According to a team of researchers from RMIT University in Australia, coffee grounds can be used as a silica substitute in the concrete production process to yield a significantly stronger chemical bond than sand alone. Engadget reports: "The disposal of organic waste poses an environmental challenge as it emits large amounts of greenhouse gases including methane and carbon dioxide, which contribute to climate change," lead author of the study, Dr Rajeev Roychand of RMIT's School of Engineering, said in a recent release. He notes that Australia alone produces 75 million kilograms of used coffee grounds each year, most of which ends up in landfills. Coffee grounds can't simply be mixed in raw with standard concrete as they won't bind with the other materials due to their organic content, Dr. Roychand explained. In order to make the grounds more compatible, the team experimented with pyrolyzing the materials at 350 and 500 degrees C, then substituting them in for sand in 5, 10, 15 and 20 percentages (by volume) for standard concrete mixtures.

The team found that at 350 degrees is perfect temperature, producing a "29.3 percent enhancement in the compressive strength of the composite concrete blended with coffee biochar," per the team's study, published in the September issue of Journal of Cleaner Production. "In addition to reducing emissions and making a stronger concrete, we're reducing the impact of continuous mining of natural resources like sand," Dr. Roychand said.

Meta, intent on making a splash in a generative AI space rife with competition, is on something of an open source tear. From a report: Following the release of AI models for generating text, translating languages and creating audio, the company today open sourced Code Llama, a machine learning system that can generate and explain code in natural language -- specifically English. Akin to GitHub Copilot and Amazon CodeWhisperer, as well as open source AI-powered code generators like StarCoder, StableCode and PolyCoder, Code Llama can complete code and debug existing code across a range of programming languages, including Python, C++, Java, PHP, Typescript, C# and Bash.

"At Meta, we believe that AI models, but large language models for coding in particular, benefit most from an open approach, both in terms of innovation and safety," Meta wrote in a blog post shared with TechCrunch. "Publicly available, code-specific models can facilitate the development of new technologies that improve peoples' lives. By releasing code models like Code Llama, the entire community can evaluate their capabilities, identify issues and fix vulnerabilities." Code Llama, which is available in several flavors, including a version optimized for Python and a version fine-tuned to understand instructions (e.g. "Write me a function that outputs the fibonacci sequence"), is based on the Llama 2 text-generating model that Meta open sourced earlier this month. While Llama 2 could generate code, it wasn't necessarily good code -- certainly not up to the quality a purpose-built model like Copilot could produce.

IBM is introducing the watsonx Code Assistant for Z, a tool that uses generative AI to translate COBOL code to Java. This tool is set to be available in Q4 2023 and aims to speed up the translation of COBOL to Java on IBM's Z mainframes. The Register reports: According to IBM, there are billions of lines of COBOL code out there as potential candidates for modernization (a report last year estimated the total figure at 775-850 billion lines). For this reason, the generative AI features in watsonx Code Assistant for Z are intended to help developers to assess and determine the code most in need of modernization, allowing them to more speedily update large applications and focus on critical tasks.

IBM wants to provide tooling for each step of the modernization process, starting with its Application Discovery and Delivery Intelligence (ADDI) inventory and analysis tool. Other steps include refactoring business services in COBOL, transforming the code to Java code, and then validating the resulting outcome with the aid of automated testing. The resulting Java code emitted by watsonx Code Assistant for Z will be object-oriented, but will still interoperate with the rest of the COBOL application IBM claimed, as well as with key services such as CICS, IMS, DB2, and other z/OS runtimes.

The latest update to the Android Runtime (ART) -- the "engine behind the Android operating system (OS)" -- has resulted in app startup time "improvements of up to 30% on some devices," says Google. 9to5Google reports: Behind the scenes, "ART is the same for all devices" and: "The ART APEX module is a complex piece of software with an order of magnitude more APIs than any other APEX module. It also backs a quarter of the developer APIs available in the Android SDK. In addition, ART has a compiler that aims to make the most of the underlying hardware by generating chipset-specific instructions, such as Arm SVE." The testing process for Android Runtime updates involves "compiling over 18 million APKs and running app compatibility tests, and startup, performance, and memory benchmarks on a variety of Android devices that replicate the diversity of our ecosystem as closely as possible." There's then a very gradual rollout process.

Google also notes developer improvements with every update "like OpenJDK improvements and compiler optimizations that benefit both Java and Kotlin," with ART 13 resulting in the "fastest-ever adoption of a new OpenJDK [11] release on Android devices." ART 14 is rolling out "in the coming months" with "new compiler and runtime optimizations that improve performance while reducing code size," as well as OpenJDK 17.

Researchers at Georgia Tech have developed a prototype pipeline for the Defense Advanced Research Projects Agency (DARPA) that can "distill" binary executables into human-intelligible code so that it can be updated and deployed in "weeks, days, or hours, in some cases." The work is part of a five-year, $10 million project with the agency. The Register reports: After running an executable through the university's "distillation" process, software engineers should be able to examine the generated HAR, figure out what the code does, and make changes to add new features, patch bugs, or improve security, and turn the HAR back into executable code, says GT associate professor and project participant Brendan Saltaformaggio. This would be useful for, say, updating complex software that was written by a contractor or internal team, the source code is no longer or never was to hand and neither are its creators, and stuff needs to be fixed up. Reverse engineering the binary and patching in an update by hand can be a little hairy, hence DARPA's desire for something a bit more solid and automatic. The idea is to use this pipeline to freshen up legacy or outdated software that may have taken years and millions of dollars to develop some time ago.

Saltaformaggio told El Reg his team has the entire process working from start to finish, and with some level of stability, too. "DARPA sets challenges they like to use to test the capabilities of a project," he told us over the phone. "So far we've handled every challenge problem DARPA's thrown at us, so I'd say it's working pretty well." Saltaformaggio said his team's pipeline disassembles binaries into a graph structure with pseudo-code, and presented in a way that developers can navigate, and replace or add parts in C and C++. Sorry, Java devs and Pythonistas: Saltaformaggio tells us that there's no reason the system couldn't work with other programming languages, "but we're focused on C and C++. Other folks would need to build out support for that." Along with being able to deconstruct, edit, and reconstruct binaries, the team said its processing pipeline is also able to comb through HARs and remove extraneous routines. The team has also, we're told, baked in verification steps to ensure changes made to code within hardware ranging from jets and drones to plain-old desktop computers work exactly as expected with no side effects.

Michael Larabel writes via Phoronix: Mozilla developers are celebrating that they are now faster than Google Chrome with the SunSpider JavaScript benchmark, although that test has been superseded by the JetStream benchmark. Last week a new Firefox Nightly News was published that outlines that "We're now apparently beating Chrome on the SunSpider JavaScript benchmark!" The provided numbers now show Firefox easily beating Chrome in this decade-old JavaScript benchmark. The benchmarks come from AreWeFastYet.com. Meanwhile for the newer and more demanding JetStream 2.0 benchmark, Google Chrome continues to win easily over Firefox. You can learn more about the latest Firefox Nightly build advancements via Firefox Nightly News.

Canonical engineering manager Ben Hoyt believes that a variable's name is more important than its type, so "the name should be more prominent and come first in declarations." In many popular programming languages, including C, C++, Java, and C#, when you define a field or variable, you write the type before the name. For example (in C++):

// Struct definition
struct person {
std::string name;
std::string email;
int age;
};

In other languages, including Go, Rust, TypeScript, and Python (with type hints), you write the name before the type. For example (in Go):

// Struct definition
type Person struct {
Name string
Email string
Age int
}

There's a nice answer in the Go FAQ about why Go chose this order: "Why are declarations backwards?". It starts with "they're only backwards if you're used to C", which is a good point — name-before-type has a long history in languages like Pascal. In fact, Go's type declaration syntax (and packages) were directly inspired by Pascal.

The FAQ goes on to point out that parsing is simpler with name-before-type, and declaring multiple variables is less error-prone than in C. In C, the following declares x to be a pointer, but (surprisingly at first!) y to be a normal integer:

int* x, y;

Whereas the equivalent in Go does what you'd expect, declaring both to be pointers:

var x, y *int

The Go blog even has an in-depth article by Rob Pike on Go's Declaration Syntax, which describes more of the advantages of Go's syntax over C's, particularly with arrays and function pointers.

Oddly, the article only hints at what I think is the more important reason to prefer name-before-type for everyday programming: it's clearer.
Hoyt argues a variable's name has more meaning (semantically) — pointing out dynamically-typed languages like Python and Ruby don't even need types, and that languages like Java, Go, C++ and C# now include type inference.

"I think the takeaway is this: we can't change the past, but if you're creating a new language, please put names before types!"

For storing passwords, Slashdot reader eggegick has a simple, easy solution: "I use Vim to keep my passwords in an encrypted file."

But what's the easiest solution for people who don't use Vim? My wife is not a Linux geek like I am, so she's using [free and open-source] KeePass. It's relatively simple to install and use, but I seem to recall it used to be even much simpler... Does anybody know of a really simple password manager or encrypting notepad?

I've looked at a number of them, and they use Java or Javascript, or they involve an external web site, or they have way too many features, or they use an installation program. Or Windows Defender objects to them.
Share your own suggestions and thoughts in the comments.

What's the best (encrypted) password manager?

Last weekend in Portland, Oregon, the Software Freedom Conservancy hosted a new conference called the Free and Open Source Software Yearly.

And long-time free software activist Bradley M. Kuhn (currently a policy fellow/hacker-in-residence for the Software Freedom Conservancy) hosted a lively panel discussion on "the recent change" to public source code releases for Red Hat Enterprise Linux which shed light on what may happen next. The panel also included:

• benny Vasquez, the Chair of the AlmaLinux OS Foundation
• Jeremy Alison, Samba co-founder and software engineer at CIQ (focused on Rocky Linux). Allison is also Jeremy Allison - Sam Slashdot reader #8,157.
• James (Jim) Wright, Oracle's chief architect for Open Source policy/strategy/compliance/alliances

"Red Hat themselves did not reply to our repeated requests to join us on this panel... SUSE was also invited but let us know they were unable to send someone on short notice to Portland for the panel."

One interesting audience question for the panel came from Karsten Wade, a one-time Red Hat senior community architect who left Red Hat in April after 21 years, but said he was "responsible for bringing the CentOS team onboard to Red Hat." Wade argued that CentOS "was always doing a clean rebuild from source RPMS of their own..." So "isn't all of this thunder doing Red Hat's job for them, of trying to get everyone to say, 'This thing is not the equivalent to RHEL.'"

In response Jeremy Alison made a good point. "None of us here are the arbiters of whether it's good enough of a rebuild of Red Hat Linux. The customers are the arbiters." But this led to an audience member asking a very forward-looking question: what are the chances the community could adopt a new (and open) enterprise Linux standard that distributions could follow. AlmaLinux's Vasquez replied, "Chances are real high... I think everyone sees that as the obvious answer. I think that's the obvious next step. I'll leave it at that." And Oracle's Wright added "to the extent that the market asks us to standardize? We're all responsive."

When asked if they'd consider adding features not found in RHEL ("such as high-security gates through reproducible builds") AlmaLinux's Vasquez said "100% -- yeah. One of the things that we're kind of excited about is the opportunities that this opens for us. We had decided we were just going to focus on this north star of 1:1 Red Hat no matter what -- and with that limitation being removed, we have all kinds of options." And CIQ's Alison said "We're working on FIPS certification for an earlier version of Rocky, that Red Hat, I don't believe, FIPS certified. And we're planning to release that."

AlmaLinux's Vasquez emphasized later that "We're just going to build Enterprise Linux. Red Hat has done a great job of establishing a fantastic target for all of us, but they don't own the rights to enterprise Linux. We can make this happen, without forcing an uncomfortable conversation with Red Hat. We can get around this."

And Alison later applied a "Star Wars" quote to Red Hat's predicament. "The more things you try and grab, the more things slip through your fingers." That is, "The more somebody tries to exert control over a codebase, the more the pushback will occur from people who collaborate in that codebase." AlmaLinux's Vasquez also said they're already "in conversations" with independent software vendors about the "flow of support" into non-Red Hat distributions -- though that's always been the case. "Finding ways to reduce the barrier for those independent software vendors to add official support for us is, like, maybe more cumbersome now, but it's the same problem that we've had..."

Early in the discussion Oracle's Jim Wright pointed out that even Red Hat's own web site defines open source code as "designed to be publicly accessible — anyone can see, modify, and distribute the code as they see fit." ("Until now," Wright added pointedly...) There was some mild teasing of Oracle during the 50-minute discussion -- someone asked at one point if they'd re-license their proprietary implementation of ZFS under the GPL. But at the end of the panel, Oracle's Jim Wright still reminded the audience that "If you want to work on open source Linux, we are hiring."

Read Slashdot's transcript of highlights from the discussion.

An anonymous reader shares this report from Dice.com: C++ is enjoying a surge in popularity, according to the latest update to the TIOBE Index, which tracks programming languages' "buzz."

C++ currently sits right behind C and Python on TIOBE's list. "A few months ago, the programming C++ language claimed position 3 of the TIOBE index (at the expense of Java). But C++ has not finished its rise. C seems to be its next victim," added the note accompanying the data... ["At the moment, the gap between the two is only 0.76%."]

Matlab, Scratch and Rust also match their all time high records at respectively positions #10, #12 and #17.
So here, according to TIOBE, are the 10 most popular programmings languages:

1. Python
2. C
3. C++
4. Java
5. C#
6. JavaScript
7. Visual Basic
8. SQL
9. PHP
10. MATLAB

The site I Programmer digs deeper: C++ was the only one of the top four languages to see a positive year-on-year change in its percentage rating — adding 0.79% to stand at 10.8%. Python had the smallest loss of the entire Top 20, -0.01% leaving it with a share of 13,42% while Visual Basic had the greatest loss at -2.07%. This, combined with JavaScript gaining 1.34%, led to JavaScript overtaking it to occupy #6, its highest ever ranking in the TIOBE Index.
They also note that COBOL "had a 3-month rise going from a share of 0.41% in April to 0.86% in July which moved it into #20 on the index."

An anonymous reader shares a report: If you want official updates from the Minecraft dev team, you better not look on Reddit. A post from a Reddit user bearing the name sliced_lime and a flair indicating they are the Minecraft Java Tech Lead (almost certainly Mojang's Mikael Hedberg) announced yesterday that Mojang would no longer be posting official content to Reddit, in the wake of that platform's response to protests over changes to its API. "As you have no doubt heard by now, Reddit management introduced changes recently that have led to rule and moderation changes across many subreddits," read the post, before announcing that those changes have led Mojang to "no longer feel that Reddit is an appropriate place to post official content or refer [its] players to".

The events are only obliquely referred to in the post, but it seems the move has been sparked by Reddit's crackdown on protests against recent changes to its API that would, in essence, kill off third-party apps that let users access the site. Subreddit mods have spent the last few weeks mounting various campaigns against Reddit's corporate leadership, either "going dark" by turning the subreddits they oversee into private, invite-only communities or else marking them as NSFW, meaning Reddit can't sell ads on those pages. Reddit responded by pressuring disgruntled mods, and in some cases ousting and trying to replace them.

96,000 American students took this year's [Java-based] AP Computer Science A test. And more than a third — a full 34% — missed question #4.

It asks test-takers to write two methods for the class BoxOfCandy — one that moves a Candy object to the first row (of a column), and one that finds and returns a Candy object of a specfic flavor, removing it from the box.

Long-time Slashdot reader theodp shares some thoughts: - "If 34% of students are not getting any points, it's a test question problem, not a student one," argued one commenter on Twitter. [Question 4 is 5-pages long.]

- Here's a stab at an Excel VBA solution to Question 4 for comparison-to-Java purposes. It's a little bit clunkier due to how VBA functions return results compared to Java, but it's still pretty concise and allows code to be easily tested and results to be easily visualized using the 2D Excel worksheet grid.

- AI-powered Bing refuses to provide the answer to the question that completely eluded 32,000+ AP CS A exam takers ("I'm sorry but I cannot provide you with the answer to that question. It is not ethical to share the answers to an exam question". [But] it does tip one off to a suggested Java solution for Q4 that can be found in A+ Computer Science's 2023 AP CS A Exam Review.

ZDNet asks the million-dollar question. "Despite the potential for vast productivity gains from generative AI tools such as ChatGPT or GitHub Copilot, will technology professionals' jobs actually grow more complicated? " People can now pump out code on demand in an abundance of languages, from Java to Python, along with helpful recommendations. Already, 95% of developers in a recent survey from Sourcegraph report they use Copilot, ChatGPT, and other gen AI tools this way.

But auto-generating new code only addresses part of the problem in enterprises that already maintain unwieldy codebases, and require high levels of cohesion, accountability, and security.

For starters, security and quality assurance tasks associated with software jobs aren't going to go away anytime soon. "For programmers and software engineers, ChatGPT and other large language models help create code in almost any language," says Andy Thurai, analyst with Constellation Research, before talking about security concerns. "However, most of the code that is generated is security-vulnerable and might not pass enterprise-grade code. So, while AI can help accelerate coding, care should be taken to analyze the code, find vulnerabilities, and fix it, which would take away some of the productivity increase that AI vendors tout about."

Then there's code sprawl. An analogy to the rollout of generative AI in coding is the introduction of cloud computing, which seemed to simplify application acquisition when first rolled out, and now means a tangle of services to be managed. The relative ease of generating code via AI will contribute to an ever-expanding codebase — what the Sourcegraph survey authors refer to as "Big Code". A majority of the 500 developers in the survey are concerned about managing all this new code, along with code sprawl, and its contribution to technical debt. Even before generative AI, close to eight in 10 say their codebase grew five times over the last three years, and a similar number struggle with understanding existing code generated by others.

So, the productivity prospects for generative AI in programming are a mixed bag.

An anonymous reader quotes a report from TechCrunch: Google is launching a new AI-powered coding bot for Android developers. During its I/O event on Wednesday, Google announced that the tool, called Studio Bot, will help developers build apps by generating code, fixing errors, and answering questions about Android. According to Google, the bot is built on Codey, the company's new foundational coding model that stems from its updated PaLM 2 large language model (LLM). Studio Bot supports both the Kotlin and Java programming languages and will live directly in the toolbar on Android Studio. There, developers can get quick answers to their questions or even have the bot debug a portion of their code.

While Google notes that developers don't need to share their source code with Google in order to use Studio Bot, the company will receive data on the conversations they have with the tool. Google says the bot is still in "very early days" but that it will continue training it to improve its answers. It's also currently only available to developers in the US for now via the Canary channel, and there's no word on when it will see a global launch.

Long-time software engineer Blake1024 (Slashdot reader #846,727) writes: We are thrilled to announce the release of Kiss v2.0, a comprehensive, Java-based, open-source, full-stack web development framework... Kiss v2.0 provides an even more seamless, out-of-the-box experience, including pre-configured front-end and back-end components... Key Features:

* Custom HTML controls
* RESTful web services
* Microservices architecture
* Built-in authentication
* SQL API integration
* Robust reporting capabilities

Kiss utilizes microservices, allowing developers to work on a running system without the need for rebuilds, redeploys, or server reboots... Production systems can be updated without any downtime.

With proven success in commercial applications, Kiss v2.0 is ready for prime time. It's not a beta, but a reliable solution for your web development needs.

Google is updating its Bard AI chatbot to help developers write and debug code. Rivals like ChatGPT and Bing AI have supported code generation, but Google says it has been "one of the top requests" it has received since opening up access to Bard last month. From a report: Bard can now generate code, debug existing code, help explain lines of code, and even write functions for Google Sheets. "We're launching these capabilities in more than 20 programming languages including C++, Go, Java, Javascript, Python and Typescript," explains Paige Bailey, group product manager for Google Research, in a blog post. You can ask Bard to explain code snippets or explain code within GitHub repos similar to how Microsoft-owned GitHub is implementing a ChatGPT-like assistant with Copilot. Bard will also debug code that you supply or even its own code if it made some errors or the output wasn't what you were looking for.

"Java would become easier for students to learn under a proposal to introduce flexible main methods and anonymous main classes to the language," reports InfoWorld.

Details of the plan include enhancing the protocol by which Java programs are launched to be flexible, in particular to allow the String[] parameter of main methods to be omitted and allow main methods to be neither public nor static; the Hello World program would be simplified. Anonymous main classes would be introduced to make the class declaration implicit.
It's currently a disabled-by-default preview language feature in JDK 21 (scheduled for General Availability in September), included to provoke developer feedback based on real world use (which may lead to it becoming permanent in the future). This wouldn't introduce a separate beginner's dialect or beginners' toolchain of Java, emphasizes Java Enhancement Proposal (JEP) 445. "Student programs should be compiled and run with the same tools that compile and run any Java program."

But it argues that a simple "Hello World" program today has "too much clutter...too much code, too many concepts, too many constructs — for what the program does."


public class HelloWorld {
public static void main(String[] args) {
System.out.println("Hello, World!");
}
}



Anonymous main classes would make the public class declaration implicit (while also sparing newbies the "mysterious" modifier static and the args parameter String[] ). The program is streamlined to:


void main() {
System.out.println("Hello, World!");
}


The proposal argues this change reduces "the ceremony of writing simple programs such as scripts and command-line utilities." And since Java is intended to be a first programming language, this change would mean students "can write their first programs without needing to understand language features designed for large programs," using instead "streamlined declarations for single-class programs". (This allows students and educators to explore language features more gradually.) A Hello, World! program written as an anonymous main class is much more focused on what the program actually does, omitting concepts and constructs it does not need. Even so, all members are interpreted just as they are in an ordinary class. To evolve an anonymous main class into an ordinary class, all we need to do is wrap its declaration, excluding import statements, inside an explicit class declaration.

Amazon is making its AI-powered coding assistant CodeWhisperer free for individual developers, reports the Verge, "undercutting the $10 per month pricing of its Microsoft-made rival." Amazon launched CodeWhisperer as a preview last year, which developers can use within various integrated development environments (IDEs), like Visual Studio Code, to generate lines of code based on a text-based prompt....

CodeWhisperer automatically filters out any code suggestions that are potentially biased or unfair and flags any code that's similar to open-source training data. It also comes with security scanning features that can identify vulnerabilities within a developer's code, while providing suggestions to help close any security gaps it uncovers. CodeWhisperer now supports several languages, including Python, Java, JavaScript, TypeScript, and C#, including Go, Rust, PHP, Ruby, Kotlin, C, C++, Shell scripting, SQL, and Scala.
Here's how Amazon's senior developer advocate pitched the usefulness of their "real-time AI coding companion": Helping to keep developers in their flow is increasingly important as, facing increasing time pressure to get their work done, developers are often forced to break that flow to turn to an internet search, sites such as StackOverflow, or their colleagues for help in completing tasks. While this can help them obtain the starter code they need, it's disruptive as they've had to leave their IDE environment to search or ask questions in a forum or find and ask a colleague — further adding to the disruption. Instead, CodeWhisperer meets developers where they are most productive, providing recommendations in real time as they write code or comments in their IDE. During the preview we ran a productivity challenge, and participants who used CodeWhisperer were 27% more likely to complete tasks successfully and did so an average of 57% faster than those who didn't use CodeWhisperer....

It provides additional data for suggestions — for example, the repository URL and license — when code similar to training data is generated, helping lower the risk of using the code and enabling developers to reuse it with confidence.

An anonymous reader shares a report: About a year ago, Google announced its Assured Open Source Software (Assured OSS) service, a service that helps developers defend against supply chain security attacks by regularly scanning and analyzing some of the world's most popular software libraries for vulnerabilities. Today, Google is launching Assured OSS into general availability with support for well over a thousand Java and Python packages -- and while Google didn't initially disclose pricing when it first announced the service, the company has now revealed that it will be available for free.

Software development has long depended on third-party libraries (which are often maintained by only a single developer), but it wasn't until the industry got hit with a number of high-profile exploits that everyone (including the White House) perked up and started taking software supply chain security seriously. Now, you can't attend an open source conference without hearing about Software Bills of Materials (SBOMs), artifact registries and similar topics. It's no surprise then that Google, which has long been at the forefront of releasing open-source products, launched a service like Assured OSS.

Google promises that it will constantly keep these libraries up to date (without creating forks) and continuously scan for known vulnerabilities, do fuzz tests to discover new ones and then fix these issues and contribute these fixes back upstream. The company notes that when it first launched the service with around 250 Java libraries, it was responsible for discovering 48% of the new CVEs for these libraries and subsequently addressing them.

InfoWorld reports: Zig, a general purpose programming language that interacts with C/C++ programs and promises to be a modern alternative to C, has made an appearance in the Tiobe index of programming language popularity. Zig entered the top 50 in the April edition of the Tiobe Programming Community Index, ranking 46th, albeit with a rating of just 0.19%. By contrast, the Google-promoted Carbon language, positioned as an experimental successor to C++, ranked just 168th.
Tiobe CEO Paul Jansen argues that high-performance languages "are booming due to the vast amounts of data that needs to be processed nowadays. As a result, C and C++ are doing well in the top 10 and Rust seems to be a keeper in the top 20." Zig has all the nice features of C and C++ (such as explicit memory management enhanced with option types) and has abandoned the not-so-nice features (such as the dreadful preprocessing). Entering the top 50 is no guarantee to become a success, but it is at least a first noteworthy step. Good luck Zig!
Tiobe bases its monthly ranking of programming language popularity on search engine results for courses, third party vendors, and engineers. Here's what they's calculated for the most popular programming languages in April of 2023:

• Python
• C
• Java
• C++
• C#
• Visual Basic
• JavaScript
• SQL
• PHP
• Go

April's top 10 was nearly identical to the rankings a year ago, but assembly language fell from 2022's #8 position to #12 in 2023. SQL and PHP rose one rank (into 2023's #8 and #9 positions) — and as in March, the rankings now shows Go as the 10th most popular programming language.