AI Coding Live News

At KubeCon North America on November 10, NVIDIA contributed OpenShell, its open-source security runtime for AI agents, to CNCF as a Sandbox project. OpenShell enforces access to files, networks, credentials, and model endpoints in the infrastructure outside the agent. The project is moving from NVIDIA's GitHub to the neutral ai-openshell organization and is adopting Cedar, another CNCF project, as its policy language. NVIDIA is also contributing to Google-led Agent Substrate and released three open-source Kubernetes components: NVKE, NVKR, and Snapshot. Teams running agents on Kubernetes now get a vendor-neutral permission and isolation layer.

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On November 10, Meta FAIR researcher Swann Bessa announced e-means on X, a clustering algorithm that replaces classic Lloyd k-means and is open-sourced in FAISS 1.16.0. It swaps full-batch iterations for mini-batch updates with exponential moving averages, and fitted scaling laws set the batch size and step size automatically, so k is the only setting. The paper says that on a range of embedding datasets e-means beats the loss Lloyd reaches after 25 epochs in 1.4 to 2.6 epochs, running 10-45x faster than Flash-KMeans on GPU and 8-15x faster than FAISS k-means on CPU (authors' figures). Teams building vector indexes, RAG pipelines, or dedup jobs can speed up this step directly.

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On November 10, Anthropic added two new artifact types to Claude: Claude Whiteboards, a board teams can edit together, and Claude Sheets, a shared spreadsheet with tabs, formulas, and drop-downs, both in beta on all paid plans. Claude Dashboards, which entered beta in October, is renamed Claude Data and is now generally available, adding data stories, certified queries, and live sharing. Interactive connectors can now open full apps such as Adobe, Atlassian, Box, and Notion beside the conversation or in full screen, where you or Claude can make changes directly. The features are rolling out gradually starting today.

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Wharton professor Ethan Mollick shared an experiment on X on November 9: from a one-paragraph description, Claude built a site that flies endlessly through 3D worlds linked by portals. Twenty hours in there were 204 worlds; the open-source repo now holds 471 worlds and about 1.4 million lines of JavaScript. On his blog he says the agent teams later built their own review bureaucracy, with a rule book that grew to 204 sections, slowing output from hundreds of worlds a day to about a dozen. The post drew 1,262 likes and 158 replies in about 10 hours.

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On 2026-11-06 Amp (ampcode.com) launched Spaces: a Space is a conversation with one orchestrator agent that understands a goal, decomposes work, and creates/coordinates parallel threads so users need not manage threads by hand. Official examples include co-building a feature, running a service-accounts launch, and a security review split across 16 areas. Start from the Spaces sidebar with + (title + project); teammates comment in the same chat, and Amp reads comments only when @-mentioned.

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Starting 2026-11-07 (Singapore time), Qoder International gives individual users a limited-time daily free allowance for stealth model Qoduck: within the allowance the Credit rate drops from 0.5x to 0.0x, including at maximum thinking intensity. Official docs say the model's identity is undisclosed; Teams/Enterprise and IDE/CLI are out of scope for now.

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On November 3 GitHub announced on its official changelog that GitHub Copilot is now available in JetBrains Air. The integration is built on the Agent Client Protocol (ACP): developers pick Copilot in Air's agent picker, delegate coding tasks, track several sessions in parallel and review changes next to their code. Tasks can run locally in a JetBrains IDE or in isolated cloud environments through Air Teams, and they draw on the Copilot subscription rather than JetBrains AI credits.

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Cognition released SWE-2 Flash on November 4 (19:55 UTC). Its official blog says the model is built on Thinking Machines' Inkling-Small (276B total, 12B active parameters) and, for the first time, adds a large mid-training stage before reinforcement learning, lifting FrontierCode 2.0 from 3.2% to 24.0% and Terminal-Bench 4.0 from 0.9% to 20.0%. Cognition says it beats every American open-weight model. It generates about 200 tokens per second at one-fifth the price and 3x the speed of SWE-2, and is free for Pro, Max and Teams users in Devin Desktop and CLI until the end of November. Weights are not public; a secure sharing program for partners and researchers is planned.

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On November 3 (US Pacific time), Vercel launched Security Review in public beta. It is a new Vercel Agent capability alongside Code Review and Investigation: once enabled, every push to connected GitHub repositories triggers a diff-only vulnerability review that finishes in seconds. Findings land in the Security dashboard, PR comments and the CLI, and can be fixed with one click by Vercel Agent or pulled into your own coding agent via vercel security vulnerabilities. It is available to Pro and Enterprise teams, and reviews are free until November 10.

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On November 3, OpenAI published "Accelerating engineering for the physical world," describing how its models help with mechanical design, electrical design and simulation. Two employees used GPT-6 Astra to design a device for talking to Codex (enclosure, PCB, firmware and software) in under a week, and a contract manufacturer built a small prototype batch in under a month, though manufacturing readiness still took several rounds of human review. Token usage across OpenAI hardware teams has grown 23-fold since February. On BenchCAD 2.0, a newer internal model averaged 0.875 versus 0.594 for GPT-6 Astra at its highest reasoning setting (OpenAI-reported). OpenAI is also expanding its work with Chip Ganassi Racing and announced a new research collaboration with Mazda.

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On November 2 (US time) OpenAI announced on its website that Dan Driscoll, the 26th Secretary of the U.S. Army, is joining as Senior Counselor for National Security Modernization, a newly created role. He will work with senior leadership and external partners on how advanced AI can strengthen national and cyber security, with a focus on advancing responsible use with U.S. allies, and help internal teams understand the operational needs of security institutions. Reuters, CNBC and Bloomberg Law also reported the hire.

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On November 2 (US time) OpenAI said it is planning its next internal security sprint and partnering with security firm Cathedral, whose researchers will use OpenAI models alongside OpenAI teams to challenge its defenses. It is also changing its Security Bug Bounty program, more than quadrupling rewards for critical findings; OpenAI's X post says exceptional findings can earn up to $172,000 including bonuses. Per OpenAI, the last sprint dedicated 25% of its product engineers to finding and fixing weaknesses, using Codex to reproduce vulnerabilities and prepare patches, and it has committed $1 billion in subsidized access over six months for frontline defenders.

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On November 2 OpenAI published "Scaling Git at OpenAI", describing Pando, a Git-compatible backend it built for its monorepo. Per OpenAI, Pando cut median push latency by nearly 5x (about 80%), now delivers nearly a petabyte of Git data per day, and has served more than 57 TB in a single hour. It is written in Rust, its core was designed by one engineer and implemented by teams of Codex agents, and it went from kick-off to production in 10 weeks, serving production traffic since April. The trigger: Codex multiplied parallel branches and pushes, and the old system's reliability at times fell below 90%.

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