Auto-aggregated global tech articles · 1,186 posts
AI & ML
AI Deskilling: Why Fluency Isn't Dependency A 368-point Hacker News thread this week landed with a title that could have been a company-wide Slack message: "AI handles incidents, engineers lose touch with their systems." Meanwhile, Lenny Rachitsky's annual workforce survey — one of the largest of
Security
Race Conditions in APIs: TOCTOU in Payments, Coupons, and Rate Limiting Every standard scanner sends request A, waits for the response, and only then sends request B. Every race condition in production lives in the window between a server-side check and the update that follows it. These two facts
Frontend
Stripe ships API changes roughly every 6-8 weeks. Most are additive, new fields, new capabilities. But the breaking ones are brutal, because they affect your billing code which is the highest-stakes code in any startup. I've been tracking Stripe's changelog for the past year while building Synchron
Industry
Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help devs discover the project, give it a try, and share your feedback to help improve the product. There is an algorithm that got invented in 1953 on a machi
AI & ML
An attacker does not need a clever jailbreak when they can make the model stop reading the system prompt through sheer volume. The vulnerability is architectural: every transformer has non-uniform attention. The position where security instructions live is precisely where models attend least. Conte
AI & ML
Your agent's 10,000-token system prompt, containing business logic, tool credentials, and RAG instructions, sits in a shared cache. A co-tenant on the same API endpoint can probe it token by token using nothing but response latency. Prompt caching reduces agentic API costs by 41-80%. That same feat
AI & ML
An agent summarizes a document. The summary looks correct. DLP approves it. No alert fires. But 64 bytes of the user's session token are now encoded in the pattern of synonym choices the model made. Invisible to every tool in the pipeline, readable by any system that knows the key. DLP tools scan f
AI & ML
Your agent scanned the invoice, parsed the contract, and summarized the webpage. None of those documents triggered a single text-based injection detector. What the detectors never saw was the instruction printed in white on a white background, tucked inside pixel channels no human would notice. Tex
AI & ML
An agent checks a file's hash before processing it. Three tool calls and one sub-agent handoff later, it processes a different file and never knows. AI agents validate preconditions at tool-call time. In multi-step tasks, the gap between validation and execution spans network calls, sub-agent hando
AI & ML
A researcher commits a legitimate MCP server definition to a shared repository. Teammates approve the tool manifest. Two weeks later, the tool schema silently changes on the remote server. Nobody checks again. The tool now accepts a destination parameter that routes file reads to an external URL. Th
Mobile
I was building KODA Browser. Android project. WebView. Custom home screen. Search. GitHub shortcuts. It was starting to become a real browser. And then I paused it. Not because it failed. I paused it because I realized something: I've built a lot of things. But I haven't really tested whether
Security
The Problem & Industry Shift The OpenBSD project is renowned for its security focus, but its hardware support philosophy is equally distinctive: it actively supports a vast array of obscure and obsolete devices, some of which feel like relics from a medieval technological era. While mainstream