Minecraft: Java Edition is switching its rendering backend from OpenGL to Vulkan as part of the upcoming Vibrant Visuals update, aiming for both better performance and modern graphics features across platforms like Linux and macOS (via translation layers). GamingOnLinux reports: For modders, they're suggesting they start making preparations to move away from OpenGL: "Switching from OpenGL to Vulkan will have an impact on the mods that currently use OpenGL for rendering, and we anticipate that updating from OpenGL to Vulkan will take modders more effort than the updates you undertake for each of our releases. To start with, we recommend our modding community look at moving away from OpenGL usage. We encourage authors to try to reuse as much of the internal rendering APIs as possible, to make this transition as easy as possible. If that is not sufficient for your needs, then come and talk to us!"

It does mean that players on really old devices that don't support Vulkan will be left out, but Vulkan has been supported going back to some pretty old GPUs. You've got time though, as they'll be rolling out Vulkan alongside OpenGL in snapshots (development releases) "sometime over the summer." You'll be able to toggle between them during the testing period until Mojang believe it's ready. OpenGL will be entirely removed eventually once they're happy with performance and stability.

For a quarter century, the TIOBE Index has attempted to rank the popularity of programming languages by the number of search engine results they bring up — and this week they had an announcement.

Over the last year the language showing the largest increase in its share of TIOBE's results was C#.

TIOBE founder/CEO Paul Jansen looks back at how C++ evolved: From a language-design perspective, C# has often been an early adopter of new trends among mainstream languages. At the same time, it successfully made two major paradigm shifts: from Windows-only to cross-platform, and from Microsoft-owned to open source. C# has consistently evolved at the right moment.

For many years now, there has been a direct battle between Java and C# for dominance in the business software market. I always assumed Java would eventually prevail, but after all this time the contest remains undecided. It is an open question whether Java — with its verbose, boilerplate-heavy style and Oracle ownership — can continue to keep C# at bay.
While C# remains stuck in the same #5 position it was in a year ago, its share of TIOBE's results rose 2.94% — the largest increase of the 100 languages in their rankngs.

But TIOBE's CEO notes that his rankings for the top 10 highest-scoring languages delivered "some interesting movements" in 2025: C and C++ swapped positions. [C rose to the #2 position — behind Python — while C++ dropped from #2 to the #4 rank that C held in January of 2025]. Although C++ is evolving faster than ever, some of its more radical changes — such as the modules concept — have yet to see widespread industry adoption. Meanwhile, C remains simple, fast, and extremely well suited to the ever-growing market of small embedded systems. Even Rust has struggled to penetrate this space, despite reaching an all-time high of position #13 this month.

So who were the other winners of 2025, besides C#? Perl made a surprising comeback, jumping from position #32 to #11 and re-entering the top 20. Another language returning to the top 10 is R, driven largely by continued growth in data science and statistical computing.

Of course, where there are winners, there are also losers. Go appears to have permanently lost its place in the top 10 during 2025. The same seems true for Ruby, which fell out of the top 20 and is unlikely to return anytime soon.

What can we expect from 2026? I have a long history of making incorrect predictions, but I suspect that TypeScript will finally break into the top 20. Additionally, Zig, which climbed from position #61 to #42 in 2025, looks like a strong candidate to enter the TIOBE top 30.
Here's how TIOBE estimated the 10 most popularity programming languages at the end of 2025

1. Python
2. C
3. Java
4. C++
5. C#
6. JavaScript
7. Visual Basic
8. SQL
9. Delphi/Object Pascal
10. R

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."

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

It's been trying to measure the popularity of programming languages since 2000 using metrics like the number of engineers, courses, and third-party vendors. And "The November 2025 TIOBE Index brings another twist below Python's familiar lead," writes TechRepublic. "C solidifies its position as runner-up, C++ and Java lose some ground, and C# moves sharply upward, narrowing the gap with Java to less than a percentage point..."

TIO CEO Paul Jansen said this month that "Instead of Python, programming language C# is now the fastest rising language," How did C# achieve this? Java and C# are battling for a long time in the same areas. Right now it seems like C# has removed every reason why not to use C# instead of Java: it is cross platform nowadays, it is open source and it contains all new language features a developer wants. While the financial world is still dominated by Java, all other terrains show equal shares between Java and C#. Besides this, Microsoft is going strong and C# is still their most backed programming language.

Interesting note: C# has never been higher than Java in the TIOBE index. Currently the difference between the two rivals is less than 1%. There are exciting times ahead of us. Is C# going to surpass Java for the first time in the TIOBE index history?
"The fact that C# has been in the news for the successive betas and pre-release candidates prior to the release of C# 14 may have bumped up its percentage share in the last few months," notes a post on the site i-Programmer. But they also point out that by TIOBE's reckoning, Java — having been overtaken by Python in 2021 — "has been in decline ever since."

TechRepublic summarizes the rest of the Top Ten: JavaScript stays in sixth place at 3.42%, and Visual Basic edges up to seventh with 3.31%. Delphi/Object Pascal nudges upward to eighth at 2.06%, while Perl returns to the top 10 in ninth at 1.84% after a sharp year-over-year climb. SQL rounds out the list at tenth with 1.80%, maintaining a foothold that shows the enduring centrality of relational databases. Go, which held eighth place in October, slips out of the top 10 entirely.
Here's how TIOBE's methodology ranks programming language popularity in November:

1. Python
2. C
3. C++
4. Java
5. C#
6. JavaScript
7. Visual Basic
8. Delphi/Object Pascal
9. Perl
10. SQL

Long-time Slashdot reader theodp took a good look at the images on a promotional web page for Databricks' "context-aware AI assistant": If there was an AI Demo Hall of Shame, the first inductee would have to be Amazon. Their demo tried to support its CEO's claims that Amazon Q Code Transformation AI saved it 4,500 developer-years and an additional $260 million in "annualized efficiency gains" by automatically and accurately upgrading code to a more current version of Java. But it showcased a program that didn't even spell "Java" correctly. (It was instead called 'Jave')...

Today's nominee for the AI Demo Hall of Shame inductee is analytics platform Databricks for the NYC Taxi Trips Analysis it's been showcasing on its Data Science page since last November. Not only for its choice of a completely trivial case study that requires no 'Data Science' skills — find and display the ten most expensive and longest taxi rides — but also for the horrible AI-generated bar chart used to present the results of the simple ranking that deserves its own spot in the Graph Hall of Shame. In response to a prompt of "Now create a new bar chart with matplotlib for the most expensive trips," the Databricks AI Assistant dutifully complies with the ill-advised request, spewing out Python code to display the ten rides on a nonsensical bar chart whose continuous x-axis hides points sharing the same distance. (One might also question why no annotation is provided to call out or explain the 3 trips with a distance of 0 miles that are among the ten most expensive rides, with fares of $260, $188, and $105).

Looked at with a critical eye, these examples used to sell data scientists, educators, management, investors, and Wall Street on AI would likely raise eyebrows rather than impress their intended audiences.

A demo of educational AI-powered tools by a Microsoft product manager (in March of 2024) showed "how AI has the possibility to transform various job sectors and the education system," according to one report.

But that demo "includes a segment on Copilot in Excel that is likely to resonate with AI-wary software developers," writes long-time Slashdot theodp: The Copilot in Excel segment purports to show how even teachers who were too "afraid of" or "intimidated" to use Excel in the past can now just use natural language prompts to conduct Excel analysis. But Copilot advises the teacher there are no 'outliers' in the exam scores for their 17 students, whose test scores range from 27%-100%. (This is apparently due to Copilot's choice of an inappropriate outlier detection method for this size population and score range). Fittingly, the student whose 27% score is confidently-but-incorrectly deemed to be of no concern by Copilot is named after Michael Scott, the largely incompetent and unprofessional boss of The Office. (Microsoft also named the other exam takers after characters from The Office).

The additional Copilot student score "analysis" touted by Microsoft in the demo is also less than impressive. It includes: 1. A vertical bar chart that fails to convey the test score distribution that a histogram would have (a rookie chart choice mistake), 2. A horizontal bar chart of student scores that only displays every other student's name and shows no score values (a rookie formatting error)... So, will teachers — like programmers — be spending a significant amount of time in the future reviewing, editing, and refining the outputs of their AI agent helpers?
"Not only does it illustrate how the realities of AI assistants sometimes fall maddeningly short of the promises," argues the original submission. "The demo also shows how AI vendors and customers alike sometimes forget to review promotional AI content closely in all the AI excitement!"

TIOBE attempts to calculate programming language popularity using the number of skilled engineers, courses, and third-party vendors.

And the eight most popular languages in September's rankings haven't changed since last month:

1. Python
2. C++
3. C
4. Java
5. C#
6. JavaScript
7. Visual Basic
8. Go

But by TIOBE's ranking, Perl is still the #10 most-popular programming in September (dropping from #9 in August). "One year ago Perl was at position 27 and now it suddenly pops up at position 10 again," marvels TIOBE CEO Paul Jansen. The technical reason why Perl is rated this high is because of its huge number of books on Amazon. It has 4 times more books listed than for instance PHP, or 7 times more books than Rust. The underlying "real" reason for Perl's increase of popularity is unknown to me. The only possibility I can think of is that Perl 5 is now gradually considered to become the real Perl... Perl 6/Raku is at position 129 of the TIOBE index, thus playing no role at all in the programming world. Perl 5 on the other hand is releasing more often recently, thus gaining attention.
An article at the i-Programmer blog thinks Perl's resurgence could be from its text processing capabilities: Even in this era of AI, everything is still governed by text formats; text is still the King. XML, JSON calling APIs, YAML, Markdown, Log files..That means that there's still need to process it, transform it, clean it, extract from it. Perl with its first-class-citizen regular expressions, the wealth of text manipulation libraries up on CPAN and its full Unicode support of all the latest standards, was and is still the best. Simply there's no other that can match Perl's text processing capabilities.
They also cite Perl's backing by the open source community, and its "getting a 'proper' OOP model in the last couple of years... People just don't know what Perl is capable of and instead prefer to be victims of FOMO ephemeral trends, chasing behind the new and shiny."

Perl creator Larry Wall answered questions from Slashdot's readers in 2016. So I'd be curious from Slashdot's readers about Perl today. (Share your experiences in the comments if you're still using Perl -- or Raku...)

Perl's drop to #9 means Delphi/Object Pascal rises up one rank, growing from 1.82% in August to 2.26% in September to claim September's #9 spot. "At number 11 and 1.86%, SQL is quite close to entering the top 10 again," notes TechRepublic. (SQL fell to #12 in June, which the site speculated was due to "the increased use of NoSQL databases for AI applications.")

But TechRepublic adds that the #1 most popular programming language (according to TIOBE) is still Python: Perl sits at 2.03% in TIOBE's proprietary ranking system in September, up from 0.64% in January. Last year, Perl held the 27th position... Python's unstoppable rise dipped slightly from 26.14% in August to 25.98% in September. Python is still well ahead of every other language on the index.

Davis Lu, a former Eaton Corporation developer, has been sentenced to four years in prison for sabotaging his ex-employer's Windows network with malware and a custom kill switch that locked out thousands of employees once his account was disabled. The attack caused significant operational disruption and financial losses, with Lu also attempting to cover his tracks by deleting data and researching privilege escalation techniques. BleepingComputer reports: After a corporate restructuring and subsequent demotion in 2018, the DOJ says that Lu retaliated by embedding malicious code throughout the company's Windows production environment. The malicious code included an infinite Java thread loop designed to overwhelm servers and crash production systems. Lu also created a kill switch named "IsDLEnabledinAD" ("Is Davis Lu enabled in Active Directory") that would automatically lock all users out of their accounts if his account was disabled in Active Directory. When his employment was terminated on September 9, 2019, and his account disabled, the kill switch activated, causing thousands of users to be locked out of their systems.

"The defendant breached his employer's trust by using his access and technical knowledge to sabotage company networks, wreaking havoc and causing hundreds of thousands of dollars in losses for a U.S. company," said Acting Assistant Attorney General Matthew R. Galeotti. When he was instructed to return his laptop, Lu reportedly deleted encrypted data from his device. Investigators later discovered search queries on the device researching how to elevate privileges, hide processes, and quickly delete files. Lu was found guilty earlier this year of intentionally causing damage to protected computers. After his four-year sentence, Lu will also serve three years of supervised release following his prison term.

Last month, Python "reached the highest ranking a programming language ever had in the TIOBE index," according to TIOBE CEO Paul Jansen.

"We thought Python couldn't grow any further, but AI code assistants let Python take yet another step forward." According to recent studies of Stanford University (Yegor Denisov-Blanch), AI code assistants such as Microsoft Copilot, Cursor or Google Gemini Code Assist are 20% more effective if used for popular programming languages. The reason for this is obvious: there is more code for these languages available to train the underlying models. This trend is visible in the TIOBE index as well, where we see a consolidation of languages at the top. Why would you start to learn a new obscure language for which no AI assistance is available? This is the modern way of saying that you don't want to learn a new language that is hardly documented and/or has too few libraries that can help you.
TIOBE's "Programming Community Index" attempts to calculate the popularity of languages using the number of skilled engineers, courses, and third-party vendors. It nows gives Python a 26.14% rating, which TechRepublic notes "is well ahead of the next two programming languages on this month's leaderboard: C++ is at 9.18% and C is 9.03%." But the first top six languages haven't changed since last year...

1. Python
2. C++
3. C
4. Java
5. C#
6. JavaScript

Since August of 2024 SQL has dropped from its #7 rank down to #12 (meaning Visual Basic and Go each rise up one rank from their position a year ago, into the #7 and #8 positions).

In the last year Perl has risen from the #25 position to #9, beating out Delphi/Oracle Pascal at #10, and Fortran at #11 (last year's #10). TIOBE CEO Jansen "told TechRepublic in an email that many people were asking why Perl was becoming more popular, but he didn't have a definitive answer. He said he double-checked the underlying data and found the increase to be accurate, though the reason for the shift remains unclear."

America's nonprofit College Board lets high school students take college-level classes — including a computer programming course that culminates with a 90-minute test. But students did better on questions about If-Then statements than they did on questions about arrays, according to the head of the program. Long-time Slashdot reader theodp explains: Students exhibited "strong performance on primitive types, Boolean expressions, and If statements; 44% of students earned 7-8 of these 8 points," says program head Trevor Packard. But students were challenged by "questions on Arrays, ArrayLists, and 2D Arrays; 17% of students earned 11-12 of these 12 points."

"The most challenging AP Computer Science A free-response question was #4, the 2D array number puzzle; 19% of students earned 8-9 of the 9 points possible."
You can see that question here. ("You will write the constructor and one method of the SumOrSameGame class... Array elements are initialized with random integers between 1 and 9, inclusive, each with an equal chance of being assigned to each element of puzzle...") Although to be fair, it was the last question on the test — appearing on page 16 — so maybe some students just didn't get to it.

theodp shares a sample Java solution and one in Excel VBA solution (which includes a visual presentation).

There's tests in 38 subjects — but CS and Statistics are the subjects where the highest number of students earned the test's lowest-possible score (1 out of 5). That end of the graph also includes notoriously difficult subjects like Latin, Japanese Language, and Physics.

There's also a table showing scores for the last 23 years, with fewer than 67% of students achieving a passing grade (3+) for the first 11 years. But in 2013 and 2017, more than 67% of students achieved that passsing grade, and the percentage has stayed above that line ever since (except for 2021), vascillating between 67% and 70.4%.

2018: 67.8%
2019: 69.6%
2020: 70.4%
2021: 65.1%
2022: 67.6%
2023: 68.0%
2024: 67.2%
2025: 67.0%

The computer science major needs a rebrand, Google's head of Android Sameer Samat said, arguing that the discipline is widely misunderstood as simply learning to code. "It is thought of as, 'go learn how to do Java coding,'" Samat said of the major, adding that if that's what students want to do, "you don't need a degree."

Samat, who studied computer science at UC San Diego, views the field differently: "It's definitely not learning to code. It is the science, in my opinion, of solving problems." The major should focus on breaking down problems, learning system design, and collaboration rather than just coding skills, Samat said.

A survey of 500 IT asset managers in organizations that use Oracle Java has found that 73% have been audited in the last three years. From a report: At the same time, nearly eight out of 10 Oracle Java users said they had migrated, or planned to shift, to open source Java to try to avoid the risk and high costs of the dominant vendor's development and runtime environments.

Oracle introduced a paid subscription for Java in September 2018, and in January 2023, it decided to switch its pricing model to per employee rather than per user, creating a steep price hike for many users. In July 2023, Gartner recorded users experiencing price increases of between two and five times when they switched to the new licensing model.

Two years later, the survey conducted by market research firm Dimensional Research showed only 14% of Oracle Java users intended to stick with the vendor's subscription model.

An anonymous reader shared this report from InfoWorld: Tiobe CEO Paul Jansen says Ada, a system programming language whose initial development dates back to the late 1970s, could outlast similarly aged languages like Visual Basic, Perl, and Fortran in the language popularity race.

In comments on this month's Tiobe language popularity index, posted July 9, Jansen said the index has not seen much change among leading languages such as Python, C#, and Java over the past two years. But there is more movement among older languages such as Visual Basic, SQL, Fortran, Ada, Perl, and Delphi, said Jansen. Every time one of these languages is expected to stay in the top 10, it is replaced by another language, he said. Even more remarkably, newer languages have yet to rise above them. "Where are Rust, Kotlin, Dart, and Julia? Apparently, established languages are hot."
"Which one will win? Honestly, this is very hard to tell," Jansen writes, "but I would put my bets on Ada. With the ever-stronger demands on security, Ada is, as a system programming language in the safety-critical domain, likely the best survivor."

Perhaps proving his point, one year ago, Ada was ranked #24 — but on this month's index it ranks #9. (Whereas the eight languages above it all remain in the exact same positions they held a year ago...)

1. Python
2. C++
3. C
4. Java
5. C#
6. JavaScript
7. Go
8. Visual Basic
9. Ada
10. Delphi/Object Pascal

Apple's Swift programming language is expanding official support to Android through a new "Android Working Group" which will improve compatibility, integration, and tooling. "As it stands today, Android apps are generally coded in Kotlin, but Apple is looking to provide its Swift coding language as an alternative," notes 9to5Google. "Apple first launched its coding language back in 2014 with its own platforms in mind, but currently also supports Windows and Linux officially." From the report: A few of the key pillars the Working Group will look to accomplish include:

- Improve and maintain Android support for the official Swift distribution, eliminating the need for out-of-tree or downstream patches
- Recommend enhancements to core Swift packages such as Foundation and Dispatch to work better with Android idioms
- Work with the Platform Steering Group to officially define platform support levels generally, and then work towards achieving official support of a particular level for Android
- Determine the range of supported Android API levels and architectures for Swift integration
- Develop continuous integration for the Swift project that includes Android testing in pull request checks.
- Identify and recommend best practices for bridging between Swift and Android's Java SDK and packaging Swift libraries with Android apps
- Develop support for debugging Swift applications on Android
- Advise and assist with adding support for Android to various community Swift packages

The developer-focused analyst firm RedMonk releases twice-a-year rankings of programming language popularity. This week they also released a handy graph showing the movement of top 20 languages since 2012. Their current rankings for programming language popularity...

1. JavaScript
2. Python
3. Java
4. PHP
5. C#
6. TypeScript
7. CSS
8. C++
9. Ruby
10. C

The chart shows that over the years the rankings really haven't changed much (other than a surge for TypeScript and Python, plus a drop for Ruby). JavaScript has consistently been #1 (except in two early rankings, where it came in behind Java). And in 2020 Java finally slipped from #2 down to #3, falling behind... Python. Python had already overtaken PHP for the #3 spot in 2017, pushing PHP to a steady #4. C# has maintained the #5 spot since 2014 (though with close competition from both C++ and CSS). And since 2021 the next four spots have been held by Ruby, C, Swift, and R.

The only change in the current top 20 since the last ranking "is Dart dropping from a tie with Rust at 19 into sole possession of 20," writes RedMonk co-founder Stephen O'Grady. "In the decade and a half that we have been ranking these languages, this is by far the least movement within the top 20 that we have seen. While this is to some degree attributable to a general stasis that has settled over the rankings in recent years, the extraordinary lack of movement is likely also in part a manifestation of Stack Overflow's decline in query volume..." The arrival of AI has had a significant and accelerating impact on Stack Overflow, which comprises one half of the data used to both plot and rank languages twice a year... Stack Overflow's value from an observational standpoint is not what it once was, and that has a tangible impact, as we'll see....

As that long time developer site sees fewer questions, it becomes less impactful in terms of driving volatility on its half of the rankings axis, and potentially less suggestive of trends moving forward... [W]e're not yet at a point where Stack Overflow's role in our rankings has been deprecated, but the conversations at least are happening behind the scenes.
"The veracity of the Stack Overflow data is increasingly questionable," writes RedMonk's research director: When we use Stack Overflow for programming language rankings we measure how many questions are asked using specific programming language tags... While other pieces, like Matt Asay's AI didn't kill Stack Overflow are right to point out that the decline existed before the advent of AI coding assistants, it is clear that the usage dramatically decreased post 2023 when ChatGPT became widely available. The number of questions asked are now about 10% what they were at Stack Overflow's peak.
"RedMonk is continuing to evaluate the quality of this analysis," the research director concludes, arguing "there is value in long-lived data, and seeing trends move over a decade is interesting and worthwhile. On the other hand, at this point half of the data feeding the programming language rankings is increasingly stale and of questionable value on a going-forward basis, and there is as of now no replacement public data set available.

"We'll continue to watch and advise you all on what we see with Stack Overflow's data."

Meta and AWS have used Rust, and Netflix uses Go,reports the programming news site InfoQ. But using another language, Apple recently "migrated its global Password Monitoring service from Java to Swift, achieving a 40% increase in throughput, and significantly reducing memory usage."

This freed up nearly 50% of their previously allocated Kubernetes capacity, according to the article, and even "improved startup time, and simplified concurrency." In a recent post, Apple engineers detailed how the rewrite helped the service scale to billions of requests per day while improving responsiveness and maintainability... "Swift allowed us to write smaller, less verbose, and more expressive codebases (close to 85% reduction in lines of code) that are highly readable while prioritizing safety and efficiency."

Apple's Password Monitoring service, part of the broader Password app's ecosystem, is responsible for securely checking whether a user's saved credentials have appeared in known data breaches, without revealing any private information to Apple. It handles billions of requests daily, performing cryptographic comparisons using privacy-preserving protocols. This workload demands high computational throughput, tight latency bounds, and elastic scaling across regions... Apple's previous Java implementation struggled to meet the service's growing performance and scalability needs. Garbage collection caused unpredictable pause times under load, degrading latency consistency. Startup overhead — from JVM initialization, class loading, and just-in-time compilation, slowed the system's ability to scale in real time. Additionally, the service's memory footprint, often reaching tens of gigabytes per instance, reduced infrastructure efficiency and raised operational costs.

Originally developed as a client-side language for Apple platforms, Swift has since expanded into server-side use cases.... Swift's deterministic memory management, based on reference counting rather than garbage collection (GC), eliminated latency spikes caused by GC pauses. This consistency proved critical for a low-latency system at scale. After tuning, Apple reported sub-millisecond 99.9th percentile latencies and a dramatic drop in memory usage: Swift instances consumed hundreds of megabytes, compared to tens of gigabytes with Java.
"While this isn't a sign that Java and similar languages are in decline," concludes InfoQ's article, "there is growing evidence that at the uppermost end of performance requirements, some are finding that general-purpose runtimes no longer suffice."

An anonymous reader quotes a report from The Register: UK universities and colleges have signed a framework worth up to 9.86 million pounds ($13.33 million) with Oracle to use its controversial Java SE Universal Subscription model, in exchange for a "waiver of historic fees due for any institutions who have used Oracle Java since 2023." Jisc, a membership organization that runs procurement for higher and further education establishments in the UK, said it had signed an agreement to purchase the new subscription licenses after consultation with members. In a procurement notice, it said institutions that use Oracle Java SE are required to purchase subscriptions. "The agreement includes the waiver of historic fees due for any institutions who have used Oracle Java since 2023," the notice said.

The Java SE Universal Subscription was introduced in January 2023 to an outcry from licensing experts and analysts. It moved licensing of Java from a per-user basis to a per-employee basis. At the time, Oracle said it was "a simple, low-cost monthly subscription that includes Java SE Licensing and Support for use on Desktops, Servers or Cloud deployments." However, licensing advisors said early calculations to help some clients showed that the revamp might increase costs by up to ten times. Later, analysis from Gartner found the per-employee subscription model to be two to five times more expensive than the legacy model.

"For large organizations, we expect the increase to be two to five times, depending on the number of employees an organization has," Nitish Tyagi, principal Gartner analyst, said in July 2024. "Please remember, Oracle defines employees as part-time, full-time, temporary, agents, contractors, as in whosoever supports internal business operations has to be licensed as per the new Java Universal SE Subscription model." Since the introduction of the new Oracle Java licensing model, user organizations have been strongly advised to move off Oracle Java and find open source alternatives for their software development and runtime environments. A survey of Oracle users found that only one in ten was likely to continue to stay with Oracle Java, in part as a result of the licensing changes.

Longtime Slashdot reader theodp writes: The old Code.org curriculum page for middle and high school students has been changed to include a new Python Lab in the tech-backed nonprofit's K-12 offerings. Elsewhere on the site, a Computer Science and AI Foundations curriculum is described that includes units on 'Foundations of AI Programming [in Python]' and 'Insights from Data and AI [aka Data Science].' A more-detailed AI Foundations Syllabus 25-26 document promises a second semester of material is coming soon: "This semester offers an innovative approach to teaching programming by integrating learning with and about artificial intelligence (AI). Using Python as the primary language, students build foundational programming skills while leveraging AI tools to enhance computational thinking and problem-solving. The curriculum also introduces students to the basics of creating AI-powered programs, exploring machine learning, and applying data science principles."

Newly-posted videos on Code.org's YouTube channel appear to be intended to support the new Python-based CS & AI course. "Python is extremely versatile," explains a Walmart data scientist to open the video for Data Science: Using Python. "So, first of all, Python is one of the very few languages that can handle numbers very, very well." A researcher at the Univ. of Washington's Institute for Health Metrics and Evaluation (IHME) adds, "Python is the gold standard and what people expect data scientists to know [...] Key to us being able to handle really big data sets is our use of Python and cluster computing." Adding to the Python love, an IHME data analyst explains, "Python is a great choice for large databases because there's a lot of support for Python libraries."

Code.org is currently recruiting teachers to attend its CS and AI Foundations Professional Learning program this summer, which is being taught by Code.org's national network of university and nonprofit regional partners (teachers who signup have a chance to win $250 in DonorsChoose credits for their classrooms). A flyer for a five-day Michigan Professional Development program to prepare teachers for a pilot of the Code.org CS & A course touts the new curriculum as "an alternative to the AP [Computer Science] pathway" (teachers are offered scholarships covering registration, lodging, meals, and workshop materials).

Interestingly, Code.org's embrace of Python and Data Science comes as the nonprofit changes its mission to 'make CS and AI a core part of K-12 education' and launches a new national campaign with tech leaders to make CS and AI a graduation requirement. Prior to AI changing the education conversation, Code.org in 2021 boasted that it had lined up a consortium of tech giants, politicians, and educators to push its new $15 million Amazon-bankrolled Java AP CS A curriculum into K-12 classrooms. Just three years later, however, Amazon CEO Andy Jassy was boasting to investors that Amazon had turned to AI to automatically do Java coding that he claimed would have otherwise taken human coders 4,500 developer-years to complete.