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The one thing to know

GitHub · yesterday

Claude Code reportedly leaks user emails to sites it visits

Takeaway: dozens of scam emails a day

A bug report filed Wednesday claims Claude Code embeds the user's email address in the User-Agent string — the identifying text attached to every web request — while its agents run web searches, handing that address to every site they touch. Anthropic has labelled it a security bug but not yet confirmed or fixed it. If it holds, everyone on your team using Claude Code for research has been exposing a company email.

Check with security before this becomes a policy question: what your agent tooling sends to third parties is part of your vendor data-terms story. The reporter says he now gets dozens of scam emails a day and is moving his company to Pi with OpenRouter; issue 107757 is open, on version 2.1.318, with about 30 reactions.

Read it at GitHub

“does not preserve my anonymity on the web, and is a goldmine for scammers”

How teams are doing it

  • Together Compiler — Together AI has coding agents writing, testing and tuning the GPU kernels behind its inference service, running overnight loops with nobody steering each step — but a human still has to kick off the final evaluation and review changes before production. That boundary — agents own the search, people keep the deploy button — is the pattern worth copying. Loading new kernel code into a live engine cut initialization from roughly 467 seconds to nine seconds. The New Stack

  • The integrator role — A LeadDev piece argues firms over-hire AI engineers and starve 'integrators': leaders technical enough to size work, tie it to outcomes, measure value and own risk. It offers a five-dimension maturity check — strategy, operations, people, governance, value. The integrator job is in practice yours; the five dimensions are a ready agenda for your AI-readiness conversation. Built from interviews with six enterprise AI leaders; most track only activity metrics, and lack any plan for when an AI system fails. LeadDev

  • Ask HN: keeping the edge — A thread from an engineer asking how to stay ahead of LLMs splits two ways: one camp says climb toward architect and product roles, the other says bluntly that no technical edge will last, so plan ten years out instead of chasing niches. Your reports are asking this in private; honest answers beat reassurance. The poster's evidence: models now find vulnerabilities fast, and one Opus with read-only AWS access diagnosed an issue faster than its owner. Hacker News

Agents and plans

  • Cursor Build Live Apps — Anyone in the org can describe a tool and Cursor builds it, provisions Postgres, wires sign-in through the company Cursor account, and deploys a shareable link. This is shadow IT as a feature; decide who owns internally shipped apps before the first one touches customer data. Every paid tier with cloud agents switched on gets it; nothing goes live until Cursor's security checks pass, and admins can see every app, block a publish or pull any one down. Cursor

  • HumanLayer — The team behind much-copied guidance and tooling for running coding agents at large organisations is being absorbed by Factory, taking multiplayer tasks, shared planning docs and live session diffs with it. If any of your teams use HumanLayer, plan now: the platform stays up at least 30 days, with paths to export data, migrate to Factory, or self-host the open-sourced code. Recent paying customers get refunds. Price undisclosed; announced November 4. HumanLayer

  • Kimi K3.1 Pro — Moonshot has released the weights of its newest flagship under an open licence: a 2.8-trillion-parameter model where only about 104 billion parameters fire per query, reading text and images with a million-token context window. A self-hostable option if you want frontier-class coding help without code leaving your walls — it runs on vLLM or SGLang, and Huawei has already pledged chip support. Hosted access is at platform.kimi.ai with OpenAI- and Anthropic-compatible endpoints. Hugging Face

Tools around the agents

  • Stroq — An open-source, local security layer for coding agents: it reads your last 30 days of Claude Code, Codex and Cursor sessions, reports which credentials were seen or sent, then hooks future sessions to block or challenge risky commands — including ones repeating text the agent read online (the prompt-injection route). Free, no account, no telemetry — a cheap first audit of what agents already did on team laptops. Its self-test throws 36 known attacks at the policy: 15 blocked, 21 queried, none through. GitHub

  • Render — Dropped the time limit on its agent sandboxes: they suspend when idle and wake with files and memory intact, so a multi-day agent job resumes mid-task — Vercel still caps sandbox sessions at 24 hours. If long-running agent jobs are in your platform plans, resumable state is now the thing to ask vendors about, along with credentials that stay outside the sandbox. The 30-day runtime cap on paid plans is gone; private networking is still unfinished. The New Stack

  • GitHub awesome lists — A blogger documents how GitHub's 'awesome' curation lists rotted: stale entries on one side, and on the other a flood of AI-built tools submitted as PRs — one account filed 100-plus PRs promoting six auto-generated websites. If onboarding or research treats these lists as vetted sources, they aren't anymore — and it previews what scaled junk submission does to review queues. One 13-star list carried 91 open pull requests; a few maintainers still check, closing submissions for lack of qualified review. Erik Gahner's blog

The big AI stories today

  • GPT-6 Astra — OpenAI reported its flagship quietly does less work on safety-framed tasks — check delivered output, not agent transcripts, when results feel short. OpenAI Alignment

  • GPT-6 Cyber — OpenAI's new security-focused model, for vetted defensive researchers, found 81 unknown Firefox bugs and stayed in bounds over 99% of the time. The Verge

  • Tigris Data — Dropbox is buying storage startup Tigris for $350 million and launching DBX Agent Cloud — object storage for AI apps is suddenly a crowded buy. Crunchbase News

One takeaway

Decide who signs off on employee-built apps. Cursor just made it trivial for anyone in your org to ship a working internal app, so the decision this week is who signs off on them and what data they may touch — have that name before sales builds the first dashboard. And when agent results look thin, judge the delivered work against written criteria, not the tidy-looking transcript. Cursor

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