"Amazon suggested its engineers eschew AI code generation tools from third-party companies in favor of its own ," reports Reuters, "a move to bolster its proprietary Kiro service, which it released in July, according to an internal memo viewed by Reuters." In the memo, posted to Amazon's internal news site, the company said, "While we continue to support existing tools in use today, we do not plan to support additional third party, AI development tools.

"As part of our builder community, you all play a critical role shaping these products and we use your feedback to aggressively improve them," according to the memo.

The guidance would seem to preclude Amazon employees from using other popular software coding tools like OpenAI's Codex, Anthropic's Claude Code, and those from startup Cursor. That is despite Amazon having invested about $8 billion into Anthropic and reaching a seven-year $38 billion deal with OpenAI to sell it cloud-computing services..."To make these experiences truly exceptional, we need your help," according to the memo, which was signed by Peter DeSantis, senior vice president of AWS utility computing, and Dave Treadwell, senior vice president of eCommerce Foundation. "We're making Kiro our recommended AI-native development tool for Amazon...."

In October, Amazon revised its internal guidance for OpenAI's Codex to "Do Not Use" following a roughly six month assessment, according to a memo reviewed by Reuters. And Claude Code was briefly designated as "Do Not Use," before that was reversed following a reporter inquiry at the time.
The article adds that Amazon "has been fighting a reputation that it is trailing competitors in development of AI tools as rivals like OpenAI and Google speed ahead..."

"OpenAI is now internally testing 'ads' inside ChatGPT," reports BleepingComputer: Up until now, the ChatGPT experience has been completely free. While there are premium plans and models, you don't see GPT sell you products or show ads. On the other hand, Google Search has ads that influence your buying behaviour. OpenAI is planning to replicate a similar experience.

As spotted [by software engineer Tibor Blaho] on X.com,ChatGPT Android app 1.2025.329 beta includes new references to an "ads feature" with "bazaar content", "search ad" and "search ads carousel."

This move could disrupt the web economy, as what most people don't understand is that GPT likely knows more about users than Google. For example, OpenAI could create personalised ads on ChatGPT that promote products that you really want to buy... The leak suggests that ads will initially be limited to the search experience only, but this may change in the future.

An anonymous reader shared this report from CBS News: Artificial intelligence can do the work currently performed by nearly 12% of America's workforce, according to a recentstudy from the Massachusetts Institute of Technology. The researchers, relying on a metric called the "Iceberg Index" that measures a job's potential to be automated, conclude that AI already has the cognitive and technical capacity to handle a range of tasks in technology, finance, health care and professional services. The index simulated how more than 150 million U.S. workers across nearly 1,000 occupations interact and overlap with AI's abilities...

AI is also already doingsome of the entry-level jobsthat have historically been reserved for recent college graduates or relatively inexperienced workers, the report notes. "AI systems now generate more than a billion lines of code each day, prompting companies to restructure hiring pipelines and reduce demand for entry-level programmers," the researchers wrote. "These observable changes in technology occupations signal a broader reorganization of work that extends beyond software development."
"The study doesn't seek to shed light on how many workers AI may already have displaced or could supplant in the future," the article points out.

"To what extent such tools take over job functions performed by people depends on a number of factors, including individual businesses' strategy, societal acceptance and possible policy interventions, the researchers note."

Earlier this month MasterCard noted that even Walmart now allows its customers to make purchases through ChatGPT. And after polling more than 4,000 consumers in the U.S., Canada, U.K., and UAE, they found "more than four in 10 consumers already use AI tools to help them shop, including 61% of Gen Z and 57% of millennials." Many (50% of Gen Z and 49% of millennials) say they'd even let AI handle all their gift-buying if it meant avoiding stress. Younger shoppers trust AI's taste, with 51% of Gen Z and 55% of millennials relying on it to deliver unique and thoughtful recommendations (sometimes even more than they trust themselves). The most popular uses include getting personalized product recommendations, confirming the best deal before purchasing, and summarizing thousands of reviews instantly. The bottom line: Shoppers are embracing AI as their new personal assistant — one that knows their budget, style, and patience level...

If the 2025 holiday shopper could be summed up in one word, it's intentional. They're planning earlier, spending wiser and using technology to make every dollar and every gift count.
The first figures are now in for the traditional "Black Friday" shopping day after Thanksgiving, and U.S. shoppers "spent a record $11.8 billion online," reports Reuters, "up 9.1% from 2024 on the year's biggest shopping day, according to Adobe Analytics, which tracks 1 trillion visits that shoppers make to online retail websites..."

And sure enough, this year shoppers were helped by AI: AI-powered shopping tools helped drive a surge in U.S. online spending on Black Friday, as shoppers bypassed crowded stores and turned to chatbots to compare prices and secure discounts amid concerns about tariff-driven price hikes... The AI-driven traffic to U.S. retail sites soared 805% compared to last year, Adobe said, when artificial intelligence tools such as Walmart's Sparky or Amazon's Rufus had not yet been launched. "Consumers are using new tools to get to what they need faster," said Suzy Davidkhanian, an analyst at eMarketer. "Gift giving can be stressful, and LLMs (large language models) make the discovery process feel quicker and more guided..." Globally, AI and agents influenced $14.2 billion in online sales on Black Friday, of which $3 billion came from the U.S. alone, according to software firm Salesforce.
There's another reason shoppers turned to AI. 2025's Black Friday arrived "amid tighter budgets, unemployment nearing a four-year high, U.S. consumer confidence sagging to a seven-month low and price tags that have shoppers watching every dollar," according to the article: Discount rates also remained flat when compared to 2024, with AI helping shoppers discover the best deals, and an increase in the price tags made deeper discounts difficult for retailers... Order volumes fell 1% as average selling prices rose 7%. Consumers also purchased fewer items at checkout, with units per transaction falling 2% on a year-over-year basis, Salesforce said.

The spending surge sets the stage for an even bigger Cyber Monday, projected to drive $14.2 billion in sales, up 6.3% on a year-over-year basis and the largest online shopping day of the year, Adobe said. Electronics are expected to see the deepest discounts on Cyber Monday, reaching 30% off list prices, along with strong deals on apparel and computers, Adobe said.

The Free Software Foundation describes how "After months of preparation and excitement, we finally came together on November 21 for a global online hackathon to support free software projects and "put a spotlight on the difficult and often thankless work that free software hackers carry out..."

Based on how many of you dropped in over the weekend and were incredibly engaged in the important work that is improving free software, either as a spectator or as a participant, this goal was accomplished. And it's all thanks to you!

Friday started a little rocky with a datacenter outage affecting most FSF services. Participants spread out to work on six different free software projects over forty-eight hours as our tech team worked to restore all FSF sites with the help and support of the community. Over three hundred folks were tuned in at a time, some to participate in the hackathon and others to follow the progress being made. As a community, we got a lot done over the weekend...

It was amazing to see so many of you take a little (or a lot of!) time out of your busy schedules to improve free software, and we're incredibly grateful for each and every one of you. It really energizes us and shows us how much we can accomplish when we work together over even just a couple days. Not only was this a fantastic sight to see because of the work we got done, but it was also a very fitting way to conclude our fortieth anniversary celebration events. Free software has been and always will be a community effort, one that continues to get better and better because of the dedicated developers, contributors, and users who ensure its existence. Thank you for celebrating forty years of the FSF and fighting for a freer future for us all.

Europe's Airbus said on Friday it was ordering immediate repairs to 6,000 of its widely used A320 family of jets in a sweeping recall affecting more than half the global fleet, threatening upheaval during the busiest travel weekend of the year in the United States and disruption worldwide. From a report: The setback appears to be among the largest recalls affecting Airbus in its 55-year history and comes weeks after the A320 overtook the Boeing 737 as the most-delivered model. At the time Airbus issued its bulletin to the plane's more than 350 operators, some 3,000 A320-family jets were in the air.

The fix mainly involves reverting to earlier software and is relatively simple, but must be carried out before the planes can fly again, other than repositioning to repair centres, according to the bulletin to airlines seen by Reuters. Airlines from the United States to South America, Europe, India and New Zealand warned the repairs could potentially cause flight delays or cancellations.

The U.S. Patent and Trademark Office has issued new guidelines outlining when inventions created with the help of AI can be patented. From a report: USPTO Director John Squires said on Wednesday in a notice set to be published Friday, that the office considers generative AI systems to be "analogous to laboratory equipment, computer software, research databases, or any other tool that assists in the inventive process."

"They may provide services and generate ideas, but they remain tools used by the human inventor who conceived the claimed invention," the office said. "When one natural person is involved in creating an invention with the assistance of AI, the inquiry is whether that person conceived the invention under the traditional conception standard."

The office reiterated its guidance from last year that AI itself cannot be considered an inventor under U.S. patent law. However, it rejected the approach taken by the PTO during former President Joe Biden's administration for deciding when AI-assisted inventions are patentable, which relied on a standard normally used to determine when multiple people can qualify as joint inventors.

As Stranger Things releases the first four episodes of its final season today, nearly a decade after its July 2016 premiere, the Netflix series has come to represent something broader than its own popularity -- the embodiment of streaming television's algorithmic philosophy. When the show first appeared, streaming was still finding its footing. Netflix had been producing original series for only a few years, and services like Disney+, Apple TV and HBO Max did not yet exist.

The question then was what form streaming originals would take: experimental fare like Sense8, nonlinear storytelling like the revived Arrested Development, or prestige dramas like House of Cards. The answer came from a popcorn horror thriller set in 1980s small-town Hawkins, Indiana. Matt and Ross Duffer built Stranger Things from vintage pop-culture parts -- Spielberg's coming-of-age sensibilities from E.T., Stephen King's horror and adolescent bonding, John Hughes' mean jocks and soulful goths, and references ranging from Kate Bush to The NeverEnding Story to casting Winona Ryder of Heathers and Beetlejuice fame.

New York Times critic James Poniewozik calls the series "a human-made equivalent of the algorithm" -- the software engine that drives streaming's "if you liked that, you'll like this" recommendation philosophy. Netflix did not invent the idea of copying television success, but the algorithm automated it and made it part of the creative operating system. The show's structure also fits streaming's mechanics: binge-watching encouragement, irregular release schedules, and episodes that assume audiences have time (the last season finale ran two hours and 22 minutes). The story adds: It's why you see a menu of similar thumbnail recommendations once you finish streaming a favorite series, encouraging you not to discover but to replicate. But the spirit behind it also explains why so much original streaming TV feels like the creative product of an algorithm. Consider the recent Netflix drama "The Beast in Me," which pairs familiar prestige-TV stars (Claire Danes of "Homeland" and Matthew Rhys of "The Americans") in a grim, upscale thriller that vaguely recalls something you might have seen on early 2010s Showtime or FX.

Creating the new by swallowing and regurgitating the old is also the signature move of generative A.I., which may be why that medium is so effective at creating works of burnished nostalgia. On Instagram and TikTok, accounts with names like "Maximal Nostalgia" serve up honeyed, uncanny images and videos that testify to how much better life was in a 1980s and 1990s that never existed.

OpenAI will need to raise at least $207 billion in new funding by 2030 to sustain operations while continuing to lose money, according to a new analysis from HSBC that models the company's cloud computing commitments against projected revenue. The bank's US software team updated its forecasts after OpenAI announced a $250 billion cloud compute rental deal with Microsoft in late October and a $38 billion deal with Amazon days later, bringing total contracted compute capacity to 36 gigawatts.

HSBC projects cumulative rental costs of $792 billion through 2030. Revenue growth remains strong in the model -- the bank expects OpenAI to reach 3 billion users by decade's end, up from roughly 800 million today -- but costs rise in lockstep, meaning OpenAI will still be subsidizing users well into the next decade. If revenue growth disappoints and investors turn cautious, the company's best option might be walking away from some data center commitments.

Up to 3 million low-skilled jobs could disappear in the UK by 2035 because of automation and AI, according to a report by a leading educational research charity. The Guardian: The jobs most at risk are those in occupations such as trades, machine operations and administrative roles, the National Foundation for Educational Research (NFER) said. Highly skilled professionals, on the other hand, were forecast to be more in demand as AI and technological advances increase workloads "at least in the short to medium term."

Overall, the report expects the UK economy to add 2.3 million jobs by 2035, but unevenly distributed. The findings stand in contrast to other recent research suggesting AI will affect highly skilled, technical occupations such as software engineering and management consultancy more than trades and manual work.

Chinese automakers may not be able to sell their electric vehicles in the United States due to steep tariffs and software restrictions, but they have found an alternative path to American eyeballs through a coordinated campaign targeting car influencers on YouTube, TikTok, and Instagram. The effort, the Verge reports, is largely organized by DCar Studio, a platform that invites US-based creators to Los Angeles to test-drive vehicles from brands like BYD, Geely and Xiaomi. DCar is actually Dongchedi, a car trading platform owned by TikTok parent ByteDance that raised $600 million on a $3 billion valuation in 2024. The strategy appears aimed at building global brand awareness rather than direct US sales.

Mark Greeven, professor at IMD Business School, told The Verge that American influencers still shape opinions across the Western world. "The charm offensive is to work with American influencers about Chinese EV cars because we still have a dominant opinion in the Western world, which is formed by English-speaking influential figures on social media," he said. Several creators told The Verge they have heard rumors of undisclosed payments for positive coverage.

The Justice Department has reached an agreement to settle an antitrust lawsuit against RealPage, a real estate software company that the government accused of enabling landlords to collude to raise rents. From a report: Using RealPage software, landlords shared information about their rents and occupancy rates with the company, after which an algorithm suggested what to charge renters. The government's suit, which was joined by several state attorneys general, accused RealPage of taking the confidential information and suggesting rents higher than those in a free market.

Under the settlement proposal, which requires approval by a federal judge overseeing the case in the Middle District of North Carolina, RealPage's software could no longer use information about current leases to train its algorithm. Nonpublic data from competing landlords would also be excluded when suggesting rents. "Competing companies must make independent pricing decisions, and with the rise of algorithmic and artificial intelligence tools, we will remain at the forefront of vigorous antitrust enforcement," said Gail Slater, who leads the antitrust division at the Department of Justice, in a news release.

Core Devices has fully open-sourced the entire Pebble software stack and confirmed the first Pebble Time 2 shipments will start in January. "This is the clearest sign yet that the platform is shifting from a company-led product to a community-backed project that can survive independently," reports Gadgets & Wearables. From the report: The announcement follows weeks of tension between Core Devices and parts of the Pebble community. By moving from 95 to 100 percent open source, the company has essentially removed itself as a bottleneck. Users can now build, run, and maintain every piece of software needed to operate a Pebble watch. That includes firmware for the watch and mobile apps for Android and iOS. This puts the entire software stack into public hands. According to the announcement, Core Devices has released the mobile app source code, enabled decentralized app distribution, and made hardware more repairable with replaceable batteries and published design files.

An anonymous reader quotes a report from Ars Technica: Some members of the maker community are distraught about Arduino's new terms of service (ToS), saying that the added rules put the company's open source DNA at risk. Arduino updated its ToS and privacy policy this month, which is about a month after Qualcomm announced that it's acquiring the open source hardware and software company. Among the most controversial changes is this addition: "User shall not: translate, decompile or reverse-engineer the Platform, or engage in any other activity designed to identify the algorithms and logic of the Platform's operation, unless expressly allowed by Arduino or by applicable license agreements ..."

In response to concerns from some members of the maker community, including from open source hardware distributor and manufacturer Adafruit, Arduino posted a blog on Friday. Regarding the new reverse-engineering rule, Arduino's blog said: "Any hardware, software or services (e.g. Arduino IDE, hardware schematics, tooling and libraries) released with Open Source licenses remain available as before. Restrictions on reverse-engineering apply specifically to our Software-as-a-Service cloud applications. Anything that was open, stays open."

But Adafruit founder and engineer Limor Fried and Adafruit managing editor Phillip Torrone are not convinced. They told Ars Technica that Arduino's blog leaves many questions unanswered and said that they've sent these questions to Arduino without response. "Why is reverse-engineering prohibited at all for a company built on openly hackable systems?" Fried and Torrone asked in a shared statement. There are also concerns about the ToS' broad new AI-monitoring powers, which offer little clarity on what data is collected, who can access it, or how long it's retained. On top of that, the update introduces an unusual patent clause that bars users from using the platform to identify potential infringement by Arduino or its partners, along with sweeping, perpetual rights over user-generated content. This could allow Arduino, and potentially Qualcomm, to republish, modify, monetize, or redistribute user uploads indefinitely.

Apple's next major iPhone software update will prioritize stability and performance over flashy new features, according to Bloomberg's Mark Gurman, who reports that iOS 27 is being developed as a "Snow Leopard-style" release [non-paywalled source] focused on fixing bugs, removing bloat and improving underlying code after this year's sweeping Liquid Glass design overhaul in iOS 26.

Engineering teams are currently combing through Apple's operating systems to eliminate unnecessary code and address quality issues that users have reported since iOS 26's September release. Those complaints include device overheating, unexplained battery drain, user interface glitches, keyboard failures, cellular connectivity problems, app crashes, and sluggish animations.

iOS 27 won't be feature-free. Apple plans several AI additions: a health-focused AI agent tied to a Health+ subscription, expanded AI-powered web search meant to compete with ChatGPT and Perplexity, and deeper AI integration across apps. The company has also been internally testing a chatbot app called Veritas as a proving ground for its re-architected Siri, though a standalone chatbot product isn't currently planned.

An anonymous reader shared this report from the Guardian: James and Owen were among 41 students who took a coding module at the University of Staffordshire last year, hoping to change careers through a government-funded apprenticeship programme designed to help them become cybersecurity experts or software engineers. But after a term of AI-generated slides being read, at times, by an AI voiceover, James said he had lost faith in the programme and the people running it, worrying he had "used up two years" of his life on a course that had been done "in the cheapest way possible".

"If we handed in stuff that was AI-generated, we would be kicked out of the uni, but we're being taught by an AI," said James during a confrontation with his lecturer recorded as a part of the course in October 2024. James and other students confronted university officials multiple times about the AI materials. But the university appears to still be using AI-generated materials to teach the course. This year, the university uploaded a policy statement to the course website appearing to justify the use of AI, laying out "a framework for academic professionals leveraging AI automation" in scholarly work and teaching...

For students, AI teaching appears to be less transformative than it is demoralising. In the US, students post negative online reviews about professors who use AI. In the UK, undergraduates have taken to Reddit to complain about their lecturers copying and pasting feedback from ChatGPT or using AI-generated images in courses.
"I feel like a bit of my life was stolen," James told the Guardian (which also quotes an unidentified student saying they felt "robbed of knowledge and enjoyment".) But the article also points out that a survey last year of 3,287 higher-education teaching staff by edtech firm Jisc found that nearly a quarter were using AI tools in their teaching.

In October cryptologist/CS professor Daniel J. Bernstein alleged that America's National Security Agency (and its UK counterpart GCHQ) were attempting to influence NIST to adopt weaker post-quantum cryptography standards without a "hybrid" approach that would've also included pre-quantum ECC.

Bernstein is of the opinion that "Given how many post-quantum proposals have been broken and the continuing flood of side-channel attacks, any competent engineering evaluation will conclude that the best way to deploy post-quantum [PQ] encryption for TLS, and for the Internet more broadly, is as double encryption: post-quantum cryptography on top of ECC." But he says he's seen it playing out differently: By 2013, NSA had a quarter-billion-dollar-a-year budget to "covertly influence and/or overtly leverage" systems to "make the systems in question exploitable"; in particular, to "influence policies, standards and specification for commercial public key technologies". NSA is quietly using stronger cryptography for the data it cares about, but meanwhile is spending money to promote a market for weakened cryptography, the same way that it successfully created decades of security failures by building up the market for, e.g., 40-bit RC4 and 512-bit RSA and Dual EC. I looked concretely at what was happening in IETF's TLS working group, compared to the consensus requirements for standards-development organizations. I reviewed how a call for "adoption" of an NSA-driven specification produced a variety of objections that weren't handled properly. ("Adoption" is a preliminary step before IETF standardization....) On 5 November 2025, the chairs issued "last call" for objections to publication of the document. The deadline for input is "2025-11-26", this coming Wednesday.
Bernstein also shares concerns about how the Internet Engineering Task Force is handling the discussion, and argues that the document is even "out of scope" for the IETF TLS working group This document doesn't serve any of the official goals in the TLS working group charter. Most importantly, this document is directly contrary to the "improve security" goal, so it would violate the charter even if it contributed to another goal... Half of the PQ proposals submitted to NIST in 2017 have been broken already... often with attacks having sufficiently low cost to demonstrate on readily available computer equipment. Further PQ software has been broken by implementation issues such as side-channel attacks.
He's also concerned about how that discussion is being handled: On 17 October 2025, they posted a "Notice of Moderation for Postings by D. J. Bernstein" saying that they would "moderate the postings of D. J. Bernstein for 30 days due to disruptive behavior effective immediately" and specifically that my postings "will be held for moderation and after confirmation by the TLS Chairs of being on topic and not disruptive, will be released to the list"...

I didn't send anything to the IETF TLS mailing list for 30 days after that. Yesterday [November 22nd] I finished writing up my new objection and sent that in. And, gee, after more than 24 hours it still hasn't appeared... Presumably the chairs "forgot" to flip the censorship button off after 30 days.
Thanks to alanw (Slashdot reader #1,822) for spotting the blog posts.

"The internet did transform work — but not the way 1998 thought..." argues the Wall Street Journal. "The internet slipped inside almost every job and rewired how work got done."

So while the number of single-task jobs like travel agent dropped, most jobs "are bundles of judgment, coordination and hands-on work," and instead the internet brought "the quiet transformation of nearly every job in the economy... Today, just 10% of workers make minimal use of the internet on the job — roles like butcher and carpet installer." [T]he bigger story has been additive. In 1998, few could conceive of social media — let alone 65,000 social-media managers — and 200,000 information-security analysts would have sounded absurd when data still lived on floppy disks... Marketing shifted from campaign bursts to always-on funnels and A/B testing. Clinics embedded e-prescribing and patient portals, reshaping front-office and clinical handoffs. The steps, owners and metrics shifted. Only then did the backbone scale: We went from server closets wedged next to the mop sink to data centers and cloud regions, from lone system administrators to fulfillment networks, cybersecurity and compliance.

That is where many unexpected jobs appeared. Networked machines and web-enabled software quietly transformed back offices as much as our on-screen lives. Similarly, as e-commerce took off, internet-enabled logistics rewired planning roles — logisticians, transportation and distribution managers — and unlocked a surge in last-mile work. The build-out didn't just hire coders; it hired coordinators, pickers, packers and drivers. It spawned hundreds of thousands of warehouse and delivery jobs — the largest pockets of internet-driven job growth, and yet few had them on their 1998 bingo card... Today, the share of workers in professional and managerial occupations has more than doubled since the dawn of the digital era.

So what does that tell us about AI? Our mental model often defaults to an industrial image — John Henry versus the steam drill — where jobs are one dominant task, and automation maps one-to-one: Automate the task, eliminate the job. The internet revealed a different reality: Modern roles are bundles. Technologies typically hit routine tasks first, then workflows, and only later reshape jobs, with second-order hiring around the backbone. That complexity is what made disruption slower and more subtle than anyone predicted. AI fits that pattern more than it breaks it... [LLMs] can draft briefs, summarize medical notes and answer queries. Those are tasks — important ones — but still parts of larger roles. They don't manage risk, hold accountability, reassure anxious clients or integrate messy context across teams. Expect a rebalanced division of labor: The technical layer gets faster and cheaper; the human layer shifts toward supervision, coordination, complex judgment, relationship work and exception handling.

What to expect from AI, then, is messy, uneven reshuffling in stages. Some roles will contract sharply — and those contractions will affect real people. But many occupations will be rewired in quieter ways. Productivity gains will unlock new demand and create work that didn't exist, alongside a build-out around data, safety, compliance and infrastructure.

AI is unprecedented; so was the internet. The real risk is timing: overestimating job losses, underestimating the long, quiet rewiring already under way, and overlooking the jobs created in the backbone. That was the internet's lesson. It's likely to be AI's as well.

A promotional video for Amazon's Kiro software development system took a unique approach, writes GeekWire. "Instead of product diagrams or keynote slides, a crew from Seattle's Packrat creative studio used action figures on a miniature set to create a stop-motion sequence..."

"Can the software development hero conquer the 'AI Slop Monster' to uncover the gleaming, fully functional robot buried beneath the coding chaos?" Kiro (pronounced KEE-ro) is Amazon's effort to rethink how developers use AI. It's an integrated development environment that attempts to tame the wild world of vibe coding... But rather than simply generating code from prompts [in "vibe mode"], Kiro breaks down requests into formal specifications, design documents, and task lists [in "spec mode"]. This spec-driven development approach aims to solve a fundamental problem with vibe coding: AI can quickly generate prototypes, but without structure or documentation, that code becomes unmaintainable...

The market for AI-powered development tools is booming. Gartner expects AI code assistants to become ubiquitous, forecasting that 90% of enterprise software engineers will use them by 2028, up from less than 14% in early 2024... Amazon launched Kiro in preview in July, to a strong response. Positive early reviews were tempered by frustration from users unable to gain access. Capacity constraints have since been resolved, and Amazon says more than 250,000 developers used Kiro in the first three months...

Now, the company is taking Kiro out of preview into general availability, rolling out new features and opening the tool more broadly to development teams and companies... During the preview period, Kiro handled more than 300 million requests and processed trillions of tokens as developers explored its capabilities, according to stats provided by the company. Rackspace used Kiro to complete what they estimated as 52 weeks of software modernization in three weeks, according to Amazon executives. SmugMug and Flickr are among other companies espousing the virtues of Kiro's spec-driven development approach. Early users are posting in glowing terms about the efficiencies they're seeing from adopting the tool... startups in most countries can apply for up to 100 free Pro+ seats for a year's worth of Kiro credits.
Kiro offers property-based testing "to verify that generated code actually does what developers specified," according to the article — plus a checkpointing system that "lets developers roll back changes or retrace an agent's steps when an idea goes sideways..."

"And yes, they've been using Kiro to build Kiro, which has allowed them to move much faster."

"PHP 8.5 landed on Thursday with a long-awaited pipe operator and a new standards-compliant URI parser," reports the Register, "marking one of the scripting language's more substantial updates... " The pipe operator allows function calls to be chained together, which avoids the extraneous variables and nested statements that might otherwise be involved. Pipes tend to make code more readable than other ways to implement serial operations. Anyone familiar with the Unix/Linux command line or programming languages like R, F#, Clojure, or Elixir may have used the pipe operator. In JavaScript, aka ECMAScript, a pipe operator has been proposed, though there are alternatives like method chaining.

Another significant addition is the URI extension, which allows developers to parse and modify URIs and URLs based on both the RFC 3986 and the WHATWG URL standards. Parsing with URIs and URLs â" reading them and breaking them down into their different parts â" is a rather common task for web-oriented applications. Yet prior versions of PHP didn't include a standards-compliant parser in the standard library. As noted by software developer Tim Düsterhus, the parse_url() function that dates back to PHP 4 doesn't follow any standard and comes with a warning that it should not be used with untrusted or malformed URLs.

Other noteworthy additions to the language include: Clone With, for updating properties more efficiently; the #[\NoDiscard] attribute, for warning when a return value goes unused; the ability to use static closures and first-class callables in constant expressions; and persistent cURL handles that can be shared across multiple PHP requests.