Long-time Slashdot reader theodp writes: Last September, tech-backed nonprofit Code.org pledged to engage 25 million K-12 schoolchildren in an "Hour of AI" this school year. Preliminary numbers released this week by the Code.org Advocacy Coalition showed that [halfway through the five-day event Computer Science Education Week] 13.1 million users had participated in the inaugural Hour of AI, attaining 52.4% of its goal of 25 million participants.

In a pivot from coding to AI literacy, the Hour of AI replaced Code.org's hugely-popular Hour of Code this December as the flagship event of Computer Science Education Week (December 8-14). According to Code.org's 2024-25 Impact Report, "in 2024–25 alone, students logged over 100 million Hours of Code, including more than 43 million in the four months leading up to and including CS Education Week."
Minecraft participated with their own Hour of AI lessons. ("Program an AI Agent to craft tools and build shelter before dusk falls in this iconic challenge!") And Google contributed AI Quests, "a gamified, in-class learning experience" allowing students to "step into the shoes of Google researchers using AI to solve real-world challenges." Other participating organizations included the Scratch Foundation, Lego Education, Adobe, and Roblox.

And Microsoft contributed two — including one with their block-based programming environment Microsoft MakeCode Arcade, with students urged to "code and train your own super-smart bug using AI algorithms and challenge other AI bugs in an epic Tower battle for ultimate Bug Arena glory!"

See all the educational festivities here...

The team authoring the Rust 2025 Vision Doc interviewed Rust developers to find out what they liked about the language — and have now issued three recommendations "to help Rust continue to scale across domains and usage levels."

— Enumerate and describe Rust's design goals and integrate them into our processes, helping to ensure they are observed by future language designers and the broader ecosystem.

— Double down on extensibility, introducing the ability for crates to influence the develop experience and the compilation pipeline.

— Help users to navigate the crates.io ecosystem and enable smoother interop

The real "empowering magic" of Rust arises from achieving a number of different attributes all at once — reliability, efficiency, low-level control, supportiveness, and so forth. It would be valuable to have a canonical list of those values that we could collectively refer to as a community and that we could use when evaluating RFCs or other proposed designs... We recommend creating an RFC that defines the goals we are shooting for as we work on Rust... One insight from our research is that we don't need to define which values are "most important". We've seen that for Rust to truly work, it must achieveallthe factors at once...

We recommenddoubling down on extensibilityas a core strategy. Rust's extensibility — traits, macros, operator overloading — has been key to its versatility. But that extensibility is currently concentrated in certain areas: the type system and early-stage proc macros. We should expand it to coversupportive interfaces(better diagnostics and guidance from crates) andcompilation workflow(letting crates integrate at more stages of the build process)... Doubling down on extensibility will not only make current Rust easier to use, it will enable and support Rust's use in new domains. Safety Critical applications in particular require a host of custom lints and tooling to support the associated standards. Compiler extensibility allows Rust to support those niche needs in a more general way.

We recommend finding ways to help users navigate the crates.io ecosystem... [F]inding which crates to use presents a real obstacle when people are getting started. The Rust org maintains a carefully neutral stance, which is good, but also means that people don't have anywhere to go for advice on a good "starter set" crates... Part of the solution is enabling better interop between libraries.

One developer tells MIT Technology Review that AI tools weaken the coding instincts he used to have. And beyond that, "It's just not fun sitting there with my work being done for me."

But is AI making coders faster? "After speaking to more than 30 developers, technology executives, analysts, and researchers, MIT Technology Review found that the picture is not as straightforward as it might seem..." For some developers on the front lines, initial enthusiasm is waning as they bump up against the technology's limitations. And as a growing body of research suggests that the claimed productivity gains may be illusory, some are questioning whether the emperor is wearing any clothes.... Data from the developer analytics firm GitClear shows that most engineers are producing roughly 10% more durable code — code that isn't deleted or rewritten within weeks — since 2022, likely thanks to AI. But that gain has come with sharp declines in several measures of code quality. Stack Overflow's survey also found trust and positive sentiment toward AI tools falling significantly for the first time. And most provocatively, a July study by the nonprofit research organization Model Evaluation & Threat Research (METR) showed that while experienced developers believed AI made them 20% faster, objective tests showed they were actually 19% slower...

Developers interviewed by MIT Technology Review generally agree on where AI tools excel: producing "boilerplate code" (reusable chunks of code repeated in multiple places with little modification), writing tests, fixing bugs, and explaining unfamiliar code to new developers. Several noted that AI helps overcome the "blank page problem" by offering an imperfect first stab to get a developer's creative juices flowing. It can also let nontechnical colleagues quickly prototype software features, easing the load on already overworked engineers. These tasks can be tedious, and developers are typically glad to hand them off. But they represent only a small part of an experienced engineer's workload. For the more complex problems where engineers really earn their bread, many developers told MIT Technology Review, the tools face significant hurdles...

The models also just get things wrong. Like all LLMs, coding models are prone to "hallucinating" — it's an issue built into how they work. But because the code they output looks so polished, errors can be difficult to detect, says James Liu, director of software engineering at the advertising technology company Mediaocean. Put all these flaws together, and using these tools can feel a lot like pulling a lever on a one-armed bandit. "Some projects you get a 20x improvement in terms of speed or efficiency," says Liu. "On other things, it just falls flat on its face, and you spend all this time trying to coax it into granting you the wish that you wanted and it's just not going to..." There are also more specific security concerns, she says. Researchers have discovered a worrying class of hallucinations where models reference nonexistent software packages in their code. Attackers can exploit this by creating packages with those names that harbor vulnerabilities, which the model or developer may then unwittingly incorporate into software.
Other key points from the article:

• LLMs can only hold limited amounts of information in context windows, so "they struggle to parse large code bases and are prone to forgetting what they're doing on longer tasks."

• "While an LLM-generated response to a problem may work in isolation, software is made up of hundreds of interconnected modules. If these aren't built with consideration for other parts of the software, it can quickly lead to a tangled, inconsistent code base that's hard for humans to parse and, more important, to maintain."

• "Accumulating technical debt is inevitable in most projects, but AI tools make it much easier for time-pressured engineers to cut corners, says GitClear's Harding. And GitClear's data suggests this is happening at scale..."

• "As models improve, the code they produce is becoming increasingly verbose and complex, says Tariq Shaukat, CEO of Sonar, which makes tools for checking code quality. This is driving down the number of obvious bugs and security vulnerabilities, he says, but at the cost of increasing the number of 'code smells' — harder-to-pinpoint flaws that lead to maintenance problems and technical debt."

Yet the article cites a recent Stanford University study that found employment among software developers aged 22 to 25 dropped nearly 20% between 2022 and 2025, "coinciding with the rise of AI-powered coding tools."

The story is part of MIT Technology Review's new Hype Correction series of articles about AI.

Elite computer science degrees are no longer a guaranteed on-ramp to tech jobs, as AI-driven coding tools slash demand for entry-level engineers and concentrate hiring around a small pool of already "elite" or AI-savvy developers. The Los Angeles Times reports: "Stanford computer science graduates are struggling to find entry-level jobs" with the most prominent tech brands, said Jan Liphardt, associate professor of bioengineering at Stanford University. "I think that's crazy." While the rapidly advancing coding capabilities of generative AI have made experienced engineers more productive, they have also hobbled the job prospects of early-career software engineers. Stanford students describe a suddenly skewed job market, where just a small slice of graduates -- those considered "cracked engineers" who already have thick resumes building products and doing research -- are getting the few good jobs, leaving everyone else to fight for scraps.

"There's definitely a very dreary mood on campus," said a recent computer science graduate who asked not to be named so they could speak freely. "People [who are] job hunting are very stressed out, and it's very hard for them to actually secure jobs." The shake-up is being felt across California colleges, including UC Berkeley, USC and others. The job search has been even tougher for those with less prestigious degrees. [...] Data suggests that even though AI startups like OpenAI and Anthropic are hiring many people, it is not offsetting the decline in hiring elsewhere. Employment for specific groups, such as early-career software developers between the ages of 22 and 25 has declined by nearly 20% from its peak in late 2022, according to a Stanford study. [...]

A common sentiment from hiring managers is that where they previously needed ten engineers, they now only need "two skilled engineers and one of these LLM-based agents," which can be just as productive, said Nenad Medvidovic, a computer science professor at the University of Southern California. "We don't need the junior developers anymore," said Amr Awadallah, CEO of Vectara, a Palo Alto-based AI startup. "The AI now can code better than the average junior developer that comes out of the best schools out there." [...] Stanford students say they are arriving at the job market and finding a split in the road; capable AI engineers can find jobs, but basic, old-school computer science jobs are disappearing. As they hit this surprise speed bump, some students are lowering their standards and joining companies they wouldn't have considered before. Some are creating their own startups. A large group of frustrated grads are deciding to continue their studies to beef up their resumes and add more skills needed to compete with AI.

The new chief of Britain's Secret Intelligence Service told officers this week that they must become as fluent in programming languages like Python as they are in foreign languages like Russian as the spy agency adapts to what she described as a space between peace and war. Blaise Metreweli, MI6's first female chief and previously the service's director general of technology and innovation, said in her first public speech that mastery of technology is now required across the organization.

She warned that advanced technologies including AI, biotechnology and quantum computing are revolutionizing both economies and the reality of conflict. Metreweli focused particularly on threats from Russia, saying the country is testing the UK in the grey zone through cyberattacks on critical infrastructure, drones near sensitive sites and propaganda operations.

AI "has gutted entry-level roles in the tech industry," reports Rest of World.

One student at a high-ranking engineering college in India tells them that among his 400 classmates, "fewer than 25% have secured job offers... there's a sense of panic on the campus." Students at engineering colleges in India, China, Dubai, and Kenya are facing a "jobpocalypse" as artificial intelligence replaces humans in entry-level roles. Tasks once assigned to fresh graduates, such as debugging, testing, and routine software maintenance, are now increasingly automated. Over the last three years, the number of fresh graduates hired by big tech companies globally has declined by more than 50%, according to a report published by SignalFire, a San Francisco-based venture capital firm. Even though hiring rebounded slightly in 2024, only 7% of new hires were recent graduates. As many as 37% of managers said they'd rather use AI than hire a Gen Z employee...

Indian IT services companies have reduced entry-level roles by 20%-25% thanks to automation and AI, consulting firm EY said in a report last month. Job platforms like LinkedIn, Indeed, and Eures noted a 35% decline in junior tech positions across major EU countries during 2024...

"Five years ago, there was a real war for [coders and developers]. There was bidding to hire," and 90% of the hires were for off-the-shelf technical roles, or positions that utilize ready-made technology products rather than requiring in-house development, said Vahid Haghzare, director at IT hiring firm Silicon Valley Associates Recruitment in Dubai. Since the rise of AI, "it has dropped dramatically," he said. "I don't even think it's touching 5%. It's almost completely vanished." The company headhunts workers from multiple countries including China, Singapore, and the U.K... The current system, where a student commits three to five years to learn computer science and then looks for a job, is "not sustainable," Haghzare said. Students are "falling down a hole, and they don't know how to get out of it."

An anonymous reader shared this report from Phoronix: Due to the growing number of GNOME Shell extensions looking to appear on extensions.gnome.org that were generated using AI, it's now prohibited. The new rule in their guidelines note that AI-generated code will be explicitly rejected:

"Extensions must not be AI-generated

While it is not prohibited to use AI as a learning aid or a development tool (i.e. code completions), extension developers should be able to justify and explain the code they submit, within reason.

Submissions with large amounts of unnecessary code, inconsistent code style, imaginary API usage, comments serving as LLM prompts, or other indications of AI-generated output will be rejected."
In a blog post, GNOME developer Javad Rahmatzadeh explains that "Some devs are using AI without understanding the code..."

The R programming language "is sometimes frowned upon by 'traditional' software engineers," says the CEO of software quality services vendor Tiobe, "due to its unconventional syntax and limited scalability for large production systems." But he says it "continues to thrive at universities and in research-driven industries, and "for domain experts, it remains a powerful and elegant tool."

Yet it's now gaining more popularity as statistics and large-scale data visualization become important (a trend he also sees reflected in the rise of Wolfram/Mathematica). That's according to December's edition of his TIOBE Index, which attempts to rank the popularity of programming languages based on search-engine results for courses, third-party vendors, and skilled engineers. InfoWorld explains: In the December 2025 index, published December 7, R ranks 10th with a 1.96% rating. R has cracked the Tiobe index's top 10 before, such as in April 2020 and July 2020, but not in recent years. The rival Pypl Popularity of Programming Language Index, meanwhile, has R ranked fifth this month with a 5.84% share. "Programming language R is known for fitting statisticians and data scientists like a glove," said Paul Jansen, CEO of software quality services vendor Tiobe, in a bulletin accompanying the December index...

Although data science rival Python has eclipsed R in terms of general adoption, Jansen said R has carved out a solid and enduring niche, excelling at rapid experimentation, statistical modeling, and exploratory data analysis. "We have seen many Tiobe index top 10 entrants rising and falling," Jansen wrote. "It will be interesting to see whether R can maintain its current position."
"Python remains ahead at 23.64%," notes TechRepublic, "while the familiar chase group behind it holds steady for the moment. The real movement comes deeper in the list, where SQL edges upward, R rises to the top 10, and Delphi/Object Pascal slips away... SQLclimbs from tenth to eighth at 2.10%, adding a small +0.11% that's enough to move it upward in a tightly packed section of the table. Perl holds ninth at 1.97%, strengthened by a +1.33% gain that extends its late-year resurgence."

It's interesting to see how TIOBE's ranking compare with PYPL's (which ranks languages based solely on how often language tutorials are searched on Google):

TIOBE	PYPL
Python	Python
C	C/C++
C++	Objective-C
Java	Java
C#	R
JavaScript	JavaScript
Visual Basic	Swift
SQL	C#
Perl	PHP
R	Rust

Despite their different methodologies, both lists put Python at #1, Java at #5, and JavaScript at #7.

"The entire java.applet package has been removed from JDK 26, which will release in March 2026," notes Inside Java.

But long-time Slashdot reader AirHog links to this blog post reminding us that "Applets Are Officially Gone, But Java In The Browser Is Better Than Ever." This brings to an official end the era of applets, which began in 1996. However, for years it has been possible to build modern, interactive web pages in Java without needing applets or plugins. TeaVM provides fast, performant, and lightweight tooling to transpile Java to run natively in the browser...

TeaVM, at its heart, transpiles Java code into JavaScript (or, these days, WASM). However, in order for Java code to be useful for web apps, much more is required, and TeaVM delivers. It includes a minifier, to shrink the generated code and obfuscate the intent, to complicate reverse-engineering. It has a tree-shaker to eliminate unused methods and classes, keeping your app download compact. It packages your code into a single file for easy distribution and inclusion in your HTML page. It also includes wrappers for all popular browser APIs, so you can invoke them from your Java code easily, with full IDE assistance and auto-correct.
The blog post also touts Flavour, an open-source framework "for coding, packaging, and optimizing single-page apps implemented in Java... a full front-end toolkit with templates, routing, components, and more" to "build your modern single-page app using 100% Java."

Steven J. Vaughan-Nichols files this report from Tokyo: At the invitation-only Linux Kernel Maintainers Summit here, the top Linux maintainers decided, as Jonathan Corbet, Linux kernel developer, put it, "The consensus among the assembled developers is that Rust in the kernel is no longer experimental — it is now a core part of the kernel and is here to stay. So the 'experimental' tag will be coming off." As Linux kernel maintainer Steven Rosted told me, "There was zero pushback."

This has been a long time coming. This shift caps five years of sometimes-fierce debate over whether the memory-safe language belonged alongside C at the heart of the world's most widely deployed open source operating system... It all began when Alex Gaynor and Geoffrey Thomas at the 2019 Linux Security Summit said that about two-thirds of Linux kernel vulnerabilities come from memory safety issues. Rust, in theory, could avoid these by using Rust's inherently safer application programming interfaces (API)... In those early days, the plan was not to rewrite Linux in Rust; it still isn't, but to adopt it selectively where it can provide the most security benefit without destabilizing mature C code. In short, new drivers, subsystems, and helper libraries would be the first targets...

Despite the fuss, more and more programs were ported to Rust. By April 2025, the Linux kernel contained about 34 million lines of C code, with only 25 thousand lines written in Rust. At the same time, more and more drivers and higher-level utilities were being written in Rust. For instance, the Debian Linux distro developers announced that going forward, Rust would be a required dependency in its foundational Advanced Package Tool (APT).

This change doesn't mean everyone will need to use Rust. C is not going anywhere. Still, as several maintainers told me, they expect to see many more drivers being written in Rust. In particular, Rust looks especially attractive for "leaf" drivers (network, storage, NVMe, etc.), where the Rust-for-Linux bindings expose safe wrappers over kernel C APIs. Nevertheless, for would-be kernel and systems programmers, Rust's new status in Linux hints at a career path that blends deep understanding of C with fluency in Rust's safety guarantees. This combination may define the next generation of low-level development work.

id Software employees voted to form a wall-to-wall union with the CWA, covering all roles at the Doom studio. "The vote wasn't unanimous, though a majority did vote in favor of the union," notes Engadget. From the report: The union will work in conjunction with the Communications Workers of America (CWA), which is the same organization involved with parent company ZeniMax's recent unionization efforts. Microsoft, who owns ZeniMax, has already recognized this new effort, according to a statement by the CWA. It agreed to a labor neutrality agreement with the CWA and ZeniMax workers last year, paving the way for this sort of thing.

From the onset, this union will look to protect remote work for id Software employees. "Remote work isn't a perk. It's a necessity for our health, our families, and our access needs. RTO policies should not be handed down from executives with no consideration for accessibility or our well-being," said id Software Lead Services Programmer Chris Hays. He also said he looks forward to getting worker protections regarding the "responsible use of AI."

Anthropic is bringing Claude Code directly into Slack, letting developers spin up coding sessions from chat threads and automate workflows without leaving the app. TechCrunch reports: Previously, developers could only get lightweight coding help via Claude in Slack -- like writing snippets, debugging, and explanations. Now they can tag @Claude to spin up a complete coding session using Slack context like bug reports or feature requests. Claude analyzes recent messages to determine the right repository, posts progress updates in threads, and shares links to review work and open pull requests.

The move reflects a broader industry shift: AI coding assistants are migrating from IDEs (integrated development environment, where software development happens) into collaboration tools where teams already work. [...] While Anthropic has not yet confirmed when it would make a broader rollout available, the timing is strategic. The AI coding market is getting more competitive, and differentiation is starting to depend more on integration depth and distribution than model capability alone.

Wired published an article by California-based writer/programmer Sheon Han arguing that Ruby "is not a serious programming language."

Han believes that the world of programming has "moved on", and "everything Ruby does, another language now does better, leaving it without a distinct niche. Ruby is easy on the eyes. Its syntax is simple, free of semicolons or brackets. More so even thanPython — a language known for its readability — Ruby reads almost like plain English... Ruby, you might've guessed, is dynamically typed. Python and JavaScript are too, but over the years, those communities have developed sophisticated tools to make them behave more responsibly. None of Ruby's current solutions are on par with those. It's far too conducive to what programmers call "footguns," features that make it all too easy to shoot yourself in the foot.

Critically, Ruby's performance profile consistently ranks near the bottom (read: slowest) among major languages. You may remember Twitter's infamous "fail whale," the error screen with a whale lifted by birds that appeared whenever the service went down. You could say that Ruby was largely to blame. Twitter's collapse during the 2010 World Cup served as a wake-up call, and the company resolved to migrate its backend to Scala, a more robust language.

The move paid off: By the 2014 World Cup, Twitter handled a record 32 million tweets during the final match without an outage. Its new Scala-based backend could process up to 100 times faster than Ruby. In the 2010s, a wave of companies replaced much of their Ruby infrastructure, and when legacy Ruby code remained, new services were written in higher-performance languages.

You may wonderwhy people are still using Ruby in 2025. It survives because of its parasitic relationship with Ruby on Rails, the web framework that enabled Ruby's widespread adoption and continues to anchor its relevance.... Rails was the framework of choice for a new generation of startups. The main code bases of Airbnb, GitHub, Twitter, Shopify, and Stripe were built on it.
He points out on Stack Overflow's annual developer survey, Ruby has slipped from a top-10 technology in 2013 to #18 this year — "behind evenAssembly" — calling Ruby "a kind of professional comfort object, sustained by the inertia of legacy code bases and the loyalty of those who first imprinted upon it." But the article drew some criticism on X.com. ("You should do your next piece about how Vim isn't a serious editor and continue building your career around nerd sniping developers.")

Other reactions...

• "Maybe WIRED is just not a serious medium..."

• "FWIW — Ruby powered Shopify through another Black Friday / Cyber Monday — breaking last year's record."

• "Maybe you should have taken a look at TypeScript..."

Wired's subheading argues that Ruby "survives on affection, not utility. Let's move on." Are they right? Share your own thoughts and experiences in the comments.

Is Ruby still a 'serious' programming language?

Two Virginia brothers Muneeb and Sohaib Akhter, previously convicted of hacking the U.S. State Department, were rehired as federal contractors and are now charged with conspiring to steal sensitive data and destroy government databases after being fired. "Following the termination of their employment, the brothers allegedly sought to harm the company and its U.S. government customers by accessing computers without authorization, issuing commands to prevent others from modifying the databases before deletion, deleting databases, stealing information, and destroying evidence of their unlawful activities," the Justice Department said in a Wednesday press release. BleepingComputer reports: According to court documents, Muneeb Akhter deleted roughly 96 databases containing U.S. government information in February 2025, including Freedom of Information Act records and sensitive investigative documents from multiple federal agencies. One minute after deleting a Department of Homeland Security database, Muneeb Akhter also allegedly asked an artificial intelligence tool for instructions on clearing system logs after deleting a database.

The two defendants also allegedly ran commands to prevent others from modifying the targeted databases before deletion, and destroyed evidence of their activities. The prosecutors added that both men wiped company laptops before returning them to the contractor and discussed cleaning out their house in anticipation of a law enforcement search. The complaint also claims that Muneeb Akhter stole IRS information from a virtual machine, including federal tax data and identifying information for at least 450 individuals, and stole Equal Employment Opportunity Commission information after being fired by the government contractor.

Muneeb Akhter has been charged with conspiracy to commit computer fraud and destroy records, two counts of computer fraud, theft of U.S. government records, and two counts of aggravated identity theft. If found guilty, he faces a minimum of two years in prison for each aggravated identity theft count, with a maximum of 45 years on other charges. His brother, Sohaib, is charged with conspiracy to commit computer fraud and password trafficking, facing a maximum penalty of six years if convicted.

Anthropic has made its first acquisition by buying Bun, the engine behind its fast-growing Claude Code agent. The move strengthens Anthropic's push into enterprise developer tooling as it scales Claude Code with major backers like Microsoft, Nvidia, Amazon, and Google. Adweek reports: Claude Code is a coding agent that lets developers write, debug and interpret code through natural-language instructions. Claude Code had already hit $1 billion in revenue six months since its public debut in May, according to a LinkedIn post from Anthropic's chief product officer, Mike Krieger. The coding agent continues to barrel toward scale with customers like Netflix, Spotify, and Salesforce. Further reading: Meet Bun, a Speedy New JavaScript Runtime