What the people actually building AI said today. One page — a 2-min read.
Claude Duet brought proactive agents closer to everyday work, while builders shared a clearer picture of where those agents help and where they still fall short. AI driven security risks and defenses were the other urgent theme.
Claude Duet opens a US waitlist for a proactive personal agent
Claude Duet is an early research preview for Pro and Max users in the US. Built around Claude Opus 5.5, it uses memory, skills, and connected apps to identify work that needs attention, though Claude says it can still misjudge urgency. Important decisions stay with the user.
Vercel deploys firewall protection ahead of a Node.js patch
Vercel says it rolled out firewall mitigations for a Node.js remote code execution vulnerability before the official patch, automatically protecting traffic to all deployments. It is also monitoring the issue and rolling out managed runtime upgrades. Separately, Vercel added DeepSeek v4.1 Flash to Token Pass for inexpensive subagent work.
Two weeks with Duet reveal a useful agent with clear limits
After two weeks testing Claude Duet, Shipper says he opens it daily and now splits his time roughly evenly between Claude and ChatGPT. He likes its separate app, work channels, task list, and document editing. It cannot direct his desktop Claude sessions, its email drafts lag behind dot's, and voice works only as transcription.
Levie expects AI agents to expand cybersecurity work
Levie argues that agents will help both attackers and defenders inspect code, logs, and traffic at a scale previously out of reach. He predicts enterprises will invest heavily in security systems and people who can direct agents, review findings, patch systems, and respond to incidents.
Every's frontier team turns AI experiments into usable workflows
Every's dedicated frontier team tests new models, measures performance on real work, and turns promising experiments into tools the wider company can use. Its members describe a practical division of labor between rapid experimenters and engineers who make projects reliable. As one member puts it: “If you do a hundred experiments and don't let it land and don't integrate it, it doesn't work.”
Steinberger says GPT-5.6 Sol found a PHP vulnerability
Steinberger says GPT-5.6 Sol found the PHP vulnerability expected to cause trouble this week. His post gives no technical details, but it is a concrete example of an AI model being used to discover a security flaw.
Pigment and Legora announce large Series E rounds
Turck reports a $250 million Series E for Pigment and a $550 million Series E for Legora. An investor in Pigment since its seed round, he argues that tokens, APIs, and agents are pushing companies toward continuous financial planning.
AI may make building more compelling than using
Agarwal watched his son spend about three hours watching Star Wars and about 20 hours making games about it, then barely play them. He thinks AI could make the enjoyment programmers get from creating software available to far more people.
Source data comes from the open-source project follow-builders by zarazhangrui, released under the MIT license. Summaries are generated by an LLM from that project's public feeds, and the summarization prompts are adapted from it. Every item above links to its original source.
Summaries generated automatically. Read the original before relying on any claim.
