# Core Published articles for Core. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Ubuntu 26.10 Set To Deliver Better Performance For Intel Core 3 Wildcat Lake DevFeed: [Ubuntu 26.10 Set To Deliver Better Performance For Intel Core 3 Wildcat Lake]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-15T15:34:07Z Content type: comparison Language: en Sources: [Phoronix]() Topics: [Ubuntu](), [Intel Core](), [intel](), [Hardware](), [Linux](), [SOC]() Tags: [comparison](), [core](), [desktop-linux](), [graphics](), [hardware](), [intel-core](), [kernel](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [nvme](), [open-source-graphics](), [performance](), [phoronix](), [phoronix-test-suite](), [release](), [soc](), [software](), [ubuntu](), [ubuntu-benchmarks](), [ubuntu-hardware](), [updates](), [upgrade](), [upgrades](), [wildcat-lake]() ### AI overview The article compares Ubuntu 26.04 LTS with Ubuntu 26.10 in development on a CHUWI UniBook equipped with an Intel Core 3 304 SoC, 8GB of RAM, and a 256GB NVMe SSD. It reports that Ubuntu 26.10's newer Linux kernel, Mesa graphics stack, and other software upgrades are expected to improve performance on Intel Wildcat Lake hardware. ### Source excerpt While Ubuntu 26.04 LTS is working fine out-of-the-box on new Intel Core 3 "Wildcat Lake" laptops like the CHUWI UniBook, next month's release of Ubuntu 26.10 will help deliver better performance out of these low-cost laptop options. ## Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI DevFeed: [Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI]() Original publisher: [Read original article]() Author: Debashis Das Published: 2026-09-15T09:00:06Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Microcontrollers](), [Embedded Systems](), [Microcontroller](), [cpu](), [Internet of things](), [Artificial Intelligence](), [SDK]() Tags: [802-15-4](), [ai](), [alif](), [ble](), [camera](), [core](), [debugger](), [development-board](), [devkit](), [edge](), [edge-ai](), [embedded-systems](), [hardware](), [i2c](), [iot](), [led](), [low-power](), [mcu](), [microcontrollers](), [mikrobus](), [open-source](), [sensor](), [specifications](), [testing](), [zephyr](), [zephyr-os]() ### AI overview Alif Semiconductor's Balletto B1 and Ensemble E1C StartKits are low-cost development boards built around Cortex-M55 microcontrollers with Ethos-U55 NPUs. The Balletto B1 adds BLE 5.3 and 802.15.4 connectivity, while both boards include camera, audio, sensor expansion, debugging, and power-measurement features. ### Source excerpt Alif Semiconductor's Ensemble E1C (SK-E1C) and Balletto B1 (SK-B1) StartKits are low-cost development boards built around the company's Cortex-M55 + Ethos-U55 microcontrollers. The Balletto B1 adds BLE 5.3 and 802.15.4 wireless connectivity, while the Ensemble E1C does not have built-in wireless connectivity. Both StartKits feature a microcontroller with a 160MHz Cortex-M55 CPU, an Ethos-U55 NPU, 2MB SRAM, and 1.8/1.9MB NVM. They also include an Arducam camera header, a mikroBUS Click Board expansion socket, and two PDM microphones for camera, audio, and sensor-based projects. The Balletto B1 additionally provides the complete RF path to a chip antenna for its wireless subsystem, while both boards feature an on-board Segger J-Link debugger for development and testing. Alif Semiconductor StartKit (SK-B1 and SK-E1C) specifications: MCU SK-E1C - Alif Semiconductor Ensemble E1C SK-B1 - Alif Semiconductor Balletto B1 CPU - Arm Cortex-M55 core with Helium-M Vector Extension @ up to 160 MHz NPU - Arm [...] The post Alif Semi Balletto B1 and Ensemble E1C StartKits feature Cortex-M55 + Ethos-U55 MCU for IoT and Edge AI appeared first on CNX Software - Embedded Systems News. ## GNU Coreutils 9.12 Released With Performance Optimizations, New uname Option DevFeed: [GNU Coreutils 9.12 Released With Performance Optimizations, New uname Option]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-14T17:45:05Z Content type: news Language: en Sources: [Phoronix]() Topics: [systems](), [Filesystems](), [Optimization](), [bug](), [chmod](), [ls]() Tags: [bug](), [chmod](), [core](), [desktop-linux](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [ls](), [open-source-graphics](), [optimization](), [performance](), [phoronix](), [phoronix-test-suite](), [release](), [systems](), [ubuntu-benchmarks](), [ubuntu-hardware]() ### AI overview GNU Coreutils 9.12 fixes recursive traversal failures when files are removed concurrently, adds FailFS and NULLFS support to stat and tail, and introduces new uname labeling options. It also improves performance in cut, uniq, and sort, adds a copy fallback for cp, install, and mv, and includes additional bug fixes and warnings. ### Source excerpt GNU Coreutils 9.12 released today with a mix of fixes, some new options, and various performance improvements to these widely-used set of core system utilities... ## IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 DevFeed: [IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-11T16:25:47Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [ibm](), [Quantum Computing](), [Supercomputing](), [Cloud](), [Algorithms](), [Optimization](), [Simulation and Design](), [Hardware]() Tags: [2026](), [ai](), [algorithms](), [amd](), [chemistry](), [cloud](), [collaboration](), [core](), [enterprise](), [financial-services](), [hardware](), [hub](), [ibm](), [infrastructure](), [manufacturing](), [optimization](), [processors](), [quantum](), [quantum-computing](), [science](), [simulation](), [supercomputing]() ### AI overview IBM and Lockheed Martin are establishing a quantum innovation hub at ETH Zurich, centered on an IBM Quantum System Two planned for installation at the Swiss National Supercomputing Centre by the end of 2026. The system will use IBM's 120-qubit Nighthawk r2 processor and support research in areas including chemistry, materials science, optimization, and financial services. ### Source excerpt IBM and Lockheed Martin are setting up a quantum innovation hub at ETH Zurich, and its core is Switzerland's first IBM Quantum System Two, to be installed at the Swiss National Supercomputing Centre (CSCS) in Lugano by the end of 2026. The hub comes out of an offset agreement with armasuisse, Switzerland's Federal Office for The post IBM Quantum System Two Heads to Switzerland: 120-Qubit Nighthawk r2 at CSCS by End of 2026 appeared first on StorageReview.com. ## Arm Neoverse CSS N4 Launched for Next-Gen CPUs and DPUs DevFeed: [Arm Neoverse CSS N4 Launched for Next-Gen CPUs and DPUs]() Original publisher: [Read original article]() Author: Cliff Robinson Published: 2026-09-09T17:10:12Z Content type: news Language: en Sources: [ServeTheHome]() Topics: [Arm](), [cpu](), [datacenter]() Tags: [architecture](), [arm](), [armv9](), [compute](), [connectivity](), [core](), [cpu](), [ddr5](), [memory](), [mesh](), [neoverse](), [neoverse-css](), [neoverse-n4](), [pcie](), [server](), [server-cpus]() ### AI overview Arm announced the Neoverse CSS N4 compute subsystem for future server CPUs and DPUs. The 3nm design supports 8 to 128 cores per die, Armv9.3, PCIe Gen7, LPDDR6, DDR5, MRDIMMs, and chiplet connectivity. ### Source excerpt The new Arm Neoverse CSS N4 IP is out so companies can quickly build next-generation power-efficient PCIe Gen7 CPUs The post Arm Neoverse CSS N4 Launched for Next-Gen CPUs and DPUs appeared first on ServeTheHome. ## OpenTrailPaper transforms LILYGO T5 E-Paper S3 Pro devkit into a DIY e-paper bike computer DevFeed: [OpenTrailPaper transforms LILYGO T5 E-Paper S3 Pro devkit into a DIY e-paper bike computer]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-05T08:01:22Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [ESP32-S3](), [Open Source](), [Android](), [iOS](), [Bluetooth](), [ESP-IDF](), [GitHub](), [JavaScript](), [Python](), [web browser]() Tags: [android](), [bluetooth](), [browser](), [core](), [display](), [diy](), [e-ink](), [e-paper](), [epaper](), [esp-idf](), [esp32](), [esp32-s3](), [espressif](), [firmware](), [github](), [gps](), [hardware](), [ios](), [javascript](), [lilygo](), [lora](), [open-source](), [python]() ### AI overview OpenTrailPaper is an open-source DIY e-paper bike computer project for the LILYGO T5 E-Paper S3 Pro, using ESP32-S3 firmware alongside Android and iOS companion apps. It supports ride data, offline maps, GPX routes, FIT file recording, and Bluetooth sensor connections. ### Source excerpt OpenTrailPaper is an open-source, DIY e-paper bike computer project comprised of firmware for the ESP32-S3-based T5 E-Paper S3 Pro devkit and Android and iOS companion apps for maps, routes, and settings. It shows ride data and offline maps, follows standard GPX (GPS Exchange Format) routes, records FIT (Flexible and Interoperable Data Transfer used in Garmin devices) files, and connects to Bluetooth (and soon ANT/ANT+) heart rate, power, and cadence sensors. Before looking into the project's details, let's check out the LILYGO T5 E-Paper S3 Pro specifications: ESP32-S3-WROOM-1 wireless module SoC - ESP32-S3N16R8 dual-core Tensilica LX7 microcontroller @ up to 240 MHz with 2.4 GHz 802.11n WiFi 4 and Bluetooth 5.0 LE connectivity Memory - 8MB PSRAM Storage - 16MB SPI flash PCB antenna Storage - MicroSD card slot Display - 4.7-inch e-Paper display with 960x540 resolution, 16 shades of gray, capacitive touch (GT911); ED047TC1 drive IC Wireless 2.4 GHz 802.11n [...] The post OpenTrailPaper transforms LILYGO T5 E-Paper S3 Pro devkit into a DIY e-paper bike computer appeared first on CNX Software - Embedded Systems News. ## Home Assistant 2026.9 adds Modbus device integrations, Cloud voice processing, and Matter network mapping DevFeed: [Home Assistant 2026.9 adds Modbus device integrations, Cloud voice processing, and Matter network mapping]() Original publisher: [Read original article]() Author: Franck Nijhof Published: 2026-09-02T00:00:00Z Content type: release Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [Release notes](), [Modbus](), [Cloud](), [Matter](), [asr]() Tags: [cloud](), [core](), [home-assistant](), [matter](), [modbus](), [release](), [release-notes](), [security](), [speech](), [ui]() ### AI overview Home Assistant 2026.9 introduces Modbus integrations that can share a connection, new Cloud voice processing focused on speech-to-text, Security dashboard alerts and favorites, shared sources for History and Activity, a Matter network map, keyboard and sound navigation for charts, and 13 new integrations. ### Source excerpt Home Assistant 2026.9! 🎉 I'll be honest: Modbus has never been the flashiest part of Home Assistant. It quietly powers solar inverters, heat pumps, and energy meters, but only if you're comfortable hand-writing your own register map in YAML, a real wall that's kept a huge category of devices out of reach. This release finally makes room on the bus: integrations that already know how a device talks over Modbus, sharing a single connection instead of fighting over it, so you simply pick your device in the UI like anything else in Home Assistant. It won't show up in a screenshot, but modernizing Modbus is hands-down my favorite change this release. 🔧 I'm also really looking forward to jumping on the new Cloud voice processing myself and putting it through its paces. We're a household with a non-English main language, and if you've ever run a private voice assistant in one, you know exactly how fast accents and background noise trip things up. This new speech-to-text engine specifically targets those pain points, so I'm very curious to see how it holds up against my own accent. 😉 And there's plenty more: active alerts and favorites for the Security dashboard, a shared Sources panel for History and Activity, Activity that finally explains why something changed, a brand new network map for Matter, charts you can now navigate by keyboard and sound, and 13 new integrations! 🚀 One more thing before you dive in: we're at IFA Berlin this weekend! It's one of the largest consumer electronics expos out there, running September 4 to 8, 2026, and the Open Home Foundation has its own booth in the Smart Home hall: Hall 1.2, stand 1.2-153. If you're around, come find us and say hi. 👋 Enjoy the release! ../Frenck Home Assistant Cloud Seeing through the Cloud Test the new voice processing Float in to be a Cloud subscriber Active alerts and favorites for the Security dashboard A new Sources pane for History and Activity From what changed to why it changed Insights into your Matter world ## ArmSoM Sige6 Allwinner A733 SBC features up to 128GB soldered-on eMMC flash, 16GB LPDDR5 DevFeed: [ArmSoM Sige6 Allwinner A733 SBC features up to 128GB soldered-on eMMC flash, 16GB LPDDR5]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-01T06:41:00Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Embedded Systems](), [SOC](), [cpu](), [GPU](), [RISC-V](), [real-time](), [Artificial Intelligence](), [wifi 6](), [Linux](), [Android]() Tags: [allwinner](), [allwinner-a-series](), [android](), [android-13](), [armbian](), [banana-pi](), [bluetooth](), [core](), [cortex-a55](), [cpu](), [debian](), [embedded-systems](), [gigabit-ethernet](), [gpu](), [hardware](), [hdmi](), [linux](), [npu](), [real-time](), [risc-v](), [single-board-computer](), [usb](), [wifi-6]() ### AI overview The ArmSoM Sige6 is a credit-card-sized single-board computer based on the Allwinner A733-HN3 SoC. It offers up to 16GB of LPDDR5 memory and 128GB of soldered eMMC storage, along with PCIe, Gigabit Ethernet, Wi-Fi 6, Bluetooth 5.4, display and camera interfaces, USB ports, and a 40-pin expansion header. ### Source excerpt ArmSoM Sige6 is yet another SBC powered by the Allwinner A733 octa-core SoC, offered in a credit card form factor with up to 128GB soldered-on eMMC flash and up to 16GB LPDDR5. The single board computer features a microSD card slot and an M.2 M-key PCIe 3.0 x2 slot for storage, Gigabit Ethernet (with optional PoE), WiFi 6, and Bluetooth 5.4 connectivity, HDMI 2.0 and MIPI DSI display interfaces, a MIPI CSI camera interface, USB 3.0/2.0 ports, a 3.5mm audio jack, a 40-pin GPIO header, and more. ArmSom Sige6 specifications: SoC - Allwinner A733-HN3 CPU Dual-core Arm Cortex-A76 @ up to 2.00 GHz Hexa-core Arm Cortex-A55 @ up to 1.80 GHz Single-core RISC-V E902 real-time core GPU - Imagination Technologies BXM-4-64 MC1 GPU with support for OpenGL ES 3.2, Vulkan 1.3, and OpenCL 3.0 VPU 4Kp60/8Kp24 H.265/VP9/AVS2 decoding, 4Kp30 H.264 decoding 4Kp30 H.265/H.264 encoding AI accelerator - 3 TOPS NPU Process [...] The post ArmSoM Sige6 Allwinner A733 SBC features up to 128GB soldered-on eMMC flash, 16GB LPDDR5 appeared first on CNX Software - Embedded Systems News. ## Hot Chips 2026: Interviewing IBM's Christian Zoellin & Christian Jacobi DevFeed: [Hot Chips 2026: Interviewing IBM's Christian Zoellin & Christian Jacobi]() Original publisher: [Read original article]() Author: George Cozma Published: 2026-08-30T17:31:05Z Content type: article Language: en Sources: [Chips and Cheese]() Topics: [Arm](), [ibm](), [systems]() Tags: [2026](), [architecture](), [architectures](), [arm](), [core](), [decoding](), [ibm](), [interviewing](), [systems]() ### AI overview An interview with IBM engineers at Hot Chips 2026 discusses the company's next-generation z/Architecture processor, which supports both the z/Architecture and Arm instruction sets. The conversation covers its shared decode pipeline, separate instruction decoders, and handling of differing endianness in the load-store unit. ### Source excerpt Hello you fine Internet folks, ## Hot Chips 2026: XCENA and Samsung's Near-Memory Compute CXL Device DevFeed: [Hot Chips 2026: XCENA and Samsung's Near-Memory Compute CXL Device]() Original publisher: [Read original article]() Author: Chester Lam Published: 2026-08-30T07:25:37Z Content type: article Language: en Sources: [Chips and Cheese]() Topics: [samsung](), [ddr5](), [RISC-V](), [data](), [Cache](), [Arm](), [intel]() Tags: [2026](), [arm](), [cache](), [capacity](), [clusters](), [compute](), [core](), [ddr5](), [dram](), [intel](), [memory](), [parallel](), [pcie](), [performance](), [risc-v](), [samsung]() ### AI overview The article examines XCENA and Samsung's MX1, a CXL memory expansion device that can host up to 2 TB of DDR5 memory, connect SSDs, and provide onboard compute through 3,072 RISC-V cores. It describes the device's memory bandwidth, cache hierarchy, power use, and focus on data-parallel workloads. ### Source excerpt CXL memory expansion, with a side of compute ## Hot Chips 2026: Intel's Wildcat Lake DevFeed: [Hot Chips 2026: Intel's Wildcat Lake]() Original publisher: [Read original article]() Author: Chester Lam Published: 2026-08-24T19:50:30Z Content type: article Language: en Sources: [Chips and Cheese]() Topics: [intel](), [cpu](), [GPU](), [SOC](), [Bluetooth]() Tags: [2026](), [architecture](), [battery](), [bluetooth](), [core](), [cost](), [cpu](), [gpu](), [intel](), [platform](), [processors](), [soc](), [technologies](), [technology](), [wifi](), [wildcat-lake]() ### AI overview This article examines how Intel designed Wildcat Lake, also called Core Series 3, as a lower-cost mobile processor platform. It describes the use of new CPU cores, Xe3 graphics, IO, a multi-chip package, a distinct platform, and selected feature trade-offs to reduce costs while retaining capabilities important to battery life and connectivity. ### Source excerpt All about making things affordable ## 2026.8: Approachable by design DevFeed: [2026.8: Approachable by design]() Original publisher: [Read original article]() Author: Ashley Abbott Published: 2026-08-05T00:00:00Z Content type: release Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [releases](), [Operating system](), [YAML](), [Cloud](), [Template]() Tags: [2026](), [core](), [esphome](), [live-stream](), [os](), [release-notes](), [releases](), [smart-home](), [youtube]() ### AI overview Home Assistant 2026.8 is a release focused on making the platform more approachable for users without technical expertise. It introduces improvements to installation, configuration, device handling, cloud exploration, entity IDs, templates, triggers, conditions, media search, and integrations. ### Source excerpt Tip Don't forget to join our release party live stream on YouTube on August 5, 2026, at 20:00 GMT / 12:00 PT / 21:00 CET! Tip There's more to look forward to next week: the ESPHome Starter Kit is launching, and you're invited to the official launch party! 🚀 Join the ESPHome team and their partners at Apollo Automation on the ESPHome YouTube channel on August 12 at 21:00 CEST. Familiar faces are dropping by to celebrate lift-off, too: Reed from Smart Home Solver, Simon from Simon Says Home Assistant, and Gavin from HomeTech.fm. Home Assistant 2026.8! 🎉 Hi, I'm Ashley, the Technical Program Manager at the Open Home Foundation. With Frenck taking a well-deserved break, Bram and I are teaming up to handle things this time around. We have been working on a lot over the past few weeks, and I'm excited to share some of what we have done for this release! If there's one thread tying this release together, it's a direction we care about: making Home Assistant something you don't need to be technical to use. This release is another step along that path. Enjoy the release! - Ashley Making Home Assistant more approachable The same Home Assistant, minus the magic number Your current setup keeps working Want to change the port? We've got you covered What this means for YAML Less "advanced", more approachable Describing the feature, not the user Just Tools, no developer required Home Assistant Cloud, now easier to explore Your entity IDs, your choice A cleaner way to handle your devices We can't stop adding triggers and conditions Integrations New integrations Noteworthy improvements to existing integrations Integration quality scale achievements Now available to set up from the UI Farewell to the following Other noteworthy changes Tell us how setup went A roomier template editor Taps that land where you mean them A combined battery level you can trust Search your media Find your favorite cards faster Z-Wave lock credentials, properly managed And a few more Patch releases 2026.8.1 ## Arm's Cortex A55 DevFeed: [Arm's Cortex A55]() Original publisher: [Read original article]() Author: Chester Lam Published: 2026-08-02T22:02:44Z Content type: article Language: en Sources: [Chips and Cheese]() Topics: [Arm](), [Front end](), [Cache](), [Neural Network]() Tags: [arm](), [cache](), [core](), [cortex-a55](), [devices](), [efficiency](), [floating-point](), [frontend](), [linux](), [memory](), [neural](), [performance]() ### AI overview A technical analysis of Arm's Cortex A55 examines its microarchitecture, including its in-order pipelines, frontend, memory subsystem, branch prediction, and implementations in the MediaTek Genio 1200 and other devices. ### Source excerpt Arm's 5-series cores are meant for tasks where performance barely matters, but power and area efficiency are top priorities. ## Bluetooth Support Across Every Codename One Target DevFeed: [Bluetooth Support Across Every Codename One Target]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-07-26T00:00:00Z Content type: article Language: en Sources: [CodeName One]() Topics: [Bluetooth](), [API](), [simulator](), [Web](), [JavaScript]() Tags: [api](), [ble](), [bluetooth](), [browser](), [chrome](), [core](), [desktop](), [hardware](), [javascript](), [permission](), [platform](), [protocol](), [simulator](), [tests](), [web]() ### AI overview Codename One's core Bluetooth API adds cross-target support for BLE, GATT, L2CAP, classic RFCOMM, Web Bluetooth, and a scriptable simulator. The API exposes platform capabilities and limits, while the implementation handles queued GATT operations and callback timeouts. ### Source excerpt The core Bluetooth API covers BLE, GATT, L2CAP, classic RFCOMM, Web Bluetooth, and a scriptable simulator while exposing each platform's limits. ## Benchmarking memory-level parallelism across AMD, Intel, and Graviton processors DevFeed: [Benchmarking memory-level parallelism across AMD, Intel, and Graviton processors]() Original publisher: [Read original article]() Author: Daniel Lemire Published: 2026-07-25T15:07:52Z Content type: article Language: en Sources: [Daniel Lemire]() Topics: [cpu](), [Latency](), [Cache](), [Benchmark](), [Intel Core](), [Graviton]() Tags: [benchmark](), [core](), [cycles](), [graviton](), [intel](), [intel-core](), [latency](), [memory](), [performance]() ### AI overview This article explains memory-level parallelism, the number of memory requests a processor core can keep in flight, and measures it with a pointer-chasing benchmark. Experiments on AWS compare how this capability evolved across Intel, AMD, and Graviton processors; the supplied evidence reports AMD reaching 58 concurrent cache lines on Turin. ### Source excerpt When your program asks for memory that is not in cache, the processor has to go to RAM. That trip costs on the order of 100 nanoseconds. On a 3 GHz core, that is about 300 cycles of doing nothing. Memory latency has not improved in ten years. The 2016 Broadwell answers a random access ... Continue reading Memory-level parallelism: AMD is the king ## 2026.7: Automations that speak your language DevFeed: [2026.7: Automations that speak your language]() Original publisher: [Read original article]() Author: Franck Nijhof Published: 2026-07-01T00:00:00Z Content type: release Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [Automation](), [YAML](), [releases](), [User interface design]() Tags: [2026](), [automation](), [community](), [complexity](), [core](), [documentation](), [examples](), [release](), [release-notes](), [ui](), [zigbee]() ### AI overview Home Assistant 2026.7 makes purpose-specific automation triggers and conditions the default, aiming to provide more power with less complexity through both the user interface and YAML. The release also rebuilds Activity into a timeline, adds update-all and infrared/radio-frequency panels, improves ZHA Zigbee device management, and introduces 10 community integrations. ### Source excerpt Tip Don't forget to join our release party live stream on YouTube on July 1, 2026, at 20:00 GMT / 12:00 PT / 21:00 CET! Home Assistant 2026.7! 🎉 This is one of those releases I've been looking forward to for a long time. My favorite by far is what we've done with automations. Purpose-specific triggers and conditions graduate from Labs and become the new default for everyone. 🎉 It comes down to something we've been chasing for years: more power, less complexity. Instead of starting from Home Assistant's internals, which entity, which state, which kind of trigger, you start from what you actually want your home to do. When the bedroom drops below 18°C, turn on the heating. That's it. No technical traps, no quirks to memorize. And because integrations can teach the automation engine their own triggers and conditions, it only gets better from here. All of it right there in our beautiful user interface. The nice thing is, nothing breaks. All your existing automations keep working, worry-free. We've also written tons of great documentation explaining every single trigger, condition, and action, with examples to learn from. And if you're one of those people who prefers writing automations in YAML instead of the UI, you're in for an amazing experience too. User experience is not a synonym for "the UI". YAML users deserve good user experience too. But honestly? I've got a second favorite this release, and that surprised me a little. Activity, what many of you still know as the logbook, has been rebuilt into a slick and clean timeline. 😍 It reads top to bottom like a feed, groups entries by day, and finally speaks the same language as the rest of Home Assistant. I keep opening it just to look at it. And that's just the start. There's a new update-all button, dedicated panels for infrared and radio frequency, an overhauled ZHA Zigbee device management, and 10 new integrations from our community. One more thing before you dive in: the Open Home Foundation is exhibiting at IFA B ## Native Java Win32, 3D Gaming, Printing and Wallet DevFeed: [Native Java Win32, 3D Gaming, Printing and Wallet]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-06-12T00:00:00Z Content type: release Language: en Sources: [CodeName One]() Topics: [Windows](), [3D graphics](), [Game Development](), [cross-platform](), [API](), [GPU](), [WebGL](), [OpenGL]() Tags: [3d-graphics](), [api](), [core](), [cross-platform](), [game-development](), [gpu](), [graphics](), [java](), [webgl](), [win32]() ### AI overview Codename One version 7.0.251 adds native Windows executables without a JVM, a portable GPU-accelerated 3D graphics API, a game development API with Box2D physics, cross-platform printing, and Apple Wallet support. The 3D API targets Metal, OpenGL ES, WebGL, Direct3D 11, and a simulator rasterizer from shared Java code. ### Source excerpt This week brings native Windows executables with no JVM, a portable 3D graphics API, a gaming API with Box2D physics, cross-platform printing, and Apple Wallet support, in what is probably our biggest update ever. ## Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Chapter 5: Implementation DevFeed: [Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Chapter 5: Implementation]() Original publisher: [Read original article]() Author: Montgomery Singman Published: 2026-06-09T03:26:13Z Content type: tutorial Language: en Sources: [UX Magazine]() Topics: [implementation](), [User experience (UX)](), [App]() Tags: [app](), [building](), [complex-systems](), [core](), [creative](), [design](), [expression](), [games](), [implementation](), [interface](), [leaderboard](), [loops](), [management](), [multiplayer](), [puzzle](), [rpg](), [sandbox](), [simulation](), [strategy](), [ux]() ### AI overview This chapter presents a practical framework for implementing Gamification 2.0. It recommends choosing a dominant game genre that matches an app's core activities, aligning that genre with user psychology, and designing satisfying intrinsic interaction loops before adding points, badges, or other extrinsic rewards. ### Source excerpt Part 5 of the "Gamification Series." A framework for developers: from theory to practice Everything I've outlined so far is meaningless if you can't apply it. So let me give you a practical framework for actually implementing Gamification 2.0. Step 1: Stop copying mechanics; choose a genre Your first question isn't "What gamification mechanics should The post Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Chapter 5: Implementation appeared first on UX Magazine. ## 2026.6: Pick a card, any card DevFeed: [2026.6: Pick a card, any card]() Original publisher: [Read original article]() Author: Franck Nijhof Published: 2026-06-03T00:00:00Z Content type: release Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [dashboards](), [Automation](), [dialog](), [Matter]() Tags: [2026](), [apps](), [automation](), [core](), [custom-dashboard](), [dialog](), [features](), [integrations](), [matter](), [release](), [release-notes]() ### AI overview Home Assistant 2026.6 introduces a new card picker that recommends dashboard cards based on the device or entity users want to display, with live previews using their data. The release also adds zone triggers and conditions, live condition-test indicators, target counts, step notes, new tile card features, improved smart-lock support, a friendlier Apps page, and additional community integrations. ### Source excerpt Home Assistant 2026.6! 🎉 I'm going to put my hand up right away: ✋ I am not a dashboard person. Not because I don't like them; I love seeing what you all build. But designing a beautiful one is a kind of visual creativity I just don't have. That's a big part of why I love the built-in Home dashboard so much, it does the designing for me. But when I do build a custom dashboard, I usually stare at that "add a card" dialog for way too long, picking cards almost at random just to see if they look good with the data I have. So you can imagine my excitement for my personal favorite of this release: the new card picker. Instead of asking "which card type do I want?", it now asks "which thing in your home do you want to show?", and then suggests cards that actually make sense for it, with live previews using your own data. For someone like me, that's not just easier; it's genuinely inspiring. It nudges me towards combinations I would not have thought of on my own. 💡 This fits into a bigger direction I keep getting more excited about: Home Assistant getting better at starting from the thing you want to do, instead of asking you to first learn the building blocks. The same idea is what makes purpose-specific triggers and conditions in Home Assistant Labs feel so right, and this release brings them a big step closer to graduating out of Labs with brand new zone triggers and conditions. 📍 A close second favorite for me this release is everything happening around that in the automation editor: live test indicators on your conditions, target counts on every device, area, floor, and label, and proper notes you can attach to any step. Individually they are small quality-of-life touches; together, they make building automations feel a whole lot more transparent. ✨ And there is plenty more to love in this release: new tile card features, Z-Wave smart locks catching up with their Matter siblings, a friendlier Apps page, and another big batch of new integrations from our community. 🚀 E ## Incremental Maintenance DevFeed: [Incremental Maintenance]() Original publisher: [Read original article]() Published: 2026-05-14T01:53:09Z Content type: opinion Language: en Sources: [Blogs on Ryan Harter]() Topics: [maintenance](), [Dependency injection](), [implementation](), [screen](), [App]() Tags: [core](), [dependencies](), [dependency-injection](), [incremental](), [maintenance](), [patterns](), [product](), [screen]() ### AI overview An opinion article about incremental maintenance in a large, aging application. It argues that small refactoring choices can reduce entrenched patterns, using dependency injection to keep feature-gating details out of a monolithic tab-host screen. ### Source excerpt I recently reviewed some code at work that made me pause. The change affected a part of the codebase that we affectionately call "The Monolith", which is some of the oldest code in our 16 year old app. While there are reasonable arguments that it's hard to tease apart this older hairball of code, there are often small choices that can either move you closer to the decoupled promised land, or further entrench you in bad patterns. ## 2026.5: We're on the same frequency now 📡 DevFeed: [2026.5: We're on the same frequency now 📡]() Original publisher: [Read original article]() Author: Franck Nijhof Published: 2026-05-06T00:00:00Z Content type: release Language: en Sources: [Home Assistant]() Topics: [Home Assistant](), [GitHub](), [Code](), [Discord]() Tags: [2026](), [building](), [core](), [devices](), [discord](), [documentation](), [github](), [integrations](), [platform](), [radio](), [release](), [release-notes](), [rf]() ### AI overview Home Assistant 2026.5 highlights open development, including a public roadmap and broader community participation. The release also introduces native radio-frequency device support and substantially reworked templating documentation. ### Source excerpt Home Assistant 2026.5! 🎉 What a few weeks it has been! Earlier this month, we hosted State of the Open Home 2026 live in Utrecht, the Netherlands. A big chunk of that day was dedicated to something we deeply care about: building in the open, and how we're going to take that even further from here on out. 💙 Building in the open isn't just about source code on GitHub. It's about doing the planning, the decision-making, and the prioritizing out where everyone can see it, follow along, and join in. And "joining in" doesn't mean you have to write a single line of code or even consider yourself technical. Sharing how you use Home Assistant, telling us what frustrates you, what you wish existed, voting on ideas, helping a fellow user on the forums or Discord, translating, writing documentation, or simply leaving a thoughtful comment on a roadmap item: it all counts, and it all shapes where this project goes next. 🤝 A great first step in that direction also went live this month: our roadmap is now public. You can go browse it, see what we're working on, what's next, and (most importantly) comment on it, share your thoughts, and help shape it. We talked about all of this, and a lot more, on stage. So if you weren't able to join us live, please go watch the recording. It is genuinely worth your time, and it's the best invitation I can give you to come build the Open Home with us. 🗺 Now, on to this release. My personal favorite this month is maybe a bit unexpected, considering it sits all the way at the end of this post: the completely reworked templating documentation. I know, I know, "documentation" doesn't exactly scream headline feature. But hear me out: making Home Assistant more approachable is one of our biggest missions this year, and darn good documentation is a big part of that. We've expanded our documentation team and are investing heavily in this, and the new templating docs are the very first taste of what's to come. I'm really proud of where this is heading. 📚 ## Little's Law in practice with Cloud Topics DevFeed: [Little's Law in practice with Cloud Topics]() Original publisher: [Read original article]() Author: Noah Watkins Published: 2026-05-05T00:00:00Z Content type: article Language: en Sources: [Redpanda]() Topics: [Cloud](), [cloud-infrastructure](), [Latency](), [Low Latency](), [systems](), [Replication](), [IO](), [Seastar](), [C++](), [Kafka](), [cpu](), [Caching]() Tags: [c-plus-plus](), [cache](), [cloud](), [core](), [cpu](), [engineering](), [kafka](), [latency](), [low-latency](), [replication](), [seastar](), [storage](), [systems]() ### AI overview The article examines how Cloud Topics reintroduced high-latency I/O through inexpensive cloud object storage, exposing an old bottleneck in Redpanda's write pipeline. It explains Redpanda's thread-per-core architecture, replication and pipelined request processing, and how shifting storage bottlenecks affected performance. ### Source excerpt From spinning disks to CPUs to cloud object storage, shifting bottlenecks have shaped Redpanda's architecture. Here's what Cloud Topics revealed about today's demand for high-latency storage. ## Announcing Cohort 7 of the Ethereum Protocol Fellowship DevFeed: [Announcing Cohort 7 of the Ethereum Protocol Fellowship]() Original publisher: [Read original article]() Author: EF Protocol Support Published: 2026-04-30T00:00:00Z Content type: release Language: en Sources: [Ethereum Foundation Blog]() Topics: [Ethereum](), [Protocol (disambiguation)](), [Development](), [Open Source](), [Testing](), [GitHub]() Tags: [announce](), [applications](), [contributors](), [core](), [developers](), [development](), [ethereum](), [github](), [open-source](), [protocol](), [research-development]() ### AI overview Ethereum has opened applications for the seventh Ethereum Protocol Fellowship cohort. EPF7 will run from June through November, with a smaller cohort focused on protocol development, mentorship, testing, client implementations, specifications, and core protocol research. Applications are open until May 13, and an introductory town hall is scheduled for May 6 at 1500 UTC. ### Source excerpt TL;DR: 📝 Applications for EPF7 are open until May 13 🔎 Review the program details for EPF7 🎙 An introductory town hall will be held on May 6 at 1500 UTC We are excited to announce that applications are now open for the seventh cohort of the [Ethereum... ## White Label Payment Gateway: What It Is and Who Needs One DevFeed: [White Label Payment Gateway: What It Is and Who Needs One]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-04-13T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [Software as a service](), [API](), [Software](), [User experience (UX)]() Tags: [api](), [checkout](), [compliance](), [core](), [embedded-finance](), [gateway](), [integration](), [marketplaces](), [merchant-of-record](), [monetization](), [payment-gateway](), [payments](), [platforms](), [product](), [saas](), [ux]() ### AI overview This guide explains what a white label payment gateway is, which platforms may need one, what it does not solve, and how to evaluate branding, control, compliance, and integration tradeoffs. It distinguishes branded checkout and embedded payments from deeper payment facilitation and Merchant of Record requirements. ### Source excerpt Learn what a white label payment gateway is, when platforms need one, and how to evaluate branding, control, compliance, and integration tradeoffs. [Next page]()