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Traditional coding benchmarks do not reflect how software is actually built and maintained. That's why we built a new benchmark, APEX-SWE, in partnership with Cognition. It measures whether AI models can perform complex, real-world software engineering work to ship systems that work and debug them when they don't. OpenAI...

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adarsh

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206,579 görüntüleme • 2 ay önce •via X (Twitter)

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Wave 9 is here: a frontier model built for software engineering. Introducing our new family of models: SWE-1, SWE-1-lite, and SWE-1-mini. Based on internal evals, it has performance nearing that of frontier models from the foundation labs. Available now, only in Windsurf!
1:40

Wave 9 is here: a frontier model built for software engineering. Introducing our new family of models: SWE-1, SWE-1-lite, and SWE-1-mini. Based on internal evals, it has performance nearing that of frontier models from the foundation labs. Available now, only in Windsurf!

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I'm excited to share that we've built the world's most capable AI software engineer, achieving 30.08% on SWE-Bench – ahead of Amazon and Cognition. This model is so much more than a benchmark score: it was trained from the start to think and behave like a human SWE.
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I'm excited to share that we've built the world's most capable AI software engineer, achieving 30.08% on SWE-Bench – ahead of Amazon and Cognition. This model is so much more than a benchmark score: it was trained from the start to think and behave like a human SWE.

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Are AI agents ready to be your virtual coworker? Can they write your emails, build Excel models, and create slide decks? Introducing APEX-Agents, a frontier benchmark that tests how well AI agents complete real, long-horizon professional services deliverables in Google Workspace. Mercor APEX-Agents Pass@1 leaderboard: 🥇 Google Gemini 3 Flash (High): 24.0% 🥈 OpenAI GPT-5.2 (High): 23.0% 🥉 Paul Jankura Claude Opus 4.5 (High): 18.4%

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Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.

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📣 Introducing SWE-PolyBench: A new open-source multilingual benchmark for evaluating #AI coding agents SWE-PolyBench is the first benchmark to evaluate AI coding agents' ability to understand complex codebases, helping advance AI performance in the real world. Learn more. 👉

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Cognition is partnering with Mercedes-Benz to accelerate software engineering across their global engineering teams, representing one of the most extensive deployments of AI software engineering in the automotive industry to date. Scott Wu sat down with Katrin Lehmann, Mercedes-Benz CIO, to discuss the work:

Cognition

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The new Factory software AI agents just combined OpenAI’s Codex, Devin, and Cursor into one product. They are fully autonomous agents called Droids that perform deep code research, technical docs, and do autonomous end-to-end coding. Here’s how it works (with real examples)👇:

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GPT 4.1 is now my senior software architect / product manager @openai GPT-4.1 is great at instruction following so I asked it to work with me to build an app It's really good for iterating — great for planning and brainstorming! See how we built a plan together 👇🧵

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Software Engineering AI Agent on your machine connects with your apps and tools to automate engineering tasks. It can work with OpenAI, Claude Sonnet 3.5, Gemini and local Llama 3. 100% Opensource and free.
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OpenAI Greg Brockman: GPT-5.5 is not an endpoint — it's a beginning It is an early step toward stronger models arriving in the coming months, with larger gains across many capabilities The focus is not just on better benchmarks, but usefulness in the real world, for real users and real-world work

Haider.

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Most engineering metrics are broken. They count PRs and commits, not real impact. Developer 360 from CodeAnt AI (YC W24) changes that. Built on top of their AI code reviews, it shows what’s actually being built, fixed, or improved— with real visibility into engineering work.

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Here’s the problem: software interfaces are abstract, hardware is instinctive. We don’t learn objects, we recognize them. Buttons, wheels, friction, position they map to how we exist in the real world. Menus, layers, hidden states they fight against it. This is why this feels different. It’s not an app pretending to be a recorder. It’s a recorder that happens to exist in software. Built in wabi

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