"Rust's rise shows signs of slowing," argues the CEO of TIOBE.

Back in 2020 Rust first entered the top 20 of his "TIOBE Index," which ranks programming language popularity using search engine results. Rust "was widely expected to break into the top 10," he remembers today. But it never happened, and "That was nearly six years ago...." Since then, Rust has steadily improved its ranking, even reaching its highest position ever (#13) at the beginning of this year. However, just three months later, it has dropped back to position #16. This suggests that Rust's adoption rate may be plateauing.

One possible explanation is that, despite its ability to produce highly efficient and safe code, Rust remains difficult to learn for non-expert programmers. While specialists in performance-critical domains are willing to invest in mastering the language, broader mainstream adoption appears more challenging. As a result, Rust's growth in popularity seems to be leveling off, and a top 10 position now appears more distant than before.
Or, could Rust's sudden drop in the rankings just reflect flaws in TIOBE's ranking system? In January GitHub's senior director for developer advocacy argued AI was pushing developers toward typed languages, since types "catch the exact class of surprises that AI-generated code can sometimes introduce... A 2025 academic study found that a whopping 94% of LLM-generated compilation errors were type-check failures." And last month Forbes even described Rust as "the the safety harness for vibe coding.."

A year ago Rust was ranked #18 on TIOBE's index — so it still rose by two positions over the last 12 months, hitting that all-time high in January. Could the rankings just be fluctuating due to anomalous variations in each month's search engine results? Since January Java has fallen to the #4 spot, overtaken by C++ (which moved up one rank to take Java's place in the #3 position).

Here's TIOBE's current estimate for the 10 most popularity programming languages:

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

TIOBE estimates that tthe next five most popular programming languages are Scratch, Perl, Fortran, PHP, and Go.

The Internet Bug Bounty program "has been paused for new submissions," they announced last week.

Running since 2012, the program is funded by "a number of leading software companies," reports InfoWorld, "and has awarded more than $1.5m to researchers who have reported bugs " Up to now, 80% of its payouts have been for discoveries of new flaws, and 20% to support remediation efforts. But as artificial intelligence makes it easier to find bugs, that balance needs to change, HackerOne said in a statement. "AI-assisted research is expanding vulnerability discovery across the ecosystem, increasing both coverage and speed. The balance between findings and remediation capacity in open source has substantively shifted," said HackerOne.

Among the first programs to be affected is the Node.js project, a server-side JavaScript platform for web applications known for its extensive ecosystem. While the project team will continue to accept and triage bug reports through HackerOne, without funding from the Internet Bug Bounty program it will no longer pay out rewards, according to an announcement on its website...

[J]ust last month, Google also put a halt to AI-generated submissions provided to its Open Source Software Vulnerability Reward Program.
The Internet Bug Bounty stressed that "We have a responsibility to the community to ensure this program effectively accomplishes its ambitious dual purpose: discovery and remediation. Accordingly, we are pausing submissions while we consider the structure and incentives needed to further these goals..."

"We remain committed to strengthening open source security. Working with project maintainers and researchers, we're actively evaluating solutions to better align incentives with open source ecosystem realities and ensure vulnerability discoveries translate into durable remediation outcomes."

That leak of Claude Code's source code "revealed all kinds of juicy details," writes PC World.

The more than 500,000 lines of code included:

- An 'undercover mode' for Claude that allows it to make 'stealth' contributions to public code bases
- An 'always-on' agent for Claude Code
- A Tamagotchi-style 'Buddy' for Claude

"But one of the stranger bits discovered in the leak is that Claude Code is actively watching our chat messages for words and phrases — including f-bombs and other curses — that serve as signs of user frustration." Specifically, Claude Code includes a file called "userPromptKeywords.ts" with a simple pattern-matching tool called regex, which sweeps each and every message submitted to Claude for certain text matches. In this particular case, the regex pattern is watching for "wtf," "wth," "omfg," "dumbass," "horrible," "awful," "piece of — -" (insert your favorite four-letter word for that one), "f — you," "screw this," "this sucks," and several other colorful metaphors... While the Claude Code leak revealed the existence of the "frustration words" regex, it doesn't give any indication of why Claude Code is scouring messages for these words or what it's doing with them.

Longtime Slashdot reader fahrbot-bot writes: CU Boulder researchers are reporting that they have discovered an appetite-suppressing compound in python blood that helps the snakes consume enormous meals and go months without eating yet remain metabolically healthy. The findings were published in the journal Natural Metabolism on March 19, 2026.

Pythons can grow as big as a telephone pole, swallow an antelope whole, and go months or even years without eating -- all while maintaining a healthy heart and plenty of muscle mass. In the hours after they eat, research has shown, their heart expands 25% and their metabolism speeds up 4,000-fold to help them digest their meal. The team measured blood samples from ball pythons and Burmese pythons, fed once every 28 days, immediately after they ate a meal. In all, they found 208 metabolites that increased significantly after the pythons ate. One molecule, called para-tyramine-O-sulfate (pTOS) soared 1,000-fold.

Further studies, done with Baylor University researchers, showed that when they gave high doses of pTOS to obese or lean mice, it acted on the hypothalamus, the appetite center of the brain, prompting weight loss without causing gastrointestinal problems, muscle loss or declines in energy. The study found that pTOS, which is produced by the snake's gut bacteria, is not present in mice naturally. It is present in human urine at low levels and does increase somewhat after a meal. But because most research is done in mice or rats, pTOS has been overlooked. "We've basically discovered an appetite suppressant that works in mice without some of the side-effects that GLP-1 drugs have," said senior author Leslie Leinwand, a distinguished professor of Molecular, Cellular and Developmental Biology who has been studying pythons in her lab for two decades. Drugs like Ozempic and Wegovy act on the hormone glucagon-like petide-1 (GLP-1).

Anthropic is using copyright takedown notices to try to contain an accidental leak of the underlying instructions for its Claude Code AI agent. According to the Wall Street Journal, "Anthropic representatives had used a copyright takedown request to force the removal of more than 8,000 copies and adaptations of the raw Claude Code instructions ... that developers had shared on programming platform GitHub." From the report: Programmers combing through the source code so far have marveled on social media at some of Anthropic's tricks for getting its Claude AI models to operate as Claude Code. One feature asks the models to go back periodically through tasks and consolidate their memories -- a process it calls dreaming. Another appears to instruct Claude Code in some cases to go "undercover" and not reveal that it is an AI when publishing code to platforms like GitHub. Others found tags in the code that appeared pointed at future product releases. The code even included a Tamagotchi-style pet called "Buddy" that users could interact with.

After Anthropic requested that GitHub remove copies of its proprietary code, another programmer used other AI tools to rewrite the Claude Code functionality in other programming languages. Writing on GitHub, the programmer said the effort was aimed at keeping the information available without risking a takedown. That new version has itself become popular on the programming platform.

bobthesungeek76036 shares a report from the Register: Oracle laid off thousands of employees on Tuesday as it ramps spending on AI infrastructure projects internally and with major technology partners. The layoffs were carried out via email, according to copies of the message viewed by Business Insider. The email told affected workers they would be terminated immediately and to provide a personal email for follow-up.

The cuts echo a TD Cowen forecast earlier this year, when the investment bank questioned how Oracle would finance its expanding AI datacenter buildout and suggested headcount reductions could reach 20,000 to 30,000. It is not clear how many employees were notified on Tuesday, but one screenshot that purports to show the number of internal Slack users showed a drop of 10,000 overnight.

[...] Oracle employs about 162,000 people, with 58,000 of those in the US and approximately 104,000 internationally. If the rumored cuts of 30,000 are correct, it would amount to 18 percent of the company's workforce. According to posts from Oracle workers on LinkedIn, the cuts were spread through multiple departments around the country, with employees in Kansas, Tennessee, and Texas taking to social media to say they were among those chopped. "This news didn't seem to affect stock price," adds bobthesungeek76036. "ORCL is up 6% for the day."

Grady Martin writes: A security researcher has leaked a complete repository of source code for Anthropic's flagship command-line tool. The file listing was exposed via a Node Package Manager (npm) mapping, with every target publicly accessible on a Cloudflare R2 storage bucket. There's been a number of discoveries as people continue to pore over the code. The DEV Community outlines some of the leak's most notable architectural elements and the key technical choices:

Architecture Highlights
The Tool System (~40 tools): Claude Code uses a plugin-like tool architecture. Each capability (file read, bash execution, web fetch, LSP integration) is a discrete, permission-gated tool. The base tool definition alone is 29,000 lines of TypeScript.
The Query Engine (46K lines): This is the brain of the operation. It handles all LLM API calls, streaming, caching, and orchestration. It's by far the largest single module in the codebase.
Multi-Agent Orchestration: Claude Code can spawn sub-agents (they call them "swarms") to handle complex, parallelizable tasks. Each agent runs in its own context with specific tool permissions.
IDE Bridge System: A bidirectional communication layer connects IDE extensions (VS Code, JetBrains) to the CLI via JWT-authenticated channels. This is how the "Claude in your editor" experience works.
Persistent Memory System: A file-based memory directory where Claude stores context about you, your project, and your preferences across sessions.

Key Technical Decisions Worth Noting
Bun over Node: They chose Bun as the JavaScript runtime, leveraging its dead code elimination for feature flags and its faster startup times.
React for CLI: Using Ink (React for terminals) is bold. It means their terminal UI is component-based with state management, just like a web app.
Zod v4 for validation: Schema validation is everywhere. Every tool input, every API response, every config file.
~50 slash commands: From /commit to /review-pr to memory management -- there's a command system as rich as any IDE.
Lazy-loaded modules: Heavy dependencies like OpenTelemetry and gRPC are lazy-loaded to keep startup fast.

An anonymous reader quotes a report from New Scientist: Andrea Marinoni at the University of Cambridge, UK, and his colleagues saw that the amount of energy needed to run a data centre had been steadily increasing of late and was likely to "explode" in the coming years, so wanted to quantify the impact. The researchers took satellite measurements of land surface temperatures over the past 20 years and cross-referenced them against the geographical coordinates of more than 8400 AI data centers. Recognizing that surface temperature could be affected by other factors, the researchers chose to focus their investigation on data centers located away from densely populated areas.

They discovered that land surface temperatures increased by an average of 2C (3.6F) in the months after an AI data center started operations. In the most extreme cases, the increase in temperature was 9.1C (16.4F). The effect wasn't limited to the immediate surroundings of the data centers: the team found increased temperatures up to 10 kilometers away. Seven kilometers away, there was only a 30 percent reduction in the intensity. "The results we had were quite surprising," says Marinoni. "This could become a huge problem."

Using population data, the researchers estimate that more than 340 million people live within 10 kilometers of data centers, so live in a place that is warmer than it would be if the data centre hadn't been built there. Marinoni says that areas including the Bajio region in Mexico and the Aragon province in Spain saw a 2C (3.6F) temperature increase in the 20 years between 2004 and 2024 that couldn't otherwise be explained. University of Bristol researcher Chris Preist said the findings may be more complicated than they look. "It would be worth doing follow-up research to understand to what extent it's the heat generated from computation versus the heat generated from the building itself," he says. For example, the building being heated by sunlight may be part of the effect.

The findings of the study, which has not yet been peer-reviewed, can be found on arXiv.

"It's time to charge for access," argues a new opinion piece at The Register. Begging billion-dollar companies to fund open source projects just isn't enough, writes long-time tech reporter Steven J. Vaughan-Nichols: Screw fair. Screw asking for dimes. You can't live off one-off charity donations... Depending on what people put in a tip jar is no way to fund anything of value... [A]ccording to a 2024 Tidelift maintainer report, 60 percent of open source maintainers are unpaid, and 60 percent have quit or considered quitting, largely due to burnout and lack of compensation. Oh, and of those getting paid, only 26 percent earn more than $1,000 a year for their work. They'd be better paid asking "Would you like fries with that?" at your local McDonald's...

Some organizations do support maintainers, for example, there's HeroDevs and its $20 million Open Source Sustainability Fund. Its mission is to pay maintainers of critical, often end-of-life open source components so they can keep shipping patches without burning out. Sentry's Open Source Pledge/Fund has given hundreds of thousands of dollars per year directly to maintainers of the packages Sentry depends on. Sentry is one of the few vendors that systematically maps its dependency tree and then actually cuts checks to the people maintaining that stack, as opposed to just talking about "giving back."

Sentry is on to something. We have the Linux Foundation to manage commercial open source projects, the Apache Foundation to oversee its various open source programs, the Open Source Initiative (OSI) to coordinate open source licenses, and many more for various specific projects. It's time we had an organization with the mission of ensuring that the top programmers and maintainers of valuable open source projects get a cut of the tech billionaire pie.

We must realign how businesses work with open source so that payment is no longer an optional charitable gift but a cost of doing business. To do that, we need an organization to create a viable, supportable path from big business to individual programmer. It's time for someone to step up and make this happen. Businesses, open source software, and maintainers will all be better off for it.
One possible future... Bruce Perens wrote the original Open Source definition in 1997, and now proposes a not-for-profit corporation developing "the Post Open Collection" of software, distributing its licensing fees to developers while providing services like user support, documentation, hardware-based authentication for developers, and even help with government compliance and lobbying.

"Emergency out-of-band fixes issued by enterprise IT giants Microsoft and Oracle have shone a spotlight on issues around both update cycles and patching," reports Computer Weekly: Microsoft's emergency update, KB5085516, addresses an issue that arose after installing the mandatory cumulative updates pushed live on Patch Tuesday earlier this month. According to Microsoft, it has since emerged that many users experienced problems signing into applications with a Microsoft account, seeing a "no internet" error message even though the device had a working connection. This had the effect of preventing access to multiple services and applications. It should be noted that organisations using Entra ID did not experience the issue.

But Microsoft's emergency patch comes just days after it doubled down on a commitment to software quality, reliability and stability. In a blog post published just 24 hours prior to the latest update, Pavan Davuluri of Microsoft's Windows Insider Program Team said updates should be "predictable and easy to plan around".
Michael Bell, founder/CEO of Suzu Labs tells Computer Weekly that Microsoft's patch for the sign-in bug follows "separate hotpatches for RRAS remote code execution flaws and a Bluetooth visibility bug. Three emergency fixes in eight days does not shout reliability era." Oracle's patch, meanwhile, addresses CVE-2026-21992, a remote code execution flaw in the REST:WebServices component of Oracle Identity Manager and the Web Services Security component of Oracle Web Services Manager in Oracle Fusion Middleware. It carries a CVSS score of 9.8 and can be exploited by an unauthenticated attacker with network access over HTTP.

BrianFagioli writes: Canonical has joined the Rust Foundation as a Gold Member, signaling a deeper investment in the Rust programming language and its role in modern infrastructure. The company already maintains an up-to-date Rust toolchain for Ubuntu and has begun integrating Rust into parts of its stack, citing memory safety and reliability as key drivers. By joining at a higher tier, Canonical is not just adopting Rust but also stepping closer to its governance and long-term direction.

The move also highlights ongoing tensions in Rust's ecosystem. While Rust can reduce entire classes of bugs, it often depends heavily on external crates, which can introduce complexity and auditing challenges, especially in enterprise environments. Canonical appears aware of that tradeoff and is positioning itself to influence how the ecosystem evolves, as Rust continues to gain traction across Linux and beyond. "As the publisher of Ubuntu, we understand the critical role systems software plays in modern infrastructure, and we see Rust as one of the most important tools for building it securely and reliably. Joining the Rust Foundation at the Gold level allows us to engage more directly in language and ecosystem governance, while continuing to improve the developer experience for Rust on Ubuntu," said Jon Seager, VP Engineering at Canonical. "Of particular interest to Canonical is the security story behind the Rust package registry, crates.io, and minimizing the number of potentially unknown dependencies required to implement core concerns such as async support, HTTP handling, and cryptography -- especially in regulated environments."

Will there be an AI-optimized programming language at the expense of human readability? There's now been experiments with minimizing tokens for "LLM efficiency, without any concern for how it would serve human developers."

This new article asks if AI will force source code to evolve — or make it extinct, noting that Stephen Cass, the special projects editor at IEEE Spectrum, has even been asking the ultimate question about our future. "Could we get our AIs to go straight from prompt to an intermediate language that could be fed into the interpreter or compiler of our choice? Do we need high-level languages at all in that future?" Cass acknowledged the obvious downsides. ("True, this would turn programs into inscrutable black boxes, but they could still be divided into modular testable units for sanity and quality checks.") But "instead of trying to read or maintain source code, programmers would just tweak their prompts and generate software afresh." This leads to some mind-boggling hypotheticals, like "What's the role of the programmer in a future without source code?" Cass asked the question and announced "an emergency interactive session" in October to discuss whether AI is signaling the end of distinct programming languages as we know them.

In that webinar, Cass said he believes programmers in this future would still suggest interfaces, select algorithms, and make other architecture design choices. And obviously the resulting code would need to pass tests, Cass said, and "has to be able to explain what it's doing." But what kind of abstractions could go away? And then "What happens when we really let AIs off the hook on this?" Cass asked — when we "stop bothering" to have them code in high-level languages. (Since, after all, high-level languages "are a tool for human beings.") "What if we let the machines go directly into creating intermediate code?" (Cass thinks the machine-language level would be too far down the stack, "because you do want a compile layer too for different architecture....")

In this future, the question might become 'What if you make fewer mistakes, but they're different mistakes?'" Cass said he's keeping an eye out for research papers on designing languages for AI, although he agreed that it's not a "tomorrow" thing — since, after all, we're still digesting "vibe coding" right now. But "I can see this becoming an area of active research."
The article also quotes Andrea Griffiths, a senior developer advocate at GitHub and a writer for the newsletter Main Branch, who's seen the attempts at an "AI-first" languages, but nothing yet with meaningful adoption. So maybe AI coding agents will just make it easier to use our existing languages — especially typed languages with built-in safety advantages.

And Scott Hanselman's podcast recently dubbed Chris Lattner's Mojo "a programming language for an AI world," just in the way it's designed to harness the computing power of today's multi-core chips.

An anonymous reader shared this report from the tech-news blog Neowin: Apple appears to have temporarily prevented apps, including Replit and Vibecode, from pushing new updates. Apple seems bothered by how apps like Replit present vibe-coded apps in a web view within the original app. This process virtually allows the app to become something else. And the new app isn't distributed via the App Store, but it still runs on the user's device... [S]uch apps would also bypass the App Store Review process that ensures that apps are safe to use and meet Apple's design and performance standards...

According to the publication (via MacRumors), Apple was close to approving pending updates for such apps if they changed how they work. For instance, Replit would get the green light if its developers configure the app to open vibe-coded apps in an external browser rather than the in-app web view.

Vibecode is also close to being approved if it removes features, such as the ability to develop apps specifically for the App Store.

An anonymous reader quotes a report from Ars Technica: Google is planning big changes for Android in 2026 aimed at combating malware across the entire device ecosystem. Starting in September, Google will begin restricting application sideloading with its developer verification program, but not everyone is on board. Android Ecosystem President Sameer Samat tells Ars that the company has been listening to feedback, and the result is the newly unveiled advanced flow, which will allow power users to skip app verification. With its new limits on sideloading, Android phones will only install apps that come from verified developers. To verify, devs releasing apps outside of Google Play will have to provide identification, upload a copy of their signing keys, and pay a $25 fee. It all seems rather onerous for people who just want to make apps without Google's intervention.

Apps that come from unverified developers won't be installable on Android phones -- unless you use the new advanced flow, which will be buried in the developer settings. When sideloading apps today, Android phones alert the user to the "unknown sources" toggle in the settings, and there's a flow to help you turn it on. The verification bypass is different and will not be revealed to users. You have to know where this is and proactively turn it on yourself, and it's not a quick process. [...] The actual legwork to activate this feature only takes a few seconds, but the 24-hour countdown makes it something you cannot do spur of the moment.

But why 24 hours? According to Samat, this is designed to combat the rising use of high-pressure social engineering attacks, in which the scammer convinces the victim they have to install an app immediately to avoid severe consequences. "In that 24-hour period, we think it becomes much harder for attackers to persist their attack," said Samat. "In that time, you can probably find out that your loved one isn't really being held in jail or that your bank account isn't really under attack." But for people who are sure they don't want Google's verification system to get in the way of sideloading any old APK they come across, they don't have to wait until they encounter an unverified app to get started. You only have to select the "indefinitely" option once on a phone, and you can turn dev options off again afterward. "For a lot of people in the world, their phone is their only computer, and it stores some of their most private information," Samat said. "Over the years, we've evolved the platform to keep it open while also keeping it safe. And I want to emphasize, if the platform isn't safe, people aren't going to use it, and that's a lose-lose situation for everyone, including developers."

OpenAI announced it's acquiring developer tooling startup Astral to strengthen its Codex AI coding assistant, which has over 2 million weekly users and has seen a three-fold increase in user growth since the start of the year. CNBC reports: "Through it all, though, our goal remains the same: to make programming more productive. To build tools that radically change what it feels like to build software," Astral's founder and CEO Charlie Marsh wrote in a blog post. The company's acquisition of Astral is still subject to customary closing conditions, including regulatory approval.