's latest innovation, the SWE-1 AI models, promises to redefine how developers approach their craft. Designed to balance performance optimization with affordability, these models aim to tackle coding challenges head-on, offering lightning-fast execution times and specialized capabilities for tasks like user interface development. Yet, as with any bold leap forward, the journey is not without its hurdles. Early tests reveal both exciting breakthroughs and critical limitations, sparking a broader conversation about the evolving role of AI in software development. GosuCoder shows how SWE-1 and its lighter counterpart, SWE-1 Light, stack up against competitors and whether they deliver on their ambitious claims. From their strengths in code generation to their struggles with tool reliability, these models present a fascinating case study in innovation meeting real-world complexity. What makes them stand out? Where do they fall short? And most importantly, what do these developments mean for the future of coding? As we delve deeper, you'll uncover not just the technical details but also the broader implications of Windsurf's latest venture—a story of potential, progress, and the challenges that come with reshaping an industry. Windsurf AI Coding Models Performance and Capabilities The SWE-1 and SWE-1 Light models excel in generating new code and handling user interface tasks, making them valuable tools for developers working on fresh projects or interface-heavy workflows. When benchmarked against advanced models like Claude 3.5 Sonnet, SWE-1 demonstrates competitive performance, particularly in terms of speed and cost efficiency. Its ability to deliver results faster than many of its counterparts makes it an attractive choice for workflows requiring quick turnaround times. SWE-1 Light, while less robust, has proven effective in specific coding scenarios, successfully passing several custom unit tests. Despite these strengths, both models face notable challenges. SWE-1 struggles with tool-calling reliability, occasionally failing to execute tasks as intended. Additionally, both models exhibit inconsistent performance, with high variability in evaluation results. These fluctuations can undermine their reliability, especially in complex or high-stakes coding environments. Addressing these issues will be critical for making sure consistent outputs across diverse use cases. Strengths and Weaknesses Windsurf's AI models bring several key advantages to the table, positioning them as noteworthy contenders in the AI coding landscape. Their strengths include: High-quality code generation, particularly for new projects and user interface development. Faster execution times compared to many competitors, allowing more efficient workflows. Cost-effective solutions that make advanced AI capabilities more accessible to a wider audience. However, these models also reveal significant weaknesses that limit their broader applicability: Limited ability to edit and comprehend complex, existing codebases, which restricts their utility in maintaining or improving legacy systems. Inconsistent performance, with occasional drops in reliability during evaluations, leading to unpredictable outcomes. Tool-calling failures that can result in error loops or incomplete task execution, particularly in more intricate workflows. These limitations underscore the models' early-stage development and highlight the need for ongoing improvements to address critical gaps in functionality. While their strengths suggest potential, their weaknesses must be resolved to ensure they meet the demands of professional developers. Windsurf SWE-1 AI Models Tested Watch this video on YouTube. Here are additional guides from our expansive article library that you may find useful on AI coding tools. Development Context and User Feedback As part of their early-stage rollout, SWE-1 and SWE-1 Light are currently offered for free, a strategic move by Windsurf to gather valuable user feedback and performance data. This approach reflects the company's commitment to creating cost-efficient, high-performing AI tools with minimal computational overhead. By prioritizing accessibility, Windsurf aims to provide widespread access to advanced coding assistance for a broader audience. User feedback has been mixed. Testers have praised the models' potential, particularly their ability to deliver high-quality outputs in specific tasks such as generating new code or designing user interfaces. However, frustrations have emerged over inconsistencies, tool failures, and difficulties in handling existing codebases. These recurring pain points highlight the need for further optimization and refinement. Despite these challenges, there is optimism about the models' future, as their strengths suggest significant room for growth and improvement. Future Outlook Windsurf's development of proprietary AI models positions the company as a competitive player in the rapidly evolving AI coding tools market. The SWE-1 and SWE-1 Light models showcase the potential for innovation with limited resources, offering a glimpse into the possibilities of cost-efficient AI solutions that cater to developers' needs. To achieve widespread adoption, Windsurf must address the models' current shortcomings, particularly their inconsistent performance and challenges with existing code. By using user feedback, collecting more data, and iteratively refining the models, Windsurf has the opportunity to transform SWE-1 and SWE-1 Light into reliable tools that meet the diverse needs of developers. This iterative approach will be essential for building trust and making sure the models can handle a wide range of coding tasks with precision and reliability. As the AI market continues to expand, Windsurf's success will depend on its ability to balance innovation with practical usability. Delivering tools that not only perform well but also address real-world challenges will be key to standing out in a crowded field. For now, SWE-1 and SWE-1 Light represent a promising foundation, offering a starting point for future advancements in AI-driven coding assistance. With continued development and refinement, these models could play a pivotal role in shaping the future of coding workflows. Media Credit: GosuCoder Filed Under: AI, Technology News, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Yahoo
16-05-2025
- Business
- Yahoo
Vibe-coding startup Windsurf launches in-house AI models
On Thursday, Windsurf, a startup that develops popular AI tools for software engineers, announced the launch of its first family of AI software engineering models, or SWE-1 for short. The startup says it trained its new family of AI models — SWE-1, SWE-1-lite, and SWE-1-mini — to be optimized for the "entire software engineering process," not just coding. The launch of Windsurf's in-house AI models may come as a shock to some, given that OpenAI has reportedly closed a $3 billion deal to acquire Windsurf. However, this model launch suggests Windsurf is trying to expand beyond just developing applications to also developing the models that power them. According to Windsurf, SWE-1, the largest and most capable AI model of the bunch, performs competitively with Claude 3.5 Sonnet, GPT-4.1, and Gemini 2.5 Pro on internal programming benchmarks. However, SWE-1 appears to fall short of frontier AI models, such as Claude 3.7 Sonnet, on software engineering tasks. Windsurf says its SWE-1-lite and SWE-1-mini models will be available for all users on its platform, free or paid. Meanwhile, SWE-1 will only be available to paid users. Windsurf did not immediately announce pricing for its SWE-1 models but claims it's cheaper to serve than Claude 3.5 Sonnet. Windsurf is best known for tools that allow software engineers to write and edit code through conversations with an AI chatbot, a practice known as "vibe coding." Other popular vibe-coding startups include Cursor, the largest in the space, as well as Lovable. Most of these startups, including Windsurf, have traditionally relied on AI models from OpenAI, Anthropic, and Google to power their applications. In a video announcing the SWE models, comments made by Windsurf's Head of Research, Nicholas Moy, underscore Windsurf's newest efforts to differentiate its approach. "Today's frontier models are optimized for coding, and they've made massive strides over the last couple of years," says Moy. "But they're not enough for us … Coding is not software engineering." Windsurf notes in a blog post that 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. The startup says SWE-1 was trained using a new data model and a "training recipe that encapsulates incomplete states, long-running tasks, and multiple surfaces." The startup describes SWE-1 as its "initial proof of concept," suggesting it may release more AI models in the future. This article originally appeared on TechCrunch at Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
15-05-2025
- Business
- Business Wire
Windsurf Launches SWE-1: A Frontier AI Model Family Built for the Full Software Engineering Lifecycle
MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- Windsurf, the company transforming how software is built, today announced the launch of SWE-1, its first family of proprietary AI models designed to accelerate the entire software engineering process, not just code generation. The SWE-1 family includes three models optimized for different workflows and user tiers, and marks Windsurf's entry into frontier model development with performance competitive to foundational models for software-relevant tasks. 'Writing code is only a fraction of what engineers do,' said Varun Mohan, CEO and co-founder of Windsurf. 'To truly accelerate software development by 99%, we had to move beyond 'coding-capable' models and build software engineering-native models. SWE-1 is our first step in that direction, building a foundation for the future state.' Meet the SWE-1 Family: SWE-1: Windsurf's full-size model, built for advanced reasoning and tool use. Available for unlimited use to all paid users. SWE-1-lite: A smaller but powerful model that replaces Cascade Base, now available for unlimited use to all users, free and paid. SWE-1-mini: A lightweight model powering Windsurf Tab, designed for fast, passive code prediction, now unlimited to all free and paid users. Powered by Flow Awareness SWE-1 was made possible through Windsurf's core design principle: flow awareness, the ability for humans and AI to operate on a shared timeline. This deep integration between the Windsurf Editor and its models allows seamless, context-aware collaboration and sets the foundation for continuously improving model performance at scale. 'Flow awareness lets us see exactly where models succeed or fail, down to the individual decision point. That feedback loop is our competitive edge,' said Anshul Ramachandran, Founding Team. With a continuous stream of user feedback, Windsurf has been steadily building the richest representation of a shared timeline for software engineering work. SWE-1 is the initial proof of concept for understanding a true end-to-end timeline. What's next While SWE-1 represents Windsurf's first venture into frontier model development, it won't be the last, and it is a testament to what can be achieved with a small engineering team and a limited scope of compute. The company plans to invest aggressively in SWE models and intends on rapidly expanding its machine learning research team going forward. Developers can begin using the SWE-1 model family with the Windsurf Editor by visiting today. About Windsurf: Windsurf is a generative AI-powered software development platform helping engineers move faster, reduce technical debt, and build with greater confidence. With code-native models and flow-aware tools, Windsurf integrates seamlessly into existing workflows to enable higher-quality engineering at scale.
