Amazon’s Wake-Up Call Is Everyone’s Wake-Up Call I’ve been watching AI-assisted engineering mistakes compound in slow motion for about two years now. Smaller companies, smaller blast radii, easier to sweep under the rug. But when Amazon, one of the most sophisticated engineering organizations on the planet, has to call a mandatory company-wide meeting about AI…
The Blast Radius Problem Nobody Wants to Talk About Amazon is holding mandatory meetings. The internal briefing describes a trend of production incidents caused by “Gen-AI assisted changes” with what it calls “high blast radius.” And buried in that same briefing is a phrase that should make every engineering leader sit up straight: “best practices…
The Blast Radius Problem Nobody Wants to Talk About Amazon is holding mandatory internal meetings about AI-generated code causing production incidents. The briefing note, surfaced publicly this week, describes a pattern of incidents with “high blast radius” caused by “Gen-AI assisted changes” and includes this sentence: “best practices and safeguards are not yet established.” That…
Model Routing Is an Engineering Decision, Not an Afterthought Most engineers pick a model the way they pick a code editor. Once. Then they stop thinking about it. Maybe they upgrade when a new version drops, but the mental model stays the same: one tool, all tasks, forever. I’ve been doing this differently for about…
The Part of ML Research Nobody Talks About Most of the commentary around Andrej Karpathy’s new autoresearch repo is missing the point entirely. The repo, roughly 630 lines of code on a single GPU, runs LLM training in an autonomous loop. The agent picks architectures, tunes hyperparameters, commits code, and iterates again without a human…
The Hardest AI Problem Isn’t the Model. It’s Knowing When to Stop. Most teams building agentic AI systems are focused on the wrong problem. They spend weeks on prompt engineering. They benchmark models. They agonize over latency. And then they ship an agent that loops forever, or halts too early, or confidently hands back a…
Claude Code Just Changed What an AI Coding Tool Actually Is Anthropic shipped a feature called /loop for Claude Code this week, and most of the coverage I’ve seen treats it like a quality-of-life improvement. It isn’t. It’s a category shift dressed up as a feature release. Here’s what it does: you schedule a recurring…
Designing Codebases for AI Memory Loss Every AI coding session starts with amnesia. The model doesn’t know your team’s conventions. It doesn’t know why you wrapped that third-party client in an abstraction layer, or why the auth module is structured the way it is, or what you decided six months ago after three hours of…
Plausible Is Not Correct, and That Gap Is Where Production Dies There is a framing going around right now that I think every engineer working with AI-generated code needs to internalize before they ship another feature. It comes from a post by @KatanaLarp, and the core argument is this: LLMs do not write correct code….
OpenAI Just Launched a Security Agent. Here’s Why the Validation Step Is the Whole Point. Security reviews are where engineering velocity goes to die. They’re slow, they happen too late, and the person responsible for them is also the person trying to close four other tickets before end of week. Most teams treat security as…
