An anonymous reader shares a report: Amazon Web Services said in a post earlier this month that developers report spending an average of "just one hour per day" on actual coding. But that doesn't mean these workers twiddle their thumbs the remaining seven hours per day. Instead, developers spend the majority of their time on "tedious, undifferentiated tasks such as learning codebases, writing and reviewing documentation, testing, managing deployments, troubleshooting issues or finding and fixing vulnerabilities," according to Amazon Web Services.

Google has announced an experimental AI-powered code agent called "Jules" that can automatically fix coding errors for developers. From a report: Jules was introduced today alongside Gemini 2.0, and uses the updated Google AI model to create multi-step plans to address issues, modify multiple files, and prepare pull requests for Python and Javascript coding tasks in GitHub workflows.

Microsoft introduced a similar experience for GitHub Copilot last year that can recognize and explain code, alongside recommending changes and fixing bugs. Jules will compete against Microsoft's offering, and also against tools like Cursor and even Claude and ChatGPT's coding abilities. Google's launch of a coding-focused AI assistant is no surprise -- CEO Sundar Pichai said in October that more than a quarter of all new code at the company is now generated by AI.

"Jules handles bug fixes and other time-consuming tasks while you focus on what you actually want to build," Google says in its blog post. "This effort is part of our long-term goal of building AI agents that are helpful in all domains, including coding."

An anonymous reader shares a report: Software vulnerability submissions generated by AI models have ushered in a "new era of slop security reports for open source" -- and the devs maintaining these projects wish bug hunters would rely less on results produced by machine learning assistants. Seth Larson, security developer-in-residence at the Python Software Foundation, raised the issue in a blog post last week, urging those reporting bugs not to use AI systems for bug hunting.

"Recently I've noticed an uptick in extremely low-quality, spammy, and LLM-hallucinated security reports to open source projects," he wrote, pointing to similar findings from the Curl project in January. "These reports appear at first glance to be potentially legitimate and thus require time to refute." Larson argued that low-quality reports should be treated as if they're malicious.

As if to underscore the persistence of these concerns, a Curl project bug report posted on December 8 shows that nearly a year after maintainer Daniel Stenberg raised the issue, he's still confronted by "AI slop" -- and wasting his time arguing with a bug submitter who may be partially or entirely automated.

"Generative AI is transforming software development by enabling natural language prompts to generate code, reducing the need for traditional programming skills," argues Analytics India magazine. Traditionally, coding was the bastion of the select few who had mastered mighty languages like C++, Python, or Java. The idea of programming seemed exclusively reserved for those fluent in syntax and logic. However, the narrative is now being challenged by natural language coding being implemented in AI tools like GitHub Copilot. Andrej Karpathy, senior director of AI at Tesla predicted this trend last year.... English is emerging as the universal coding language.

NVIDIA CEO Jensen Huang believes that English is becoming a new programming language thanks to AI advancements. Speaking at the World Government Summit, Huang explained, "It is our job to create computing technology such that nobody has to program and that the programming language is human"... He calls this a "miracle of AI," emphasising how it closes the technology divide and empowers people from all fields to become effective technologists without traditional coding skills... "In the future, you will tell the computer what you want, and it will do it,"â Huang commented. Large language models (LLMs) like OpenAI's GPT-4 and its successors have made this possible...

Microsoft CEO Satya Nadella has been equally vocal about the potential of English for coding. Microsoft's GitHub Copilot, an AI code assistant, enables developers to describe their needs in natural language and receive functional code in response. Nadella describes this as part of a broader mission to "empower every person and every organisation on the planet to achieve more".... In a discussion earlier last year, Stability AI CEO Emad Mostaque claimed, "41% of codes on GitHub are AI-generated"...

In 2024, the ability to program is no longer reserved for a few. It's a skill anyone can wield, thanks to the power of natural language processing and AI
"No longer is the power to create software restricted to those who can decipher programming languages," the article concludes. "Anyone with a problem to solve and a clear enough articulation of that problem can now write software."

Although the article also includes this consoling quote from Nvidia's Huang in March. "There is an artistry to prompt engineering. It's how you fine-tune the instructions to get exactly what you want"

Not every tech "advent calendar" involves programming puzzles. Instead the geek tradition of programming-language advent calendars "seems to have started way back in 2000," according to one history, "when London-based programmer Mark Fowler launched a calendar highlighting a different Perl module each day."

So the tradition continues...

• Nearly a quarter of a century later, there's still a Perl Advent Calendar, celebrating tips and tricks like "a few special packages waiting under the tree that can give your web applications a little extra pep in their step."

• And of course there's a separate advent calendar for Raku programmers.

• Since 2009 web performance consultant (and former Yahoo and Facebook engineer) Stoyan Stefanov has been pulling together an annual Web Performance calendar with helpful blog posts.

• There's also a JVM Advent calendar with daily helpful hints for Java programmers.

• Another advent calendar promises daily posts about C#.

• The HTMHell site — which bills itself as "a collection of bad practices in HTML, copied from real websites" — is celebrating the season with the "HTMHell Advent Calendar," promising daily articles on security, accessibility, UX, and performance.

• There's even an advent calendar with tips for the reverse-engineering framework Radar.

• There's still a lovely web-design themed calendar at Designcember.com.

And meanwhile developers at the Svelte frontend framework are actually promising to release something new each day, "whether it's a new feature in Svelte or SvelteKit or an improvement to the website!"

But not every tech advent calendar is about programming...

• Adafruit's managing director is publishing a Retrocomputing Advent Calendar — daily looks at the ghosts of computers past.

• The Atlantic continues its 17-year tradition of a Space Telescope advent calendar, featuring daily images from both NASA's Hubble telescope and James Webb Space Telescope

• The gaming blog Rock Paper Shotgun has been counting down their favorite games of 2024...

This week AWS pledged up to $100 million in cloud-computing credits for educational organizations over the next five years, to help them build "technology-based learning experiences" on AWS, including:

• AI assistants
• coding curriculums - connectivity tools
• student learning platforms
• mobile apps
• chatbots

One example shared by Amazon: The nonprofit Code.org will use AWS's cloud credits to scale their AI teaching assistant that "has already helped teachers reduce the time they spend assessing students' coding projects by up to 50%." (Amazon's blog post notes that "Improved efficiency means teachers have more time to work on personalized lesson plans and coach students" — and that Code.org's assistant uses an AWS service for building AI tools...)

$100 million sounds pretty generous. But long-time Slashdot reader theodp notes the application for the cloud credits limits education organization to $100,000 in credits (though "your organization may be able to apply for a credits expansion" if needed). Do these figures suggest Amazon expects less than 1,000 organizations to apply for free cloud-computing over the next five years? ($100,000,000/$100,000 = 1,000)

theodp also spotted a GitHub comment from a Code.org software engineer comparing accuracy for its teaching assistant after a switch from GPT-4 Turbo to Claude. Both before and after the switch, the teaching assistant averaged an accuracy rate of 77%, the comment notes.

I guess that 77% accuracy rate is what Amazon is calling "improved efficiency" that "means teachers have more time to work on personalized lesson plans and coach students." (Maybe you're never to young to learn that AI makes mistakes?)

Mozilla's developer blog is announcing "JavaScriptmas". [F]rom December 1st to December 24th, we will release a fun, daily coding challenge for you to solve on [code-learning platform] Scrimba. Each challenge comes with an introductory screencast called "scrim", some starter code, and then it's your turn to fill in the gaps.

JavaScriptmas is about coding, learning, and the chance to win exciting prizes. Two lucky coders will be chosen as winners at the end of JavaScriptmas, and each will win a MacBook Air M3, swag from MDN and Scrimba, and a lifetime Scrimba Pro membership (worth ~$200 per year). The Scrimba membership will give you access to all courses, including the Frontend Developer Career Path based on the MDN curriculum.

Most of the challenges will evolve around JavaScript algorithms. You will also practice subjects like DOM manipulation, UI design, CSS, accessibility, and even a bit of cyber security. The challenges are a collaborative effort from Scrimba teachers, mentors, and MDN content writers, all with the goal of turning you into a more well-rounded web developer.

Winners will be chosen randomly from everyone who submits correct solutions. We want JavaScriptmas to be accessible for both beginners and experienced developers alike. That said, the more challenges you solve, the better your chances of winning! To maximize your chances, try to solve all 24 challenges and submit them as both regular entries and social entries. You don't have to submit your solutions on the same day they're published — the deadline for any submission is midnight UTC on Christmas Eve.

"The Rust Foundation is dedicated to ensuring a healthy Rust ecosystem," according to a new announcement today, " which depends on a growing pool of well-trained developers to thrive." The latest SlashData Developer Nation survey found Rust to be the fastest-growing programming language, doubling its users over the past two years. As Rust's adoption continues to accelerate, the demand for a multifaceted ecosystem of quality training will too.
Their blog post highlights three examples of the Rust community "creating new pathways for learning Rust" and "addressing the critical need for Rust training in academic settings..." Rust-Edu operates as a non-profit through Portland State University, with funding from Futurewei. Their mission is to "spread Rust use and development through academic curricula and communities throughout the world, making Rust the language of choice for 'systems programming' in its broadest sense through shared efforts of faculty, students and the Rust community." They focus on three main areas: curriculum development, educational tools, and language improvements...

teach-rs, pronounced "teachers," is a modular and reusable university course designed for in-person teaching in Rust. Its mission is to introduce Rust in higher education and ensure that more students enter the job market with considerable Rust experience. The teach-rs project provides ready-to-use Rust teaching materials, including slide decks and exercises that can be adapted to various teaching contexts... As an open source permissively licensed project, teach-rs enables educators to share and improve resources, making introducing Rust instruction into their programs more accessible. Many institutions now use teach-rs in their courses, including the Slovak University of Technology, RustIEC (a collaboration between Vrije Universiteit Brussel and KU Leuven), and the University Politehnica of Bucharest. At the time of this writing, teach-rs has nearly 3000 stars on GitHub...

Under the guidance of The Rust Foundation's Global Rust Coordinator and Rust Nation UK's organizer Ernest Kissiedu, Mordecai Etukudo (Mart) has developed a guide to help educational institutions adopt Rust in their systems. This resource walks organizations through the entire implementation process, from initial assessment to community engagement.

Meta is using OpenAI's GPT-4 alongside its own Llama AI model in Metamate, an internal coding assistance tool, Fortune reported Tuesday. The dual-model approach has been in place since early 2024, despite CEO Mark Zuckerberg's public promotion of Llama as a leading AI model.

Metamate, previously known as Code Compose, serves Meta's developers and employees with coding support. The Chan Zuckerberg Initiative, Zuckerberg's philanthropic organization, is separately developing an educational AI tool using OpenAI's technology, with OpenAI CEO Sam Altman joining CZI's AI advisory board.

The long-running Advent of Code site just entered its 10th year, with 162,809 people completing both of its Day One puzzles (which involve a hunt for the missing historian of the North Pole). But its not the only site offering Christmas-themed programming puzzles:

• Hundreds of SQL lovers are trying the daily challenges from the "Advent of SQL" site.

• You can sign up for daily emails with webdev challenges from the Advent of JavaScript and Advent of CSS sites.

• The "Advent of No-Code" site challenges you to build something new every day using no-code tools like AI-powered dev environments or the social coding site Val Town.

• TryHackMe.com is publishing "beginner-friendly, daily gamified cyber security challenges" in an event they're calling the "Advent of Cyber."

• And Norway's biggest chess club (founded by world champion Magnus Carlsen) has even launched a site with daily chess puzzles called — what else? — Advent of Chess. (It promises at the end of the event someone will win a chessboard signed by Magnus Carlsen).

Greg Kroah-Hartman noted some coming changes in Linux 6.13 will make it possible to create "way more" Rust-based kernel drivers. "The veteran kernel developer believes we're at a tipping point of seeing more upstream Rust drivers ahead," reports Phoronix: These Rust char/misc changes are on top of the main Rust pull for Linux 6.13 that brought 3k lines of code for providing more Rust infrastructure. Linux 6.13 separately is also bringing Rust file abstractions.
"Sorry for doing this at the end of the merge window," Greg Kroah-Hartman wrote in the pull request, explaining that "conference and holiday travel got in the way on my side (hence the 5am pull request emails...)" Loads of things in here...

— Rust misc driver bindings and other rust changes to make misc drivers actually possible. I think this is the tipping point, expect to see way more rust drivers going forward now that these bindings are present.

Next merge window hopefully we will have pci and platform drivers working, which will fully enable almost all driver subsystems to start accepting (or at least getting) rust drivers. This is the end result of a lot of work from a lot of people, congrats to all of them for getting this far, you've proved many of us wrong in the best way possible, working code :)

Long-time Slashdot reader jaromil writes: As a fun project, we hacked together a C interpreter (based on Tiny C Compiler) that compiles C code in-memory and runs it live.

CJIT today is a 2MB executable that can do a lot, including call functions from any installed library on Linux, Windows, and MacOSX.
Slashdot reader oliwer points out "they are also including a REPL, which could be interesting." And the CJIT web page promises there's "no EULA to sign, no IDE to install... 100% Free and open source!"

It also says the project was inspired by Terry Davis (TempleOS) and Fabrice Bellard (Tiny C Compiler).

Nonprofit Code.org has posted this year's cartoon for "Hour of Code," their annual learn-to-code event for schoolchildren.

Long-time Slashdot reader theodp notes its animated pigeon gives a shout-out to the AI that could ultimately replace programmers: In an Instagram post introducing the video, Code.org explains: "Bartlett the Pigeon just learned how to code and now thinks he's smarter than us. Honestly...he might be. Meet the face (and feathers) of this year's #HourOfCode." In the video, Bartlett wows a social media influencer with his coding skills. "Is this pigeon typing code?" she asks in disbelief. "I'm going to film this for my socials!" Bartlett goes on to explain that the song he remixes with coding blocks — Aloe Blacc's "I Need a Dollar" — could have instead been generated by simply using AI, which he says is "like having a personal DJ assistant who never misses a beat!"

Interestingly, Blacc noted in a 2011 interview that he wrote "I Need a Dollar" after being made redundant in his career as a business consultant by Ernst & Young. That multinational company is now advising global business leaders on how they can harness the power of GenAI "to achieve more with fewer resources" by disrupting professions — like programming — that "involve a high degree of repetitive and data-driven tasks that AI can automate."

Software company Deno Land has filed a petition with the U.S. Patent and Trademark Office to cancel Oracle's JavaScript trademark, citing trademark abandonment and fraud. The November 22 filing claims Oracle has not sold JavaScript products or services since acquiring the trademark through its 2009 Sun Microsystems purchase. The petition alleges Oracle committed fraud during its 2019 trademark renewal by submitting Node.js website screenshots without authorization.

The legal action follows a September open letter from JavaScript creator Brendan Eich, Node.js and Deno creator Ryan Dahl, and other prominent JavaScript developers urging Oracle to relinquish the trademark. The letter has garnered over 14,000 signatures.

A Stanford study of over 50,000 software engineers across hundreds of companies has found that approximately 9.5% of engineers perform minimal work while drawing full salaries, potentially costing tech companies billions annually.

The research showed the issue is most prevalent in remote work settings, where 14% of engineers were classified as "ghost engineers" compared to 6% of office-based staff. The study evaluated productivity through analysis of private Git repositories and simulated expert assessments of code commits.

Major tech companies could be significantly impacted, with IBM estimated to have 17,100 underperforming engineers at an annual cost of $2.5 billion. Across the global software industry, the researchers estimate the total cost of underperforming engineers could reach $90 billion, based on a conservative 6.5% rate of "ghost engineers" worldwide.