Torvalds' kernel fix, Willison on verifying AI code, Swyx on shrinking harnesses

Sources

Quoting Linus Torvalds simonwillison.net

And this was a debug session from hell, enormously helped by an AI doing much of the grunt-work. I’d like to call it my tireless helper, but the AI several times stated flat out that this was impossible and unsolvable and that we should just write a report about it. I suspect those things have been trained by people who may not be quite as stubborn as I am. But while the AI was ready to give up several times, it did keep adding debug code and analyzing it faithfully when I pushed. So credit whe…

More than just code review simonwillison.net

The key skill required to make productive use of coding agents is being able to confidently instruct them on how to make changes and then confidently verify that those changes have been applied in the correct way. Sometimes this involves reviewing every line of code they have written, but there are other ways to achieve that goal. Eyeballing every line of code has never been the most effective way to validate a chance to a piece of software. Tags: code-review , coding-agents , generative-ai , a…

The Evolution of the Agent Harness latent.space

Models keep absorbing the harness into their weights — soon, it will be a harness for human attention rather than for the model.

llm 0.33 simonwillison.net

Simon Willison’s llm CLI ships 0.33 with repeatable -t/—template flags that stack a model-config template onto a prompt template. The release also routes per-call keys through embed() methods, upgrades to OpenAI Python 3.x, and exposes a reasoning_summary option on Responses API models.

(AINews) 10% worse, 100x cheaper, 10000x faster: Why Simulation is taking over latent.space

Simulation environments that run 100x cheaper and 10,000x faster than real training, at roughly 10% quality loss, are reshaping how frontier labs iterate. The AINews issue frames this as recursive self-improvement extending past model training into the surrounding data and eval loop.

Unlocking hidden revenue streams with market models technologyreview.com

Carriers moving tens of thousands of passengers daily face pricing decisions across demand, season, competitor moves, and connection paths. MIT Tech Review’s sponsored piece pitches AI market models as the way to surface hidden revenue by weighing hundreds of variables per journey in near real time.

References

It’s FOSS News itsfoss.com

The fix was a one-line change from round_up() to round_down() in get_flat_ccs_offset(), but isolating it required 24 debug patches across 18 kernel boots on Battlemage G21 hardware — a regression that had lived in the tree for two years since commit 37173392741c.

It’s FOSS (staging AI ban) itsfoss.com

Greg Kroah-Hartman banned AI-generated patches from drivers/staging, arguing the subsystem is meant as a training ground for new human developers and that AI cleanups defeat its educational purpose.

AI Weekly (kernel spam) aiweekly.co

Torvalds has moved to block a flood of low-quality, AI-generated bug reports that maintainers describe as making security mailing lists ‘unmanageable’ — daily volumes have jumped from a few per week to dozens per day, often citing hallucinated APIs.

EmergentMind — ImpossibleBench emergentmind.com

ImpossibleBench mutates unit tests into unsolvable variants to measure whether models honestly identify impossibility or take specification-violating shortcuts; audits also identify a ‘pessimism bias’ where risk-averse fine-tuning leads models to declare solvable tasks impossible.

AI Thinker Lab aithinkerlab.com

STAR Labs researcher Lee Jia Jie used AI to identify a use-after-free race in the netem traffic-control subsystem (CVE-2026-53264), shrinking the exploitable race window from 15 minutes to 5 seconds — a parallel data point that AI is now genuinely useful for deep kernel work.

ADTmag adtmag.com

Torvalds told critics that ‘Linux is not one of those anti-AI projects’ and that unhappy contributors can ‘fork it or walk away,’ while the kernel’s Assisted-by tag policy still requires a human Signed-off-by taking full DCO responsibility.

Simon Willison — ‘Vibe engineering’ (Oct 2025) simonwillison.net

Vibe engineers stay ‘proudly and confidently accountable’ for their output by integrating automated testing, rigorous code reviews, and high-level architectural planning.

Addy Osmani — ‘Comprehension Debt’ addyosmani.com

Developers ‘defensively merge’ code — accepting pull requests they cannot fully explain simply because the tests are green… when a production incident occurs, no human in the room can navigate the codebase without external AI assistance.

Moderne.ai — ‘AI didn’t break coding, it broke code review’ moderne.ai

A study of 10,000 developers by Faros AI revealed that a 21% individual productivity lift resulted in 0% increase in code actually shipped, as gains were swallowed by the review queue.

DigitalApplied — ‘AI Code Review Automation Guide 2025’ digitalapplied.com

AI-authored PRs contain 1.7 times more issues and 1.4 times more critical defects than human-written code… enterprise studies found AI-generated code has a 2.7x higher vulnerability density.

Endor Labs — ‘Agent Security League’ endorlabs.com

Practitioners highlight ‘slopsquatting’ — where agents hallucinate non-existent package names that attackers then register to facilitate supply-chain attacks — and prompt injection hidden in project READMEs or third-party ‘skill’ files.

AgentConn — ‘Verify, Don’t Review’ agentconn.com

96% of developers do not fully trust AI accuracy, yet only 48% actually verify it.

Neura Market — ‘Agent harness absorbed by models’ neura.market

with each model upgrade, teams often remove scaffolding code rather than add it, as the model internalizes previously manual logic

Addy Osmani — ‘Agent Harness Engineering’ addyosmani.com

a 36-point swing in success scores for the same Claude-class model simply by moving it from a generic research scaffold to the specialized Claude Code harness

Shane Deconinck — ‘The AI Agent Scaffolding Trap’ shanedeconinck.be

complex, hard-coded wrappers become technical debt as models evolve

Latent Space — ‘Extreme Harness Engineering for Token Billionaires’ (OAI v LangGraph) latent.space

over 1 million lines of code with zero human-written code or review by shifting the source of truth to deterministic validation loops rather than human oversight

InfoQ — AGENTS.md coverage infoq.com

adopted by over 60,000 repositories… files exceeding 32 KiB are often silently truncated, and even within that limit, verbose instructions can dilute a model’s focus

r/ClaudeCode thread on ‘lazy senior dev mode’ reddit.com

reduced a 293-line countdown dashboard to just 47 lines by forcing the AI to use native platform features instead of writing custom logic