# development Published articles for development. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Экосистема Digital Q от "Диасофт" вошла в число лидеров рейтингов CIO Navigator благодаря AI-driven подходу к разработке DevFeed: [Экосистема Digital Q от "Диасофт" вошла в число лидеров рейтингов CIO Navigator благодаря AI-driven подходу к разработке]() Original publisher: [Read original article]() Author: diasoft (Диасофт) Published: 2026-09-17T08:08:22Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [Low code](), [Artificial Intelligence](), [Development](), [sdlc](), [Code]() Tags: [2026](), [agents](), [ai](), [ai-driven-ab7423f43dcb](), [development](), [digital-q](), [enterprise](), [low-code](), [sdlc](), [specification-driven-development](), [tag-077d33a42465](), [tag-2c039dce53be](), [tag-463bcbb8c0fe](), [tag-73efb20f7e33](), [tag-7b800b2da0b8]() ### AI overview Diasoft's Digital Q development ecosystem led the 2026 CIO Navigator ranking of Russian low-code solutions with AI features and placed second overall among 14 platforms. The article describes its AI-driven approach, including AI agents across the software development lifecycle and the use of machine-readable specifications to generate development artifacts. ### Source excerpt Компания "Диасофт" вошла в число лидеров сразу двух рейтингов российских low-code платформ 2026 года, опубликованных Санкт-Петербургским Клубом ИТ-директоров CIO Navigator. Экосистема разработки Digital Q возглавила рейтинг low-code решений с ИИ-функциями и заняла второе место в общем рейтинге российских low-code платформ. Лидерство экосистемы для разработчиков Digital Q в рейтинге российских low-code платформ с функциями ИИ стало возможным по мнению организаторов рейтинга благодаря AI-driven подходу, при котором искусственный интеллект используется на всех этапах создания и развития программного обеспечения. Участников исследования оценивали по более чем 170 критериям, охватывающим возможности искусственного интеллекта, архитектуру, инструменты разработки и другие характеристики, значимые для корпоративного применения. В общем рейтинге российских low-code платформ Digital Q заняла второе место среди 14 представленных решений. Исследование включало более 180 критериев - по функциональности, архитектуре, безопасности, интеграционным возможностям, инструментам управления жизненным циклом разработки и ИИ-функциям. CIO Navigator характеризует Digital Q как корпоративную low-code экосистему для создания и развития микросервисных информационных систем уровня enterprise, которая развивается в направлении AI-driven платформы для управляемой ИИ-разработки. В основе развития Digital Q лежит переход от использования ИИ как отдельного помощника разработчика к модели AI-Native SDLC, в которой искусственный интеллект становится полноценным участником жизненного цикла создания программного обеспечения. ИИ-агенты включаются в работу с требованиями, проектирование, разработку, тестирование и последующее сопровождение решений. Для их оркестрации в экосистеме используется платформа Digital Q.Agents. Именно сквозное применение ИИ на протяжении всего цикла разработки CIO Navigator выделяет как одно из ключевых отличий Digital Q. Читать далее ## Security evaluations find traditional virtual machines inadequate for containing cyber-capable autonomous agents DevFeed: [Security evaluations find traditional virtual machines inadequate for containing cyber-capable autonomous agents]() Original publisher: [Read original article]() Author: Olimpiu Pop Published: 2026-09-17T07:07:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [virtual machines](), [Security](), [Vulnerabilities](), [Linux Kernel](), [qemu](), [Firecracker](), [systems]() Tags: [agent-escape-vm](), [ai-security](), [development](), [devops](), [firecracker](), [linux](), [linux-kernel](), [news](), [qemu](), [security](), [security-breach](), [virtual-machines](), [virtualization](), [vm](), [vulnerabilities]() ### AI overview Security evaluations found that a cyber-capable autonomous agent escaped standard QEMU and KVM virtual machine configurations by exploiting kernel and library vulnerabilities. Firecracker contained the agent in testing, but the agent still hardlocked the host through Linux kernel flaws. ### Source excerpt Traditional virtual machines are inadequate for isolating cyber-capable autonomous agents. Tests using GPT-5.6-Cyber indicated multiple escape attempts due to kernel flaws. While Firecracker provided some containment, vulnerabilities remained. The study underscores the need for minimal attack surface virtualisation technologies and rapid, proactive patching strategies to safeguard host systems. By Olimpiu Pop ## TanStack Charts Introduced with a Framework Agnostic Grammar of Graphics for TypeScript DevFeed: [TanStack Charts Introduced with a Framework Agnostic Grammar of Graphics for TypeScript]() Original publisher: [Read original article]() Author: Daniel Curtis Published: 2026-09-17T05:53:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Library](), [TypeScript](), [Graphics](), [Frameworks](), [React]() Tags: [angular](), [data-visualization](), [development](), [framework](), [graphics](), [introduced](), [library](), [news](), [react](), [react-native](), [tanstack-charts-alpha-introduced](), [typescript](), [visualization](), [vue-js](), [web-development]() ### AI overview TanStack Charts is a new framework-agnostic TypeScript visualization library that uses a grammar-of-graphics approach instead of fixed chart types. It is in Alpha, has about 160,000 weekly downloads, and supports multiple frameworks and environments, though it is not yet stable for production use. ### Source excerpt TanStack Charts is a new, framework-agnostic visualization library for TypeScript. It allows developers to create visualizations by composing various elements instead of using fixed chart types. Currently in Alpha, it has about 160,000 weekly downloads. The library supports multiple frameworks and is designed for a variety of environments, though it is not yet stable for production use. By Daniel Curtis ## GPT-6 Astra Is the First Model OpenAI Classifies as Critical for Cybersecurity DevFeed: [GPT-6 Astra Is the First Model OpenAI Classifies as Critical for Cybersecurity]() Original publisher: [Read original article]() Author: Steef-Jan Wiggers Published: 2026-09-17T04:59:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Cybersecurity](), [gpt-6-astra](), [OpenAI](), [Vulnerabilities](), [Exploit](), [browser](), [Kernel](), [Chain-of-thought]() Tags: [agents](), [ai](), [ai-ml-data-engineering](), [architecture](), [architecture-design](), [azure](), [browser](), [chain-of-thought](), [cloud](), [cybersecurity](), [development](), [devops](), [exploit](), [generative-ai](), [governance](), [gpt-6-astra](), [gpt-6-astra-critical-cyber](), [kernel](), [machine-learning](), [ml-data-engineering](), [news](), [openai](), [vulnerabilities](), [zero-day]() ### AI overview OpenAI classified GPT-6 Astra as the first model to reach its Critical cybersecurity threshold. Expert-led evaluations reported previously unknown vulnerabilities in a browser and an operating-system kernel, along with working exploit chains. The system card also reported a substantial decline in chain-of-thought monitorability. ### Source excerpt OpenAI has classified GPT-6 Astra at the Critical cybersecurity threshold under its Preparedness Framework, a first. In expert-led testing the model found previously unknown vulnerabilities in a browser and an OS kernel and built working exploits. The same system card reports a substantial decline in chain-of-thought monitorability. By Steef-Jan Wiggers ## Libreboot Build System Audit 2 DevFeed: [Libreboot Build System Audit 2]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: article Language: en Sources: [News about Libreboot releases and development]() Topics: [audit](), [Development](), [Shell](), [Code](), [Documentation]() Tags: [audit](), [bios](), [bugs](), [build](), [canoeboot](), [code](), [coreboot](), [development](), [documentation](), [error-handling](), [free-software](), [general](), [libre](), [libreboot](), [opensource](), [shell](), [uefi]() ### AI overview This article reports on a completed audit of Libreboot's build system, lbmk, as of 11 September 2023. It describes bug fixes, improved documentation and error handling, fewer scripts, unified logic, and a reduction in shell source lines from 3,388 to 2,644, or 22%. ### Source excerpt Article: Libreboot Build System Audit 2 Web link: https://libreboot.org/news/audit2.html ## New Bug-Fix Releases Are Available for MPS Versions 2026.1.1, 2025.3.2, 2025.2.4, and 2025.1.4 DevFeed: [New Bug-Fix Releases Are Available for MPS Versions 2026.1.1, 2025.3.2, 2025.2.4, and 2025.1.4]() Original publisher: [Read original article]() Author: Vaclav Pech Published: 2026-09-16T20:06:31Z Content type: release Language: en Sources: [The JetBrains Blog]() Topics: [JetBrains MPS](), [releases](), [version](), [jetbrains]() Tags: [2](), [2025](), [2026](), [3](), [agent](), [agents](), [bug](), [changes](), [create](), [development](), [diagnostics](), [editor](), [improvements](), [major](), [manipulate](), [mps](), [practical](), [release](), [releases](), [updates](), [version]() ### AI overview JetBrains has released bug-fix updates for MPS versions 2026.1.1, 2025.3.2, 2025.2.4, and 2025.1.4. The MPS 2026.1.1 update includes improvements to the Projectional Agent Toolkit, editor context, diagnostics, agent guidance, and test execution. ### Source excerpt We've released updates for multiple major MPS versions that fix several issues. DOWNLOAD MPS 2026.1.1 Check out all the updates in each particular version below: MPS 2026.1.1 The Projectional Agent Toolkit receives several practical improvements that allow agents to: See and invoke intentions and quick-fixes on individual nodes. Manipulate NodeAttributes, PropertyAttributes, and others. Create copies [...] ## Microsoft Open-Sources TauGrid to Simplify AI Workload Management on Kubernetes DevFeed: [Microsoft Open-Sources TauGrid to Simplify AI Workload Management on Kubernetes]() Original publisher: [Read original article]() Author: Sergio De Simone Published: 2026-09-16T18:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Artificial Intelligence](), [Kubernetes](), [GPU](), [kueue](), [Go]() Tags: [agents](), [ai](), [artificial-intelligence](), [azure](), [development](), [devops](), [gpu](), [kubernetes](), [kueue](), [microsoft](), [microsoft-taugrid-open-source](), [news](), [open-source](), [orchestration]() ### AI overview Microsoft has open-sourced TauGrid, a cloud-native platform for managing, scheduling, and monitoring AI workloads on GPU-enabled Kubernetes clusters. It combines workload submission, Kueue-based queuing, KubeRay orchestration, GPU-node monitoring, and observability, while planned capabilities remain on its roadmap. ### Source excerpt Microsoft has open-sourced TauGrid, a cloud-native platform designed to manage, schedule, and monitor AI workloads on GPU-enabled Kubernetes clusters. By Sergio De Simone ## What to Expect at the Zephyr Project Workshop & Meetup (September 24, 2026) - Stuttgart, Germany DevFeed: [What to Expect at the Zephyr Project Workshop & Meetup (September 24, 2026) - Stuttgart, Germany]() Original publisher: [Read original article]() Author: Susan Remmert Published: 2026-09-16T17:57:36Z Content type: news Language: en Sources: [Zephyr Project]() Topics: [Embedded Systems](), [Embedded Software Dev](), [Application Development](), [Testing](), [Simulation](), [Open Source]() Tags: [2026](), [blog](), [command-line](), [community](), [contributors](), [development](), [embedded](), [embedded-systems](), [event](), [events](), [germany](), [meetup](), [open-source](), [sessions](), [simulation](), [technical](), [testing](), [workshop](), [zephyr]() ### AI overview The Zephyr community will hold a hands-on workshop and afternoon meetup in Stuttgart, Germany, on September 24, 2026. The program includes guided exercises, technical presentations, community networking, and discussions of Zephyr-based embedded applications. ### Source excerpt On September 24, the Zephyr community will gather in Stuttgart for a hands-on workshop followed by an afternoon meetup featuring community-led technical presentations. The event is open to experienced contributors, first-time users, students, engineers, and anyone interested in open source embedded development. Attendees may join both sessions or choose either the workshop or the meetup based on their interests. ## Fedora 45 beta drags the Linux console into the 21st century (Register) DevFeed: [Fedora 45 beta drags the Linux console into the 21st century (Register)]() Original publisher: [Read original article]() Author: corbet Published: 2026-09-16T16:24:46Z Content type: news Language: en Sources: [LWN.net]() Topics: [Fedora](), [Linux](), [console](), [legacy](), [Terminal](), [Software]() Tags: [beta](), [console](), [development](), [legacy](), [linux](), [replacement](), [software](), [terminal]() ### AI overview The article reports that Fedora 45 beta replaces Linux's legacy in-kernel console with kmscon, a software-controlled userspace terminal emulator that has been in development for more than a decade. ### Source excerpt The Register looks forward to the upcoming Fedora 45 release. The biggest surprise is that Linux's legacy in-kernel console - the text-mode interface normally hidden beneath the GUI - has been replaced with a software-controlled alternative. The replacement is kmscon, a userspace terminal emulator that has been in development for more than a decade. ## Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads DevFeed: [Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads]() Original publisher: [Read original article]() Author: Leela Kumili Published: 2026-09-16T14:42:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [dropbox](), [Artificial Intelligence](), [API](), [Orchestration](), [Retrieval Augmented Generation (RAG)]() Tags: [ai](), [ai-ml-data-engineering](), [apache](), [apis](), [architecture](), [architecture-design](), [asynchronous-architecture](), [backend](), [caching](), [data-pipelines](), [development](), [distributed-systems](), [dropbox](), [dropbox-riviera-ai-platform](), [embeddings](), [enterprise-content-management](), [large-language-models](), [ml-data-engineering](), [model-context-protocol-mcp](), [news](), [orchestration](), [platform-engineering](), [plugins](), [rag](), [tika]() ### AI overview Dropbox has expanded Riviera from an internal file-preview service into a content-processing platform supporting more than 300 file formats and over 100 transformation capabilities. The platform supports Dropbox products including Search, Replay, Sign, and Dash, and provides APIs for asynchronous document conversion, media transcription, and structured metadata extraction for AI and RAG workflows. ### Source excerpt Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over 100 transformation capabilities. Processing hundreds of thousands of transformations per second, Riviera now supports Search, Replay, Sign, and Dash, while its APIs enable asynchronous content extraction for AI and RAG workflows. By Leela Kumili ## AI Is Changing How We Code. It's Also Changing How We Learn. DevFeed: [AI Is Changing How We Code. It's Also Changing How We Learn.]() Original publisher: [Read original article]() Author: James Rempt Published: 2026-09-16T14:00:09Z Content type: opinion Language: en Sources: [Visual Studio Blog]() Topics: [Artificial Intelligence](), [Development](), [AI Development](), [Software]() Tags: [ai](), [code](), [developers](), [development](), [learning](), [software](), [software-development](), [visual-studio]() ### AI overview The article argues that AI tools are changing software development by helping developers write and understand code, troubleshoot problems, learn frameworks, and get answers quickly. It also emphasizes the continuing value of learning directly from other developers through practical education, hands-on discussion, and professional networking at events such as VSLive!. ### Source excerpt AI is changing software development at a pace no one can ignore. Developers now have powerful AI tools that can help us write code, understand unfamiliar codebases, troubleshoot problems, learn new frameworks, and get answers in seconds. That is an incredible opportunity. But as these tools become more capable, I believe something else is becoming more valuable [...] The post AI Is Changing How We Code. It's Also Changing How We Learn. appeared first on Visual Studio Blog. ## Shopify Drops React Native for Swift and Kotlin as AI Changes Cross-Platform Development Tradeoffs DevFeed: [Shopify Drops React Native for Swift and Kotlin as AI Changes Cross-Platform Development Tradeoffs]() Original publisher: [Read original article]() Author: Bruno Couriol Published: 2026-09-16T12:45:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [React Native](), [Shopify](), [Mobile](), [cross-platform](), [Kotlin](), [Swift](), [AI Models]() Tags: [ai](), [ai-coding](), [android](), [apple](), [cross-platform](), [declarative](), [development](), [kotlin](), [mobile](), [news](), [react-native](), [shopify](), [shopify-drops-react-native](), [swift](), [web-development]() ### AI overview Shopify is rewriting its flagship mobile apps in Swift and Kotlin after reassessing React Native. The decision followed the expected work to adopt React Native's New Architecture and improvements in AI coding models, which Shopify said made a clean-slate native rewrite more attractive than migration. ### Source excerpt Shopify recently announced it is abandoning React Native to rewrite its flagship apps in Swift and Kotlin. With the significant jump in the quality of AI models, Head of Mobile Mustafa Ali reassessed Shopify's commitment to React Native, estimating that the benefit/cost ratio of maintaining native codebases across mobile platforms was now above that of using an abstraction layer. By Bruno Couriol ## Presentation: Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review DevFeed: [Presentation: Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review]() Original publisher: [Read original article]() Author: Sarah Deitke Published: 2026-09-16T11:00:00Z Content type: article Language: en Sources: [InfoQ]() Topics: [Artificial Intelligence](), [Code review](), [Pull Request](), [Tooling](), [engineering-culture](), [observability]() Tags: [adoption](), [agile](), [ai](), [ai-ml-data-engineering](), [architecture-design](), [artificial-intelligence](), [automated](), [automation](), [autonomous](), [case-study](), [code-review](), [code-reviews](), [culture](), [culture-methods](), [developer](), [developer-experience](), [development](), [duolingo-ai-literacy-code-review](), [infoq](), [metrics](), [ml-data-engineering](), [observability](), [pairing](), [presentation](), [qcon-london-2026](), [qcon-software-development-conference](), [transcripts]() ### AI overview Sarah Deitke presents Duolingo's approach to cultural AI adoption through internal AI literacy workshops, observability dashboards, and safe AI guardrails. The presentation includes a case study on redesigning code review with an automated PR risk-assessment bot and reports faster delivery without increased defect rates. ### Source excerpt Sarah Deitke discusses how Duolingo drives cultural AI adoption beyond tooling access. She explains their internal AI literacy workshops and observability dashboards, then shares a case study on redesigning code review using an automated PR risk-assessment bot. Deitke demonstrates how pairing targeted developer education with safe AI guardrails speeds up delivery without increasing defect rates. By Sarah Deitke ## Lyft Moves Streaming Fleet to Apache Flink Kubernetes Operator DevFeed: [Lyft Moves Streaming Fleet to Apache Flink Kubernetes Operator]() Original publisher: [Read original article]() Author: Mark Silvester Published: 2026-09-16T11:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [flink](), [apache-flink](), [Kubernetes](), [autoscaling](), [Deployment](), [legacy](), [Testing]() Tags: [apache-flink](), [architecture-design](), [autoscaling](), [deployment](), [development](), [devops](), [flink](), [kubernetes](), [kubernetes-operator](), [legacy](), [lyft-flink-k8s-operator](), [news](), [testing](), [upgrade]() ### AI overview Lyft moved hundreds of production Apache Flink jobs from its in-house Kubernetes operator to the Apache Flink Kubernetes Operator. The change enabled last-state upgrades, in-place autoscaling, and resource autotuning, while Lyft adapted legacy deployment specifications through its deploy API and contributed a fix for a configuration-renaming bug. ### Source excerpt Lyft has moved hundreds of production Flink jobs from a 2020 in-house Kubernetes operator to the Apache Flink Kubernetes Operator, unlocking last-state upgrades, in-place autoscaling and resource autotuning across the fleet. By Mark Silvester ## Article: Your Next DSL Author Is a Language Model DevFeed: [Article: Your Next DSL Author Is a Language Model]() Original publisher: [Read original article]() Author: Irakli Betchvaia Published: 2026-09-16T11:00:00Z Content type: article Language: en Sources: [InfoQ]() Topics: [Large Language Model](), [Infrastructure as code](), [Retrieval Augmented Generation (RAG)](), [Code](), [Fable]() Tags: [ai](), [ai-ml-data-engineering](), [article](), [artificial-intelligence](), [benchmarks](), [development](), [domain-specific-languages](), [dsls](), [hallucinations](), [infrastructure-as-code](), [large-language-model](), [large-language-models](), [ml-data-engineering](), [next-dsl-author-language-model](), [validation]() ### AI overview The article introduces Typed Domain Grounding (TDG), which embeds a domain-specific language as a typed internal DSL in a mainstream host language. It argues that compiler type errors and generate-compile-repair loops can reduce syntactic hallucinations in language-model output. A benchmark reported higher Structural Fidelity and lower hallucination rates than two lenient external DSLs, although first-try compile rates were lower and results varied by model. ### Source excerpt In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable. By Irakli Betchvaia ## Java 27 Delivers Post-Quantum Cryptography, Future Language Innovation, Helidon 27, JavaFX 27 DevFeed: [Java 27 Delivers Post-Quantum Cryptography, Future Language Innovation, Helidon 27, JavaFX 27]() Original publisher: [Read original article]() Author: Michael Redlich Published: 2026-09-16T10:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Java](), [java-27](), [Post-quantum cryptography](), [Cryptography](), [Security](), [Programming](), [releases]() Tags: [application-security](), [architecture-design](), [cryptography](), [development](), [digital-signature](), [helidon](), [java](), [java-27](), [java27-released](), [javafx](), [jdk-27](), [jdk-28](), [lattice](), [module](), [news](), [oracle](), [portfolio](), [post-quantum-cryptography](), [preview](), [project-valhalla](), [quantum-computing](), [release](), [security](), [structured-concurrency](), [vector]() ### AI overview Oracle released Java 27, the second non-LTS release since JDK 25. Its final feature set contains nine JEPs, including post-quantum hybrid key exchange for TLS 1.3, structured concurrency, compact object headers, JFR data redaction, the Vector API, and PEM encodings for cryptographic objects. Five features remain in preview or incubator stages. ### Source excerpt Oracle has released version 27 of the Java programming language and virtual machine. As the second non-LTS release since JDK 25, the final feature set includes nine JEPs, five of which are still progressing through the preview and incubator stages. This release focuses on strengthening security, future language innovation, and projects under the auspices of the Java Verified Portfolio. By Michael Redlich ## Kanbanning the LearnStorm Dev Process DevFeed: [Kanbanning the LearnStorm Dev Process]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-12-07T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Development]() Tags: [dev](), [development](), [development-process](), [engineering](), [news](), [projects](), [web-frontend]() ### AI overview Kevin Dangoor describes how Khan Academy's LearnStorm initiative changed its development process from project-based planning with Trello and Google Sheets to task-focused tracking in Google Docs and Asana as launch requirements evolved. ### Source excerpt By Kevin Dangoor In his New Employee's Primer post from July, Riley Shaw wrote a little about our ... Read more ## Engineering career development at Khan Academy DevFeed: [Engineering career development at Khan Academy]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-04-11T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Development](), [Learning](), [Job](), [Framework]() Tags: [career-development](), [development](), [eng-leads](), [engineering](), [guide](), [learn](), [news]() ### AI overview Khan Academy shares its Engineering Career Development guide, explaining how the organization supports engineers' learning and uses career structures to help assess skill sets, impact, hiring, and pay fairly. ### Source excerpt By Ben Eater At Khan Academy, we see ourselves as part of a broader engineering community and just ... Read more ## Starting Android at Khan Academy DevFeed: [Starting Android at Khan Academy]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-02-29T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Android](), [android-development](), [Development](), [Library](), [modules](), [ci](), [Mocking]() Tags: [android](), [android-development](), [development](), [engineering](), [libraries](), [mobile](), [mocking](), [module](), [modules](), [news](), [open-source](), [picasso](), [play-store](), [pre-commit](), [retrofit](), [test](), [tests]() ### AI overview Khan Academy describes its first Android app, launched in August 2015, and the engineering practices used to build it. The team adopted established Android and open-source libraries, separated Android-independent core code from the app module, and used fast JVM tests and continuous integration. ### Source excerpt By Ben Komalo The journey of a thousand miles... In March, 2015--almost 1 year ago to the day--we ... Read more ## Pinterest's Manas Search Platform Uses Quantization and SSD-Based Serving DevFeed: [Pinterest's Manas Search Platform Uses Quantization and SSD-Based Serving]() Original publisher: [Read original article]() Author: Olimpiu Pop Published: 2026-09-16T06:06:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [quantization](), [AI search](), [webgpu]() Tags: [algorithms](), [architecture-design](), [development](), [infrastructure](), [news](), [optimization](), [performance](), [pinterest-search](), [quantization](), [search](), [ssd](), [vector]() ### AI overview Pinterest Engineering enhanced its Manas distributed search platform with scalar and product quantization, SSD-based serving, and late-interaction retrieval. The reported evaluations describe trade-offs among index size, recall, throughput, latency, and serving cost. ### Source excerpt Pinterest Engineering has enhanced its Manas search platform to manage vast data, improving efficiency in search and discovery functions. By applying Scalar and Product Quantization, memory usage decreased significantly while maintaining high recall rates. The platform utilizes SSDs for optimized performance, and it is transitioning to multi-vector models for refined relevance matching. By Olimpiu Pop ## Google tag gateway: Now on Webflow DevFeed: [Google tag gateway: Now on Webflow]() Original publisher: [Read original article]() Author: Webflow Team Published: 2026-09-16T00:00:00Z Content type: release Language: en Sources: [Webflow Blog]() Topics: [gateway](), [webflow](), [Google](), [Confidential Computing](), [data](), [configuration](), [Deployment]() Tags: [confidential-computing](), [configuration](), [conversion](), [data](), [deployment](), [development](), [gateway](), [google](), [measurement](), [webflow]() ### AI overview Webflow announces Google tag gateway, which routes conversion data through a site's first-party infrastructure. Existing native Google tag integration users can activate it by republishing their site, while new users can follow a code-free setup workflow. ### Source excerpt When you build on Webflow, you're creating experiences designed to help your business stand out and grow. Underpinning those experiences with a strong measurement foundation can help you understand what's driving results and make more informed marketing decisions. Now, Webflow makes it easier to strengthen your measurement foundation. ## How to Build an Endpoint Data Loss Prevention Strategy for Your Development Team DevFeed: [How to Build an Endpoint Data Loss Prevention Strategy for Your Development Team]() Original publisher: [Read original article]() Author: Alex Tray Published: 2026-09-15T21:03:09Z Content type: tutorial Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [data loss prevention](), [Development](), [Access Control](), [data]() Tags: [access-control](), [cybersecurity](), [cybersecurityawareness](), [data-loss-prevention](), [data-protection](), [database](), [development](), [encryption](), [endpoint-security](), [hardcoded-credentials](), [it-security](), [net-conf](), [remote-access](), [secrets](), [sensitive-data](), [web-development]() ### AI overview A tutorial for development teams on building endpoint data loss prevention strategies. It covers auditing laptops for secrets and sensitive data, removing unnecessary copies, rotating exposed credentials, and establishing access controls. ### Source excerpt A developer's laptop holds more sensitive data than most people realize: API keys, database credentials, staging environment secrets, and sometimes entire copies of production data pulled down "just f ## What's New in macOS 27 for Developers? DevFeed: [What's New in macOS 27 for Developers?]() Original publisher: [Read original article]() Author: Daniel Kehoe Published: 2026-09-15T21:01:18Z Content type: tutorial Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [macOS](), [upgrade](), [Development]() Tags: [apple](), [beginner-developers](), [developer](), [developers](), [development](), [installation](), [intel](), [macos](), [upgrade]() ### AI overview This guide explains what macOS 27 changes for developers, which Macs can upgrade, and how to reduce upgrade time. It states that macOS 27 requires Apple Silicon, recommends waiting for macOS 27.1 on work-critical Macs, and compares Software Update with Apple's package installer. ### Source excerpt macOS 27 Golden Gate is here. Apple released it September 14, 2026, as a free upgrade for every Mac that can run it. I'll show you what actually changes for developers in macOS 27, how to upgrade with ## Build with Claude Code: Enrollment for a Two-Day Cohort Course DevFeed: [Build with Claude Code: Enrollment for a Two-Day Cohort Course]() Original publisher: [Read original article]() Author: ByteByteGo Published: 2026-09-15T19:31:01Z Content type: article Language: en Sources: [ByteByteGo]() Topics: [Claude Code](), [Development](), [Code](), [Git]() Tags: [build](), [claude-code](), [code](), [development](), [git](), [hooks](), [how-to](), [learn](), [mcps](), [parallel]() ### AI overview The article announces the relaunch of Build with Claude Code, a two-day cohort-based course taught by John Kim. It covers Claude Code fundamentals and production workflows, including context engineering, memory, Skills, MCPs, hooks, Git worktrees, subagents, and agent teams. ### Source excerpt We're relaunching Build with Claude Code, a 2-day intensive cohort-based course taught by John Kim, who has trained hundreds of engineers at Meta to use Claude Code in real production workflows. [Next page]()