# Programming Published articles for Programming. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Presto: A match-action TCP stack for the terabit era DevFeed: [Presto: A match-action TCP stack for the terabit era]() Original publisher: [Read original article]() Author: Rajath Shashidhara Published: 2026-09-18T03:34:15Z Content type: article Language: en Sources: [APNIC Blog]() Topics: [presto](), [Computing](), [Hardware](), [cpu](), [Latency](), [Network](), [rdma](), [Programming]() Tags: [amd](), [architecture](), [connectx](), [cpu](), [data-centres](), [efficiency](), [guest-post](), [hardware](), [high-performance-computing](), [latency](), [network](), [networks](), [nvidia](), [performance](), [presto](), [processing](), [programming](), [protocol](), [rdma](), [scale](), [software](), [tcp](), [tech-matters]() ### AI overview The post presents Presto, a complete TCP stack implemented as match-action operations on reconfigurable match-action table architectures. It argues that software TCP consumes substantial CPU resources at high data-center network speeds, while hardware transports such as RDMA can be rigid and difficult to operate at scale. Presto aims to combine programmable software behavior with line-rate packet processing, low latency, and ASIC-like power efficiency. ### Source excerpt Guest Post: Presto is built on the RMT architecture that underlies programmable switches, and addresses RMT's main constraints. ## Adafruit's New CircuitPython 'Turbo' Brings Native Code To Tiny Boards DevFeed: [Adafruit's New CircuitPython 'Turbo' Brings Native Code To Tiny Boards]() Original publisher: [Read original article]() Author: EditorDavid Published: 2026-09-17T02:34:00Z Content type: news Language: en Sources: [Slashdot]() Topics: [CircuitPython](), [Microcontroller](), [MicroPython](), [Python](), [Compiler](), [Hardware](), [Open Source]() Tags: [benchmarks](), [circuitpython](), [code](), [compiler](), [examples](), [hardware](), [micropython](), [open-hardware](), [opensource](), [optimized](), [programming](), [programming-language](), [python]() ### AI overview Adafruit has published CircuitPython Turbo, a workflow that compiles selected Python functions into native machine code for compatible microcontroller boards while leaving the rest of an application in Python. In a documented Mandelbrot benchmark, the compiled computation ran 19.71 times faster than bytecode, though the result applies to the measured computation rather than the whole application. ### Source excerpt Targeting students and beginners, Adafruit released "CircuitPython" in 2017 (as a derivative of the MicroPython microcontroller-optimized programming language). Now Adafruit managing director Phillip Torrone (also long-time Slashdot reader ptorrone) brings this update: Adafruit has published CircuitPython Turbo, a workflow that compiles selected Python functions into native machine code on a computer, then loads them onto compatible microcontroller boards. It builds on MicroPython's Native and Viper emitters. In a documented Metro RP2040 fixed-point Mandelbrot test, Viper cut computation time from 8.335 seconds to 0.423 seconds, a 19.71x speedup over bytecode. The rest of the application stays in Python. The guide includes benchmarks, source code and hardware demos. The speedup is for the measured computation, not the whole application. "Turbo support is now included in the latest official CircuitPython builds for RP2040 and RP2350 boards..." explains Torrone's announcement at Adafruit.com. "The new Turbo in CircuitPython helps when the board spends time calculating: making neopixel effects, drawing fractals, processing audio, filtering sensor readings, or preparing lots of pixels. Those projects can get smoother animation, quicker responses, or room to do more things at once." With Turbo, it's easier, better, and now even faster to make LED light up costumes that also reacts to sound at the same time, a sensor dashboard with animated graphics, or a tiny game doing physics while drawing the screen. Turbo speeds up the busy Python parts. It won't make a slow sensor or display connection faster... Your computer turns selected functions into instructions the chip can run directly. Python still handles the rest. We have measured speedups, real display captures, and examples you can pull apart to see what happened. None of this arrived alone. CircuitPython, MicroPython, PyMCU, compiler tools, open hardware, and people sharing their work gave us pieces to connect. The Bao ## i18nize-templates: Internationalization After the Fact DevFeed: [i18nize-templates: Internationalization After the Fact]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-09-28T22:00:00Z Content type: release Language: en Sources: [Khan Academy]() Topics: [Internationalization (i18n)](), [Localization (l10n)](), [Open Source](), [Python](), [Handlebars](), [HTML](), [Library](), [Code](), [JavaScript](), [Babel]() Tags: [babel](), [code](), [engineering](), [html](), [infrastructure](), [javascript](), [language](), [languages](), [library](), [news](), [open-source](), [programming](), [python]() ### AI overview Khan Academy describes retrofitting its English-only codebase for internationalization and localization across several HTML-rendering technologies. It introduces i18nize-templates, an open-source Python module that finds natural-language text in HTML and templates and marks it as i18n-aware. The tool supports raw HTML, jinja2, and Handlebars templates and reportedly reduces template annotation time by over 90%. ### Source excerpt By Craig Silverstein Khan Academy started as a collection of videos, but now has over 100,000 pieces of ... Read more ## Stories from our latest intern class DevFeed: [Stories from our latest intern class]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-12-21T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Programming](), [Mobile](), [JavaScript](), [Ionic](), [AdventureX 2026]() Tags: [backup](), [blog-post](), [email](), [engineering](), [github](), [hackathon](), [intern](), [ionic](), [javascript](), [mobile](), [news](), [programming](), [project](), [stories](), [web-frontend]() ### AI overview This article shares reflections from Khan Academy's 2015 intern class. It describes a hackathon project that used Ionic to build a mobile app for browsing and playing JavaScript projects, and discusses backing up Khan Academy mailing-list data. ### Source excerpt By 2015 Interns We sent an email out to all of the 2015 interns in early November, shortly ... Read more ## Kotlin for Python developers DevFeed: [Kotlin for Python developers]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-11-29T23:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Kotlin](), [Python](), [Learning](), [Programming]() Tags: [content-platform](), [developers](), [engineering](), [guide](), [kotlin](), [learning](), [news](), [programming](), [python]() ### AI overview Khan Academy Engineering publicly released a Kotlin for Python developers guide after adopting Kotlin as an alternative backend language alongside Python. The textbook-style resource explains Kotlin in terms familiar to Python developers, while noting that it is not comprehensive and is provided as-is. ### Source excerpt By Aasmund Eldhuset Earlier this year, the Khan Academy Engineering organization decided to introduce Kotlin as an alternative ... Read more ## What to Expect at the Zephyr Project Meetup (September 19, 2026) - Buenos Aires, Argentina DevFeed: [What to Expect at the Zephyr Project Meetup (September 19, 2026) - Buenos Aires, Argentina]() Original publisher: [Read original article]() Author: Susan Remmert Published: 2026-09-15T22:12:26Z Content type: article Language: en Sources: [Zephyr Project]() Topics: [Embedded Systems](), [Open Source](), [Programming](), [amazon]() Tags: [2026](), [amazon](), [blog](), [community](), [embedded](), [embedded-systems](), [event](), [events](), [meetup](), [open](), [open-source](), [programming](), [software-development](), [zephyr]() ### AI overview The article announces an in-person Zephyr Project Meetup in Buenos Aires on September 19, 2026, organized by Iomico. It describes the event's audience, schedule, technical presentations, and a talk on integrating Amazon Sidewalk's closed protocol into a Zephyr application. ### Source excerpt The Zephyr Project community is heading to Buenos Aires, Argentina! Join us on Saturday, September 19, 2026, for an in-person Zephyr Project Meetup organized by Iomico. The event is open to developers, engineers, contributors, students, technology professionals, and anyone interested in open source, embedded systems programming, and software development. Whether you are an experienced Zephyr developer or are just beginning to explore embedded technologies, you are welcome to join. ## What to Expect at the Zephyr Project Meetup (September 19, 2026) - Buenos Aires, Argentina DevFeed: [What to Expect at the Zephyr Project Meetup (September 19, 2026) - Buenos Aires, Argentina]() Original publisher: [Read original article]() Author: Susan Remmert Published: 2026-09-15T22:12:26Z Content type: news Language: en Sources: [Zephyr Project]() Topics: [Embedded Systems](), [Open Source](), [Programming](), [Development]() Tags: [2026](), [blog](), [community](), [developers](), [embedded](), [embedded-systems](), [event](), [events](), [meetup](), [open-source](), [programming](), [software-development]() ### AI overview The Zephyr Project community will hold an in-person meetup in Buenos Aires on September 19, 2026, organized by Iomico. The event includes networking and technical presentations on Zephyr-based products, subsystems, development experiences, and integrating Amazon Sidewalk into a Zephyr application. ### Source excerpt The Zephyr Project community is heading to Buenos Aires, Argentina! Join us on Saturday, September 19, 2026, for an in-person Zephyr Project Meetup organized by Iomico. The event is open to developers, engineers, contributors, students, technology professionals, and anyone interested in open source, embedded systems programming, and software development. Whether you are an experienced Zephyr developer or are just beginning to explore embedded technologies, you are welcome to join. ## Swift 6.4 Released DevFeed: [Swift 6.4 Released]() Original publisher: [Read original article]() Author: Holly Borla Published: 2026-09-15T07:30:00Z Content type: release Language: en Sources: [Swift.org]() Topics: [Swift](), [cross-platform](), [Programming](), [Memory Safety](), [WebAssembly](), [browser](), [Microcontroller]() Tags: [cross-platform](), [errors](), [libraries](), [linux](), [macos](), [memory-safety](), [programming](), [swift](), [webassembly]() ### AI overview Swift 6.4 is now available with Swift Build as the default in Swift Package Manager, a stable cross-platform Subprocess API, expanded C++20 and Java interoperability, faster WebAssembly support, broader embedded Swift capabilities, and performance improvements that maintain memory safety. ### Source excerpt Swift 6.4 is now available. Swift aims to be a great choice across the stack, from apps and servers to systems code, embedded devices, and the browser. This release deepens that support, and makes everyday code easier to write. Highlights include: Swift Build is now the default in Swift Package Manager, so your projects build the same way on Linux, macOS, and Windows. Subprocess reaches 1.0, a stable, cross-platform way to run and interact with other programs from Swift, from command-line tools to streaming processes. Interoperability reaches further, with Swift's Span now bridging directly with C++20's std::span, and Swift/Java interop extending its async and callback support. Swift runs faster in the browser, with WebAssembly bridging through JavaScriptKit up to 40 times faster, and the Wasm SDK available directly from Swift.org. Embedded Swift grows more capable, with support for existential types and richer error handling for microcontroller-class targets. Performance improves while maintaining memory safety, with new array types that hold non-copyable elements without copy-on-write overhead, and the new Iterable protocol for iterating without copies. There's so much more. Read on for a detailed guide to the new changes, or see the Swift Evolution dashboard for the full list of proposals in Swift 6.4. Simpler and clearer code Swift 6.4 streamlines your day-to-day programming to make your code simpler and clearer. More natural optional some and any types. When writing an optional some or any type, you no longer have to wrap the type in parentheses. Instead of (some Rocket)?, you can simply write some Rocket? (SE-0521). Source-level control over compiler warnings. When you need to control the behavior of warnings in your project, such as suppressing warnings or promoting them to errors, you can now define the warning behavior directly in your code using the new @diagnose attribute (SE-0522). Clarify which API to use when multiple libraries conflict. When multiple ## Tools DevFeed: [Tools]() Original publisher: [Read original article]() Author: Kaushik Gopal Published: 2026-09-15T04:00:36.743345Z Content type: article Language: en Sources: [Kaushik Gopal's Site]() Topics: [Programming](), [Cloudflare](), [Terminal](), [Vim](), [Hugo](), [Firefox](), [macOS](), [Obsidian](), [Font]() Tags: [cloudflare](), [firefox](), [hugo](), [mac](), [macos](), [programming](), [programming-font](), [terminal](), [tools](), [vim]() ### AI overview A personal tools page listing services, programming tools, macOS applications, audio equipment, desk items, and physical products. It mentions Buttondown, a customized Hugo site deployed on Cloudflare Pages, Ghostty, tmux, Vim, Zed, Obsidian, Raycast, Firefox, CleanShot, and Logic Pro. ### Source excerpt Bits ## Services ### Newsletter via Buttondown Statically generate site with Henry (highly customized Hugo theme) Deployed on Cloudflare Pages Programming ### Berkeley Mono is my programming font of choice Ghostty for terminal stuff (along with tmux) Within the terminal I'm almost entirely using Vim. Zed as my regular text editor MacOS ### Obsidian for notes & todos Raycast is my launcher Firefox for browsing CleanShot for screenshots on my mac Logic Pro for editing AI Stuff ### With AI evolving so fast, my tag ai-model-choice is a better place to track what I'm using. Atoms ## Desk ### Nordik Leather Desk Mat LEUCHTTURM1917 Soft cover journal dotted Uniball Deluxe 0.5mm Micro pens Audio ### Earthworks Ethos - 400 microphone USBPre 21 audio interface AirPods Max (yes for podcasting!) Physical ### I drive a Tesla Model Y (and eagerly waiting to move to an R3) These are no longer sold but are built like a tank. I'd probably pick the Motu 2 if my USBPre 2 ever fails ↩︎ ## Supporter spotlight: Jochen Sprickerhof on reproducible builds DevFeed: [Supporter spotlight: Jochen Sprickerhof on reproducible builds]() Original publisher: [Read original article]() Published: 2026-09-15T03:54:00Z Content type: news Language: en Sources: [reproducible-builds.org]() Topics: [reproducible builds](), [Open Source](), [Debian](), [Programming](), [F-Droid](), [Robotics](), [Point cloud]() Tags: [debian](), [open-source](), [org](), [programming](), [reproducible-builds](), [robotics]() ### AI overview An interview with Jochen Sprickerhof, a freelance programmer and Reproducible Builds core team member, covering his work on Debian, F-Droid, software projects, and bit-for-bit reproduction of Debian packages. ### Source excerpt The Reproducible Builds project relies on several projects, supporters and sponsors for financial support, but they are also valued as ambassadors who spread the word about our project and the work that we do. This is the ninth installment in a series featuring the projects, companies and individuals who support the Reproducible Builds project. We started this series by featuring the Civil Infrastructure Platform project, and followed this up with a post about the Ford Foundation as well as recent ones about ARDC, the Google Open Source Security Team (GOSST), Bootstrappable Builds, the F-Droid project, David A. Wheeler, Simon Butler and Kees Cook. Today, however, we will be talking with Jochen Sprickerhof, one of the newer members of the Reproducible Builds project core team. Vagrant Cascadian: Could you tell me a bit about yourself? What sort of things do you work on? Jochen Sprickerhof: I am a freelance programmer working on Open Source. Mainly doing Debian, F-Droid and some smaller software projects. In general I made it a habit to look into every software I use and try to fix bugs or add features I need. In Debian, I maintain about 180 packages with topics covering home banking, build systems and robotics. Most of my time, I currently work on reproduce.debian.net, where we try to bit-for-bit reproduce the packages distributed by Debian. Vagrant: Could you describe the path that lead you to working on reproducible builds? Jochen: I started my Debian journey as a teenager, converting my school to Debian and serving as its system administrator for 13 years. After studying Applied System Science, I joined the university's robotics labs, where I worked on the Robot Operating System (ROS) and the Point Cloud Library (PCL). In the end, I enjoyed programming more than writing papers, so I eventually left academia for a robotics startup. Some years ago, I realized that the open source work I was doing in my spare time was actually the work I cared most about. Nowadays I ## Casey Muratori: Surprises In Computer History And Where Bad Code Comes From DevFeed: [Casey Muratori: Surprises In Computer History And Where Bad Code Comes From]() Original publisher: [Read original article]() Author: Ryan Peterman Published: 2026-09-14T13:03:29Z Content type: article Language: en Sources: [The Developing Dev]() Topics: [Computer science](), [Programming](), [Optimization](), [Code]() Tags: [code](), [optimization](), [performance](), [programming](), [science]() ### AI overview A podcast conversation with Casey Muratori explores computer science history, programming culture, the video game industry, and the lasting interpretations of Donald Knuth's warning about premature optimization. ### Source excerpt In this episode, my goal was to record a conversation that was completely free of any "AI doom" content. ## Back to the Basics. Threads. DevFeed: [Back to the Basics. Threads.]() Original publisher: [Read original article]() Author: Daniel Beach Published: 2026-09-14T12:19:11Z Content type: tutorial Language: en Sources: [Data Engineering Central]() Topics: [Concurrency](), [Rust](), [Concurrent Programming](), [Programming](), [Python]() Tags: [concurrency](), [programming](), [python](), [rust](), [threads]() ### AI overview An introductory, applied discussion of threads and concurrency, focusing on Rust and briefly recalling Python ProcessPools for parallel data and file processing. ### Source excerpt staying grounded in an agentic world ## On-Device AI Series (Part 5): LiteRT-LM DevFeed: [On-Device AI Series (Part 5): LiteRT-LM]() Original publisher: [Read original article]() Author: Oğuzhan Aslan Published: 2026-09-14T05:59:12Z Content type: tutorial Language: en Sources: [ProAndroidDev - Medium]() Topics: [LiteRT](), [On-device AI](), [Large Language Model](), [Inference](), [Streaming](), [GPU](), [LLM evaluation / benchmarking](), [PyTorch]() Tags: [ai](), [android](), [android-development](), [benchmarking](), [gpu](), [inference](), [litert](), [llama](), [llm](), [multimodal](), [on-device](), [on-device-ai](), [programming](), [pytorch](), [qwen](), [software-development](), [streaming]() ### AI overview This tutorial explains LiteRT-LM for running large language models on-device. It covers the Engine/Session API, streaming output, system prompts, tool calling, multimodal inputs, thinking mode, and CPU-versus-GPU benchmarking. The article also discusses tradeoffs involving privacy, network independence, latency, memory, sampling configuration, and model capability compared with cloud APIs. ### Source excerpt Put your phone in airplane mode. Open the app, type a question, and watch the answer arrive one token at a time -- no spinner waiting on a network round-trip, no API key, no per-token bill, and nothing you typed ever leaving the device. LiteRT-LM removes the genuinely hard parts of running an LLM on-device -- KV-cache management, token streaming, backend selection -- but it doesn't remove your job so much as relocate it. What's left on your plate is a short, specific list: sizing a combined input+output token budget, owning your own sampling defaults, hand-building system prompts and tool calling out of raw text, and one native-library collision that presents as a SIGSEGV rather than a build error. Know those going in and the API itself is a clean three-step pattern. We'll get there in that order: Why you'd choose this runtime and what it costs you versus the cloud. The Engine/Session model you need to read the code at all. Real implementation samples -- streaming, system prompts and tool calling, multimodal inputs, thinking mode, and CPU-vs-GPU benchmarking. The anti-patterns to avoid. A developer-friendliness rating on the same rubric as Parts 1-4. Why Use LiteRT-LM? You reach for LiteRT-LM instead of hand-rolling generation on top of raw LiteRT when: You need multi-turn conversation, not single-shot inference -- session state and KV-cache bookkeeping are handled for you, and resetting a conversation is a session swap, not a model reload. You need streaming output -- token-by-token delivery for a responsive chat UI, instead of a blocking call that returns everything at once. You're choosing between CPU and GPU per device -- the explicit backend parameter turns that into a runtime decision instead of a build-time guess. You want a pre-converted model without doing your own PyTorch-to-LiteRT conversion work -- the Model Zoo covers Gemma, Qwen, Llama, and more out of the box. You're willing to own sampling -- the engine won't pick sane decoding defaults for you; that's on the ## AI Agents in 2026 DevFeed: [AI Agents in 2026]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-13T09:23:56Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [Artificial Intelligence]() Tags: [agents](), [ai](), [ai-agents](), [ai-agents-ai-business-agents-ideas](), [ai-agents-in-2026-why-every-founder-s-stack-just-changed-for-good](), [backend](), [blockchain](), [business-agents](), [coding](), [development](), [frontend](), [ideas](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [typescript](), [web-development]() ### AI overview The author revisits an earlier post that called AI agents "the next big thing," arguing that by September 2026 this no longer needs to be argued. ### Source excerpt Hey there!A while back, I wrote a short post calling AI agents "the next big thing." It's September 2026 now, and I don't need to convince anyone of that anymo... ## Company's Building AI Agent Sandbox SDKs & APIs DevFeed: [Company's Building AI Agent Sandbox SDKs & APIs]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-12T13:15:15Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [AI Agent](), [SDKs](), [Artificial Intelligence](), [Development]() Tags: [ai](), [ai-agent](), [ai-sandboxes](), [ai-sandboxes-vercel-aws-google-daytona](), [apis](), [aws](), [backend](), [blockchain](), [coding](), [company-s-building-ai-agent-sandbox-sdks-apis](), [daytona](), [developer](), [development](), [frontend](), [google](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [sdks](), [typescript](), [vercel](), [web-development]() ### AI overview An opinion article discusses companies building AI agent sandboxes, SDKs, and APIs, in the context of an ongoing competition around AI sandboxes. ### Source excerpt Company's Building AI Agent Sandbox SDKs & APIs I wrote about the fight for AI sandboxes back in March -- the short version was that every AI agent that wri... ## Coding Challenge #136 - Hyperfine DevFeed: [Coding Challenge #136 - Hyperfine]() Original publisher: [Read original article]() Author: John Crickett Published: 2026-09-12T08:03:11Z Content type: tutorial Language: en Sources: [Coding Challenges]() Topics: [benchmarking](), [coding](), [Command-line interface](), [Processes]() Tags: [benchmarking](), [coding](), [command-line](), [performance](), [process](), [programming]() ### AI overview A coding challenge asks readers to build a command-line benchmarking tool modeled on hyperfine. The tool should run commands repeatedly, measure execution time and variation, compare commands, export results, and warn about unreliable measurements. ### Source excerpt This challenge is to build your own benchmarking tool. ## Worth Reading 091126 DevFeed: [Worth Reading 091126]() Original publisher: [Read original article]() Author: Russ Published: 2026-09-11T15:39:48Z Content type: article Language: en Sources: [rule 11 reader]() Topics: [Artificial Intelligence](), [data](), [Internet](), [Programming](), [Software](), [systems]() Tags: [ai](), [articles](), [data](), [errors](), [internet](), [junior](), [learning](), [programming](), [rpki](), [software](), [systems](), [worth-reading]() ### AI overview A reading roundup connecting the AI bubble, Internet Route Registry and RPKI safety, silent data corruptions, and the effects of AI-assisted programming on junior developers and software engineering. ### Source excerpt Recognizing that AI is a bubble requires one to apply the right test to the right companies and that requires one to understand the fundamental nature of the bubble in question. Based on the insights from those articles, we now shift attention to which parts of the Internet Route Registry (IRR) landscape can - or cannot - be replaced safely with information from the Resource Public Key Infrastructure (RPKI) system. While many faults manifest as crashes or exceptions, others are far more subtle to identify. Silent data corruptions (SDCs), also known as silent data errors or silent errors, are violations of data integrity that occur without immediate, observable, and explicit indications. Aligning intended learning outcomes, assessments, and teaching practices with the realities of AI-assisted programming. AI is transforming the role of the junior developer. But as routine tasks become increasingly automated, how will the next generation of software engineers master the craft of maintaining complex systems? ## (Re)introducing Developer Story DevFeed: [(Re)introducing Developer Story]() Original publisher: [Read original article]() Author: Philippe Beaudette Published: 2026-09-10T18:01:54Z Content type: news Language: en Sources: [Stack Overflow Blog]() Topics: [Programming](), [Code](), [Large Language Model](), [datasets]() Tags: [career](), [community](), [company](), [cv](), [datasets](), [developer](), [identity](), [llms](), [news](), [privacy](), [profile](), [programming](), [se-stackoverflow](), [se-tech](), [skills](), [work]() ### AI overview Stack Overflow is reintroducing Developer Story, a profile feature designed to showcase developers' careers, specialties, contributions, and technical identity. The article also introduces Stack Identity, a broader vision for verified proof of developer work, with privacy controls and integrations for verified contributions from other sites. ### Source excerpt For the past few years, we've been looking at ways to bring a little more of the individual developer back to Stack. ## Julia 1.13 released DevFeed: [Julia 1.13 released]() Original publisher: [Read original article]() Author: jzb Published: 2026-09-10T13:23:50Z Content type: release Language: en Sources: [LWN.net]() Topics: [releases]() Tags: [programming](), [programming-language](), [release](), [release-notes]() ### AI overview Julia 1.13 is released with faster package precompilation, REPL improvements, and Juliaup graphical-interface updates. ### Source excerpt Version 1.13 of the Julia programming language has been released. Highlights include faster precompilation of packages, improvements to Julia's REPL, and Juliaup, a graphical interface for the Julia version manager. A full list of changes can be found in the release notes. LWN covered Julia 1.12 in November 2025. ## How to Get Free Traffic to Your Website in 2026: The Complete Free-to-Paid Growth Playbook DevFeed: [How to Get Free Traffic to Your Website in 2026: The Complete Free-to-Paid Growth Playbook]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-10T12:46:02Z Content type: tutorial Language: en Sources: [iHateReading]() Topics: [Website](), [Software as a service]() Tags: [2026](), [backend](), [blockchain](), [coding](), [development](), [founders](), [frontend](), [growth](), [guide](), [how-to](), [how-to-get-free-traffic-to-your-website-in-2026-the-complete-free-to-paid-growth-playbook](), [ihatereading](), [javascript](), [marketing](), [node-js](), [product](), [programming](), [react](), [seo](), [seo-traffic-growth-founders-marketing](), [traffic](), [typescript](), [web-development](), [website]() ### AI overview A guide to getting free website traffic in 2026 and moving from free acquisition methods toward paid growth. ### Source excerpt ree SaaS directories to submit for free 2026, Reddit marketing for startups without ads, Hacker News Show HN launch guide, Dev.to article distribution for deve... ## Using 10 Claude Skills to Run an Online Content Website DevFeed: [Using 10 Claude Skills to Run an Online Content Website]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-09T10:43:29Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [Claude](), [Website]() Tags: [ai](), [backend](), [blockchain](), [claude](), [claude-skills](), [coding](), [development](), [founderos](), [founderos-claude-claude-skills-gpt-ai](), [frontend](), [gpt](), [i-gave-claude-10-plus-saas-growth-skills-and-let-it-run-my-own-platform](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [skills](), [typescript](), [web-development]() ### AI overview The article describes using 10 Claude Skills to run an online content website. ### Source excerpt Run entire online content website using 10 Claude Skills ## Client-Side SDK Generation with VMware Cloud Foundation OpenAPI Specs DevFeed: [Client-Side SDK Generation with VMware Cloud Foundation OpenAPI Specs]() Original publisher: [Read original article]() Author: vmwareblogs Published: 2026-09-07T09:38:44Z Content type: tutorial Language: en Sources: [VMware Blogs]() Topics: [OpenAPI Specification](), [SDKs](), [.NET](), [C#](), [developer tooling](), [Java](), [Python](), [PowerShell]() Tags: [apis](), [cli](), [cloud](), [cloud-infrastructure](), [csharp](), [developer](), [developer-tooling](), [docker](), [home-page](), [java](), [net](), [openapi](), [powershell](), [programming](), [programming-language](), [python](), [rest](), [rest-api](), [sdk](), [specifications](), [vcf-9-0](), [vcf-9-1](), [vcf-sdk]() ### AI overview This guide explains how to generate a strongly typed .NET C# client SDK from VMware Cloud Foundation and vSphere OpenAPI specifications. It covers OpenAPI Generator, installation options, large specification handling, API-surface scoping, and the REST and JSON-RPC interfaces targeted by the example. ### Source excerpt Starting with VMware Cloud Foundation (VCF) 9.0, VMware officially publishes OpenAPI specifications for VCF APIs. This is a major milestone for developers, enabling you to consume VCF APIs using your programming language of choice. VMware provides first-class developer tooling such as VCF PowerCLI for PowerShell users and the VCF SDK offering Java and Python bindings. ... Continued The post Client-Side SDK Generation with VMware Cloud Foundation OpenAPI Specs appeared first on VMware Blogs. ## Pair Programming With Your AI Agent DevFeed: [Pair Programming With Your AI Agent]() Original publisher: [Read original article]() Author: blundell Published: 2026-09-06T21:50:09Z Content type: tutorial Language: en Sources: [Blundell]() Topics: [AI Agent](), [Local AI](), [Programming](), [Command-line interface]() Tags: [agent](), [ai](), [ai-agent](), [androiddev](), [antigravity](), [cli](), [gemini](), [geminicli](), [intermediate](), [intermediate-reference-ai-androiddev-gemini-geminicli-pairing](), [pair](), [pairing](), [programming](), [reference](), [terminal]() ### AI overview This tutorial presents sessions with a local AI agent as pair programming and maps four classic pairing styles--unstructured, Driver/Navigator, Strong-Style Pairing, and Ping Pong--to AI-assisted development. It uses Antigravity CLI for examples while noting that the approach is not specific to that tool. ### Source excerpt This post explains how to treat a session with a local AI agent as a pair programming session, and how the four classic pairing styles map onto working with one. I'll use Antigravity CLI for the concrete examples, though nothing here is specific to it. Swap in whichever agent sits in your terminal. The idea [...] The post Pair Programming With Your AI Agent first appeared on Blundell. ## AI programming: a layered model DevFeed: [AI programming: a layered model]() Original publisher: [Read original article]() Author: Daniel Lemire Published: 2026-09-05T14:02:12Z Content type: opinion Language: en Sources: [Daniel Lemire]() Topics: [AI-assisted coding](), [Vibe coding](), [Programming](), [Software]() Tags: [ai](), [ai-assisted-coding](), [code](), [programming](), [software](), [vibe-coding]() ### AI overview This opinion proposes a layered model for AI-assisted coding: maintain a small, deliberately managed core whose code is read and tested, while allowing outer layers to change rapidly and absorb bugs. Dependencies should flow inward, with outer layers depending on the core but not vice versa. ### Source excerpt In the late 1960s and 1970s, people like David Parnas faced a problem. A decade earlier there were almost no programmers. Suddenly there were hordes of inexperienced ones. What could have been a golden era was turning into a mess: far more software, much of it falling apart. It sent Edsger Dijkstra into a ... Continue reading AI programming: a layered model [Next page]()