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A Lambda in front of Cognito's token endpoint caches tokens in DynamoDB, reducing the number of requests to Cognito and saving money. By adding AWS WAF to block direct requests to Cognito, the solution ensures that all requests go through the Lambda, further reducing costs.

A health-tech rollout shows why AI testing pilots, scaling programs, and production deployments need different metrics and readiness criteria.

A 10,337-nautical-mile detour exposed how coastline data, H3 resolution, and distance quantization can break a global sea-routing graph.

Four ways to make an agent survive a crash. Where each one keeps its state, what it forces on your code, and which one you already have installed.

TOR isn't bulletproof. From traffic correlation to opsec failures, this part breaks down why TOR fails and the real world cases that prove it.

During a 465-application transition, AI reduced reporting work, but a change in vendor communication exposed a dependency risk the dashboard missed.

pgvector, HNSW and the filtered-search trap: why your WHERE clause returns fewer rows than it should, and how hybrid search fixes what embeddings cannot.

India has issued PMLA non-compliance notices to 15 crypto platforms, highlighting the AML obligations facing offshore exchanges serving Indian users.

An autonomous AI agent audited my x402 endpoint for free. We cross-checked each other's instruments, and each of us found a defect in our own.

Discover how AvisLoader uses Tox peer-to-peer messaging for C2, ClickFix delivery, shortcut persistence, and payload distribution without fixed domains.

Learn how schemas, validation, versioning, failure states, and fallbacks can keep probabilistic AI output from breaking deterministic interfaces.

An SRE-focused look at how Alibaba Cloud SLS turns Kubernetes logs into searchable insights, dashboards, alerts, and faster incident response.

From $44 C compilers to agent keypairs: Learn how autonomous AI agents are scaling multi-day coding, overcoming the verification tax, and reshaping the SDLC.

How is AI changing filmmaking? Amy Kouxiao Zhang shares how generative AI is reshaping micro-drama production, costs, and creative workflows.

Article URL: https://www.historytoday.com/archive/out-margins/bayeux-tapestry-woven-victors Comments URL: https://news.ycombinator.com/item?id=49823113 Points: 16 # Comments: 0

This week on Uncanny Valley, we take you behind our feature on the women struggling after being targeted by the burnerverse.

Microsoft is moving its communications group out of marketing and into its Corporate, External, and Legal Affairs (CELA) organization. The surprise change will see Microsoft vice chair and president Brad Smith oversee communications, while the company searches for a replacement for Frank Shaw, chief communications officer, who is departing later this year. Microsoft CEO Satya […]

What if your wireless earbuds - or audio glasses - could stream high-quality lossless audio that doesn't cut out when you leave your phone on the bedside charger or buried in the couch? Qualcomm's new Snapdragon Sound Elite Gen 2 is its first to integrate "micro-power Wi-Fi 6E" right into the chip, so they can […]

Meta's lawyers have argued that certain evidence should be withheld from public view on the grounds of attorney-client privilege in the ongoing lawsuits over alleged harm to teens' safety and mental health. Lawyers suing the company said this week that the label has been applied far too broadly, while pointing to a recently unsealed document […]

The startup's robot can tighten or loosen four bolts at a time, and it fits in a Pelican case.

In the past month, Waymo has expanded its fleet in Texas by 49%. There are other hotspots as well.

Your SQL can be perfectly reproducible while your business meaning is not. Suppose a user asks: What was revenue in Q1? Your data agent resolves Revenue , generates valid SQL, executes it successfully, and returns a number. Now suppose Finance changed the definition of Revenue in June. The old definition was: Revenue v3 = Recognized Revenue The new definition is: Revenue v4 = Recognized Revenue - Approved Adjustments When the same user ask...

Consider a familiar modernization scenario: a script runs at 2:13 each morning, moves files between systems built in different eras, and sends an email only when something goes badly wrong. Its author has retired, and its comments describe servers that no longer exist. Yet an important workflow still depends on it. Government modernization programs often concentrate on the visible legacy application while overlooking these quiet connective mechanisms. The risk is not that scripting is inheren...

Moving client projects from the Pages Router to the Next.js App Router sounded like a routine upgrade — until it wasn't. Every migration I've done has surfaced the same handful of breakages. Here are the four that cost me real hours, and how I fix them now. 1. getServerSideProps doesn't exist anymore The first thing that breaks is data fetching. There is no getServerSideProps in the App Router — server components fetch directly: // app/dashboard/page.jsx export d...

Zero-click RCE. Four major AI coding agents. No user interaction required. Let's talk about Plugin4Shell. The Incident In September 2026, researchers disclosed a vulnerability class dubbed "Plugin4Shell" affecting Claude Code, Codex, Gemini CLI, and Copilot. The flaw lives in how these agents verify SHA-pinned plugin commits pulled from marketplaces. Here's the setup: you install a plugin, the agent pins it to a specific commit SHA, and in theory that SHA is your guarantee tha...

-- title: "Tweet Deletion Tools Compared on Privacy: On-Device or Uploaded" description: "Two deleters can produce an identical result and treat your data in opposite ways. Three architectures compared by data flow, permission scope and retention promises, plus a checklist you can put to any vendor." tags: ["privacy", "security", "twitter", "tools"] canonical_url: https://digital-footprint-health.shop/blog/tweet-deletion-tool-privacy-compared Two tools can both remove 2,000 ...

How an in-process scheduler turned one nightly job into N duplicate writes, and why I moved scheduling out of the app entirely. I was looking at staging data when I found two of something that should only ever exist once: two identical records for the same entity, same start date, created seconds apart. Not corrupted, not half-written. Just two, where there should have been one. The job that creates those records runs once a night. So why did it run twice? Because we run more than one ...

The fastest-growing codebase in the world right now is code nobody fully read. AI writes it, humans ship it, users depend on it. I think "did the AI write good code?" is about to become a real question teams ask. Code Sonar is my answer: deterministic scoring (same repo, same score, every time — no vibes in the scoring), 8 checks, results in seconds, findings written for humans. Free scans coming while I build in public. If you've shipped AI-written code, I'd genuinely like to know what sc...