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AI 资讯

Preventing Duplicate Password-Reset Notifications (Under SMS Timeout and Retry Pressure)

Treat an SMS timeout as an unknown outcome, not a failed send: accept each password-reset event once, persist its expiry and idempotency key before dispatch, and retry only through a worker that can reconcile the original attempt. For a short-lived e-commerce reset token, compliance evidence is the deciding constraint. The system must be able to show what it accepted, what it attempted, when it stopped, and why, without storing the token or message body in an audit log. This changes the shape of the endpoint. A Node.js Express handler may receive the event, but it shouldn't hold the HTTP request open while an SMS provider decides the final delivery state. Return an accepted response after durable admission, then expose status from local state. The Go example below shows the same transport-independent contract because the hard part isn't an Express API call; it's controlling ownership of retries. One event, one logical notification. How should event notifications handle SMS timeout, retry, and duplicate sends? Use two identifiers with different jobs. event_id identifies the business action, such as one password-reset request. idempotency_key identifies the logical notification command. A unique constraint on the key makes two concurrent HTTP requests converge on one stored record; checking memory before an insert is not enough because two processes can pass that check together. A timeout leaves three possible realities: the provider never accepted the request, it accepted the request but the response was lost, or it accepted and sent the message before the caller stopped waiting. Retrying immediately as though the first case were certain is how customers receive two reset messages. Declaring success is no better. The durable record should therefore enter dispatch_unknown , keep the provider's attempt identifier when one exists, and move through reconciliation before another send can be authorized. Status polling serves a different purpose from retry. Polling reads th

2026-08-18 原文 →
AI 资讯

Uber partners with Zipline on Eats drone deliveries

Uber is teaming up with drone company Zipline to start airborne takeout deliveries later this year, with the goal of reaching one million daily drone deliveries by 2029. Uber also said it was making a strategic investment in Zipline, a California-based company that has been orchestrating drone deliveries in Texas since 2025. The news comes […]

2026-08-17 原文 →
AI 资讯

When a Vendor You Use Gets Breached: What to Do Next

When a vendor is breached, don't wait for their update page: figure out fast what that vendor can see or touch inside your business, and act on that answer before you have all the facts. Vendor breaches are a recurring headline: a phone system, messaging platform, or file-sharing tool used by thousands of businesses discloses an incident, and every customer of that vendor suddenly has to ask what it means for them, usually with almost no visibility into the vendor's internal investigation. The gap between "something happened to our vendor" and "here's what we do about it" is where most companies lose time they can't get back. Quick answers What's the first thing to do when a vendor is breached? Confirm exactly what that vendor can access in your systems — before you do anything else. Should I rotate credentials before the vendor confirms exposure? Yes, for anything plausibly exposed — even though it may briefly disrupt a live integration. How often should I re-check a slow-to-disclose vendor? It depends on how much access they hold — high-privilege vendors need a 48–72 hour check-in, not a week. Do I need a written plan before an incident happens? Yes — a one-page plan per privileged vendor, reviewed at least yearly. Why vetting a vendor once isn't enough Most businesses do vendor due diligence at signup: a security questionnaire, maybe a look at their trust page, a checkbox before the contract is signed. That's reasonable, but it only answers the question that matters on day one: is this vendor safe to start using? It doesn't answer the question that matters every day after: if this vendor gets breached, what happens to us, and what do we do? Vetting is a point-in-time filter. A breach is an ongoing event with a timeline, and your response needs its own plan, separate from the vetting checklist you ran before signing. The fix is simple: treat vendor risk as a lifecycle, not a gate. Vet before you sign, revisit access and exposure on a regular cadence, and have a re

2026-08-17 原文 →
AI 资讯

0 of 3 Articles Published for 3 Days Straight: The 41-Second Timeout Margin That Killed My Automation

For three mornings in a row, my audit log printed the same line: published today: 0 / target: 3 . Nothing crashed. The scripts ran, exited, and produced nothing. The entire cause turned out to be a 41-second margin — a 300-second timeout against a process that actually takes 259 seconds. Changing one number to 600 turned 0/3 into 3/3 the next morning. Some background: I went from earning 100k yen a month as a university student to 600k a month juggling multiple gigs, then lost all of it overnight to a company-initiated layoff. Over the following six months I built an autonomous Claude Code environment, and I'm now above 1.2M yen in monthly revenue. At the core of it is a system that publishes three affiliate articles every morning without a human touching anything. Why this system works The difference between people who keep earning from affiliate marketing and people who drop out is not writing skill, and not a nose for picking products. It's whether you can keep going . Articles that tend to earn on Rakuten Affiliate share a common pattern: spec-comparison articles about home appliances and gadgets priced above 50,000 yen, with lots of reviews and in stock. Robot vacuums, portable power stations, heat-pump washer-dryers, fully automatic coffee makers. The search intent is "I want to compare before I buy," so product link click-through is high and it fits the structure of affiliate marketing well. The problem is cost. Researching the specs of a high-ticket appliance on the web, building a comparison table, and finishing an article good enough to include the "honestly weak points" section takes 30 to 40 minutes. Three articles is close to two hours. Almost nobody has the willpower to repeat that 365 days a year. I don't either. What you need here isn't "trying harder" — it's an environment that keeps running even when you don't try hard . Once the system is built, the running cost is just API calls. The affiliate-factory I built is a simple structure made of four sh

2026-08-15 原文 →
AI 资讯

Friday Squid Blogging: Searching for the Colossal Squid

Fascinating video about searching for life undersea. The video basically makes the point that our bright white searchlights are scaring everything away, and that red light is more neutral. That, plus bait to attract sea creatures, is teaching us a lot about what’s going on down there. Lots of footage of giant squid, and speculation about the colossal squid. Worth watching. As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered. Blog moderation policy.

2026-08-15 原文 →
开发者

A RAMageddon guide to back-to-school laptop shopping

If you’re a student looking for an affordable laptop, I have bad news and I have good news. The bad news is that computer prices are out of whack due to the ongoing RAM and storage crunch, making some a little pricier than they used to be and others wildly more expensive. The good news? […]

2026-08-15 原文 →
AI 资讯

More Incidents Don't Necessarily Mean Less Reliability

One of the most common assumptions in engineering leadership is that a rising number of reported incidents signals declining system reliability. However, a recent article from Great Circle argues that the opposite is often true: an increase in incident counts may actually indicate that an organization's incident management culture is improving. By Craig Risi

2026-08-14 原文 →
AI 资讯

I finally found a robot lawnmower I’d trust with my yard

Robot lawnmowers are finally good enough to take a lot of work out of maintaining a yard, but they’re still not set-it-and-forget-it machines. If you don’t want these autonomous cutting machines to tear up your lawn or go roaming in your neighbors’ yard, you’re still going to need to keep an eye on them. But […]

2026-08-14 原文 →