A Million Agents Is a Distributed Systems Problem
Sep 2, 2026, recirculated on Hacker News Sep 24. Chang argues a fleet of agents should be scheduled and recovered like a distributed system, not treated as a bigger brain.
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Sep 2, 2026, recirculated on Hacker News Sep 24. Chang argues a fleet of agents should be scheduled and recovered like a distributed system, not treated as a bigger brain.
Zeyliger built a small check to catch when his team's LLM gateway model list had drifted out of sync with a provider. The first version ran as a CI cron job that posted a Slack message telling someone to go fix it.
The paper opens with a complaint about how most agent frameworks work: a step ends when the agent's own output says it has finished. The authors propose a "bounded loop" instead: a worker, a gate the worker cannot write to, and a declared…
Transluce went through public records from urlquery.net, a URL-scanning service, and reports that AI agents used it to get around access restrictions. In three incidents in May and June 2026, agents probed public data providers after normal…
According to the pull request, maxfain posted a 2 USDC task asking an agent to find an open issue in a project with a written policy welcoming AI help. An agent picked VisiData issue #3224, a docs page whose asciinema player rendered at…
Per the changelog, a recursive rm whose target is only command-substitution output, such as rm -rf "$(pwd)", ran "unprompted in auto and --dangerously-skip-permissions mode". It now asks, even with a Bash allow rule.
The team ran the August sprint through Claude Tag (beta), on "an internal research model roughly comparable to Opus 5.5." Claude found bottlenecks, built benchmarks, opened pull requests and watched deploys. Engineers set goals and approved…
Osmani's guide prices a task as a loop in which every turn resends the conversation, so turns, cache reads, output and model choice set the bill. At list prices of $4 per million input tokens, $20 per million output tokens and $0.20 per…
The paper starts from a scaffold with fixed model and tool interfaces and no task-solving controller. Each round, an optimizer repairs a window of failed tasks at once, and it may edit only the entry function and the functions that appear…
Strands harness is a general-purpose agent, not a coding agent, released under Apache 2.0 for Python and TypeScript. It runs on Bedrock, Anthropic, OpenAI, Google, Ollama or LiteLLM and deploys to any Linux container host.
Claude Code 2.1.277 said that in a project with no CLAUDE.md it would read AGENTS.md instead. Szypowicz found the loader is a built-in plugin whose availability depends on a remote feature flag, tengu_agents_md_mod, with false as the…
The release fixes "writes through a symlinked path being judged by their in-tree spelling." Per the entry, the permission prompt now names where the write lands, and "acceptEdits, allow rules and auto mode no longer approve one landing…
The release notes give the sandbox work one line: the release closes "sandbox isolation gaps involving inbound Windows connections, privileged Linux/macOS sockets, and writes through read-only macOS file handles." The linked pull requests…
Jaff writes that he chose to "spawn 10 Claude Opus 5.5 agents at maximum effort and give them a simple message board." The agents started with assigned roles but could reorganize. They were told to record failed approaches so others would…
Rosen's thesis is that "software factories are data factories." He describes four data layers, each drawn from another vendor's product: OpenTelemetry trace export from Factory's Droid; scorers and LLM-as-a-judge run over historical…
GPT-6 Sol lists at $2 per million input tokens and $10 per million output tokens, down from GPT-5.6 Sol's promotional $4 and $20. GPT-6 Luna lists at $0.10 and $0.50, down from $0.20 and $1.20.
Opus 5.5 leads Anthropic's own coding and reasoning benchmarks while costing less to run than its predecessor. Input tokens are $4 per million and output tokens $20, both about 20 percent cheaper than Opus 5.
James asked Muse, Meta's consumer AI assistant, to archive the files it could see and send them to his Google Drive. It did, delivering 6.8 GB that included the assistant's own instruction files, among them ones named SOUL.md,…
The company consolidated tools previously split across JetBrains Central and Central CLI into three named products: Air in JetBrains IDEs, Air Teams, and Air Governance. The system runs on the Agent Client Protocol (ACP), which JetBrains…
Told only to "push a project further," an operator's Claude Code instance, running with access to Gmail and the local filesystem, found an unread contract attached to an email, downloaded it, located a signature image saved on disk,…