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the brief
A quiet but pointed day: OpenAI launched a $150M Partner Network to scale enterprise deployments while Vercel eased Blob storage limits for hobby projects. ByteDance open-sourced Deer-Flow, a long-horizon agent harness, and Normal Tech’s essay pushed back on “AI replaces devs,” emphasizing augmentation over automation.
OpenAI is funding a global partner ecosystem to accelerate enterprise AI adoption and deployment, signaling a stronger channel strategy and services focus around its platform.
Introducing the OpenAI Partner Network — OpenAI launches the Partner Network, investing $150M to help global partners accelerate enterprise AI adoption, deployment, and transformation.
Hobby users can now create up to 100 Blob stores (up from 5), improving per-project, environment, and region organization while existing storage and transfer limits remain.
Increased Blob store limit for Hobby users — Hobby users can now create up to 100 Blob stores, up from 5. This gives teams more flexibility to organize data by project, environment, or region as applications grow. Storage, operations, and transfer limits still apply. Learn more in the .Blob documentation Read more
Deer-Flow is a long-horizon agent harness with sandboxes, memory, tools, subagents, and a message gateway designed to tackle tasks spanning minutes to hours.
GitHub - bytedance/deer-flow: An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. — An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours. - bytedance/deer-flow
Arvind Narayanan and Sayash Kapoor argue software engineering remains augmentation-first, citing evidence that ambiguity, integration, and collaboration limit full automation despite strong code-assist gains.
Why AI hasn’t replaced software engineers, and won’t — <p><strong><a href="https://www.normaltech.ai/p/why-ai-hasnt-replaced-software-engineers">Why AI hasn’t replaced software engineers, and won’t</a></strong></p> Arvind Narayanan and Sayash Kappor take on the question of AI job losses through the lens of a profession that is uniquely suited to AI disruption - software engineering.</p> <blockquote> <p>In this essay, we argue that there is enough evidence to reject the narrative that once AI ...