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Claude Code fixed Linux. Almost.

The New Stack
Weekly Update | Issue 543

TNS essential reads

Linus Torvalds let Claude Code fix the Linux page cache. Then reviewers found a race.

Linus Torvalds used Claude Code to build a Linux page cache fix that hit 23x read throughput, but kernel reviewers found a race before anything merged.

Andrej Karpathy says only 5,000 people have seen what AI can really do

Andrej Karpathy says the AI capability gap is widening. Box CEO Aaron Levie says agent swarms are next, but most enterprises aren’t ready to use them yet.

Gemini 4 Argon vs. Claude Opus 5.5: Half the price and about half as accurate

Google says Gemini 4 Argon beats Claude Opus 5.5 on 14 of 18 benchmarks, at half the price for now. Three hard tests told a different story.

Employees are vibe-coding their own apps. Cloudflare open-sources Void to give IT a handle on them
Four months after acquiring VoidZero, Cloudflare has turned a planned commercial product into an open-source platform that companies can self-host.

Kubernetes on cgroup v1 is dead. Here’s what comes next.
Edge AI is reshaping Kubernetes: node swap lifts density up to 3x, cgroup v2 takes over, and Edge Day and CiliumCon return ahead of KubeCon NA. (143 characters)

Your Kubernetes dashboard is green. Your users are seeing red.
Every pod is green, yet users still wait. HPE OpsRamp’s Mahesh Ramachandran explains how telemetry history exposes the slowdowns dashboards miss.

Your database decision could come back to haunt you
AI prototypes built on the wrong database often stall before production. pgEdge’s CEO argues enterprises can skip the costly re-platform entirely.

New eBook: The next era of MFT starts here

Your file transfers may be automated, but the work around them, like diagnosing failures, reading logs, and updating workflows, is still largely manual. We’re developing a new eBook, The Next Era of MFT: How AI Transforms Managed File Transfer, written by Carly Page and sponsored by Fortra. You’ll discover:

  • Why AI is becoming a necessity for MFT, not a nice-to-have

  • The real cost of managing MFT complexity by hand

  • How AI speeds up failure diagnosis, workflow creation, and log analysis

  • How to keep expertise from living only in your senior admins’ heads

The CNCF is graduating projects faster than ever. AI agents are helping with the due diligence.

Back in 2018, years before ChatGPT, OpenAI was already running on Kubernetes to spread compute across its own data centers and the cloud. In this episode, CNCF Executive Director Jonathan Bryce tells The New Stack how AI and open source now feed each other, why the CNCF has moved projects through graduation faster than ever in the past 18 months, with agents helping with due diligence, and what’s on the table at KubeCon in Salt Lake City this November.

Featured webinars

Oct 27
Virtual
Provisioned access vs. emergent access: tracing AI agents back to the humans behind them
An agent spins up a service account, or inherits a permission nobody remembers granting. Weeks later, it touches something it shouldn't, and the audit log has a gap where the answer should be. Join us live to watch that gap close in real time, tracing an agent's actions back to an accountable identity on CloudBolt's platform.
Nov 4
Virtual
From writing tests to verifying outcomes: who tests the code your AI agents write?
AI assistants help teams ship code faster than ever, but writing tests still moves at human speed, and every redesign breaks the suite. Join us live as we talk about what changes when an agent writes the tests: exploring your app, generating tests from a plain-language prompt, and checking outcomes instead of fixed steps, so tests keep passing when workflows change.
On-Demand
Virtual
From invoked to proactive: what changes when your incident response agent goes fully autonomous
Most teams talk about agent autonomy as if it's all-or-nothing. It isn't. Catch the replay as Traversal co-founder Raaz Dwivedi traces the real progression from invoked to proactive, and what it takes to trust an agent enough to let it act on its own.
On-Demand
Virtual
Postgres at scale: what breaks (and what doesn't) when live data grows
Postgres runs everything until it doesn't. Time-series and high-ingest workloads eventually hit the same wall. In this insightful session, Tiger Data's Matty Stratton shows exactly where vanilla Postgres starts to strain and, via a live demo, what breaks versus what holds up.

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