# Tooling Published articles for Tooling. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Evolving our content infrastructure DevFeed: [Evolving our content infrastructure]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-09-19T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Tooling](), [Website](), [Network]() Tags: [engineering](), [infrastructure](), [news](), [tooling](), [website]() ### AI overview Khan Academy describes infrastructure changes and optimizations that helped make its Spanish-language site fully available in Spanish, focusing on how the team addressed untranslated new and changed content and plans to adapt the approach to more languages. ### Source excerpt By Willow Chargin Every month, millions of learners use Khan Academy in languages other than English. Over the past ... Read more ## tota11y - an accessibility visualization toolkit DevFeed: [tota11y - an accessibility visualization toolkit]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-06-08T22:00:00Z Content type: release Language: en Sources: [Khan Academy]() Topics: [Accessibility](), [audit](), [Testing](), [Tooling](), [browser](), [Chrome]() Tags: [accessibility](), [accessibility-testing](), [audit](), [browser](), [chrome](), [developer-tools](), [engineering](), [frontend](), [linter](), [news](), [testing](), [tests](), [tooling](), [unit-tests](), [visualization](), [web](), [web-frontend]() ### AI overview Khan Academy announces tota11y, an accessibility visualization toolkit designed to make manual accessibility testing easier for developers. The article describes its development and use of browser-based annotations to help teams understand and fix accessibility issues. ### Source excerpt By Jordan Scales Today we're releasing tota11y (on GitHub), an accessibility visualization toolkit that aims to reduce the ... Read more ## Honoring #IconsOfQuality: Mark Hrynczak DevFeed: [Honoring #IconsOfQuality: Mark Hrynczak]() Original publisher: [Read original article]() Author: Rajrupa Roychowdhury Published: 2026-09-16T08:20:52Z Content type: opinion Language: en Sources: [BrowserStack Blog]() Topics: [Testing](), [Loop Engineering](), [Artificial Intelligence](), [site-reliability-engineering](), [Amazon Web Services](), [atlassian]() Tags: [agentic](), [ai](), [atlassian](), [aws](), [icons-of-quality](), [quality](), [sre](), [testing](), [tooling]() ### AI overview BrowserStack profiles Mark Hrynczak, Canva's Head of Quality and QA Director, discussing how distributed quality ownership, agentic testing, and AI-driven decision support can help engineering teams move faster while maintaining reliability. ### Source excerpt To celebrate the relentless passion and invaluable contributions of leaders in software quality, BrowserStack is proud to honour Icons of Quality. ## Delta launches public beta for collaborative coding with agents and code review DevFeed: [Delta launches public beta for collaborative coding with agents and code review]() Original publisher: [Read original article]() Author: Nathan Sobo Published: 2026-09-16T00:00:00Z Content type: release Language: en Sources: [Zed Industries - Blog]() Topics: [coding](), [pull-requests](), [GitHub](), [browser]() Tags: [beta](), [github](), [mobile](), [pull-requests](), [tooling]() ### AI overview Delta is now available in public beta as a collaborative environment for coding with agents and reviewing their work. It supports shared agent conversations, isolated review worktrees, and access from macOS, Linux, Windows, the web, and mobile browsers. ### Source excerpt Delta is now in public beta. Replacing pull requests is our first step toward replacing GitHub. ## The only perfect Endpoint Prevention and Response (EPR) score in 2026 belongs to Elastic DevFeed: [The only perfect Endpoint Prevention and Response (EPR) score in 2026 belongs to Elastic]() Original publisher: [Read original article]() Author: Mia LaVada Published: 2026-09-15T00:00:00Z Content type: article Language: en Sources: [Elastic Blog - Elasticsearch, Kibana, and ELK Stack]() Topics: [Endpoint Security & XDR](), [Testing](), [Security](), [SOC]() Tags: [2026](), [alert-fatigue](), [analysts](), [investigation-incident-response-security-compliance-security-analytics-xdr](), [obfuscation](), [persistence](), [protection](), [security](), [security-endpoint-security](), [soc](), [techniques](), [testing](), [tooling](), [usb]() ### AI overview Elastic describes its results in the 2026 AV-Comparatives Endpoint Prevention and Response test, reporting 100% protection scores, zero false alerts, and the lowest modeled operational footprint among tested products. The article explains that Elastic stopped all 50 attack scenarios at the initial phase. ### Source excerpt Elastic sits at the very top of this year's AV-Comparatives' CyberRisk Quadrant within the 2026 Endpoint Prevention and Response (EPR) test with the highest protection scores at 100%. Learn more. ## Percona and HexaCluster: Faster, Safer Oracle Migration DevFeed: [Percona and HexaCluster: Faster, Safer Oracle Migration]() Original publisher: [Read original article]() Author: Percona Team Published: 2026-09-14T22:19:16Z Content type: article Language: en Sources: [Blog - Percona]() Topics: [Oracle Database](), [migration](), [Open Source](), [PostgreSQL](), [Database Migration](), [Replication](), [Tooling]() Tags: [database](), [database-migration](), [database-trends](), [engineering](), [insight-for-dbas](), [insight-for-developers](), [migration](), [open-source](), [oracle](), [partners](), [percona](), [postgresql](), [replication](), [schema](), [sql](), [tooling](), [validation]() ### AI overview Percona and HexaCluster describe a partnership for moving organizations from Oracle, SQL Server, DB2, and Sybase ASE to supported open source databases, primarily PostgreSQL. HexaCluster provides assessment and migration engineering through DMAT and HexaRocket, while Percona provides distributions, operators, and long-term support. HexaRocket combines schema migration, data migration, validation, change data capture, live replication, and reverse replication in one platform. ### Source excerpt Percona and HexaCluster have partnered to remove the hardest part of an open source database migration: getting off Oracle, SQL Server, DB2 or Sybase ASE with confidence, on a predictable timeline, without a multi-year consulting program. Percona brings open source expertise, its own distributions, operators and enterprise support. HexaCluster brings the assessment and migration engineering ... Continued The post Percona and HexaCluster: Faster, Safer Oracle Migration appeared first on Percona. ## Meta Open-Sources Astryx, Its Agent-Ready React Design System DevFeed: [Meta Open-Sources Astryx, Its Agent-Ready React Design System]() Original publisher: [Read original article]() Author: Bruno Couriol Published: 2026-09-13T23:39:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Meta](), [React](), [Open Source](), [CSS](), [Tooling](), [Accessibility](), [Model Context Protocol](), [User interface design](), [Web Development](), [Svelte](), [Flutter]() Tags: [accessibility](), [css](), [development](), [flutter](), [javascript](), [mcp](), [meta](), [meta-astryx-design-system](), [news](), [open-source](), [react](), [svelte](), [tokens](), [tooling](), [typescript](), [ui](), [web-development]() ### AI overview Meta has beta-released Astryx, an open-source React design system developed internally over eight years. It offers more than 150 accessible components, customizable CSS design tokens, precompiled StyleX-based styling, component code ejection, CLI tooling, and an MCP endpoint for developer and AI workflows. ### Source excerpt Meta recently announced the beta release of Astryx, an open-source React design system developed internally over eight years. Astryx builds on React 19 and StyleX to provide over 150 accessible UI components, customizable CSS design tokens, and dedicated CLI and MCP tooling -- for both engineers and AI agents. By Bruno Couriol ## Scality Maestro 1.1 Manages ARTESCA Fleets From One Console With No VPN Into Customer Sites DevFeed: [Scality Maestro 1.1 Manages ARTESCA Fleets From One Console With No VPN Into Customer Sites]() Original publisher: [Read original article]() Author: Harold Fritts Published: 2026-09-10T20:17:01Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [cloud-infrastructure](), [Monitoring](), [Tooling](), [Deployment](), [Server](), [Firewall](), [Network](), [Disk image]() Tags: [data-protection](), [deployment](), [enterprise](), [firewall](), [infrastructure](), [monitoring](), [network](), [platform](), [production](), [scale](), [server](), [software](), [tooling](), [updates](), [upgrade]() ### AI overview Scality has generally released Maestro 1.1, a fleet management platform for service providers operating many Scality ARTESCA object storage deployments. It provides centralized monitoring, software and server firmware updates, capacity tracking, and automated pay-as-you-go billing without requiring VPN tunnels or customer-side network reconfiguration. Each deployment connects outbound to Maestro, which does not connect back into customer networks. ### Source excerpt Scality has made Maestro 1.1 generally available, a fleet management platform for service providers running large numbers of Scality ARTESCA object storage deployments on behalf of their customers. The target is the backup-as-a-service business that starts as a handful of ARTESCA clusters and grows to tens or hundreds, each sitting inside a different customer's network The post Scality Maestro 1.1 Manages ARTESCA Fleets From One Console With No VPN Into Customer Sites appeared first on StorageReview.com. ## A Bootiful Podcast: Netflix's Paul Bakker DevFeed: [A Bootiful Podcast: Netflix's Paul Bakker]() Original publisher: [Read original article]() Author: joshlong Published: 2026-09-10T00:00:00Z Content type: article Language: en Sources: [Spring]() Topics: [Concurrency](), [Concurrent Programming](), [Tooling]() Tags: [ai](), [batch](), [boot](), [cloud](), [complexity](), [concurrency](), [event-driven](), [java](), [microservices](), [netflix](), [podcast](), [reactive](), [serverless](), [spring](), [tooling](), [web-applications]() ### AI overview A podcast interview with Netflix's Paul Bakker on scaling Java, adopting newer JDKs to reduce costs, and using virtual threads and structured concurrency instead of reactive complexity. It also previews AI-powered tooling and Project Valhalla's future. ### Source excerpt Hi, Spring fans! This week's interview is a must-watch if you care about where Java is headed next. This week, I talk to Netflix's Paull Bakker! We dig into Netflix's real-world playbook for scaling Java, cutting costs with newer JDKs, and replacing reactive complexity with virtual threads and structured concurrency. Plus, there's a sneak peek at the exciting future of Java, from AI-powered tooling to the upcoming Valhalla era. ## Survey Finds AI Agent Confidence Outpaces Production Controls DevFeed: [Survey Finds AI Agent Confidence Outpaces Production Controls]() Original publisher: [Read original article]() Author: Keith Mann Published: 2026-09-10T00:00:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [AI Agent](), [Security](), [Testing](), [Tooling](), [Large Language Model](), [MCP]() Tags: [agents](), [ai](), [ai-agents](), [mcp](), [security](), [testing](), [tooling]() ### AI overview A survey of 700 organizations running AI agents found that confidence in testing, security, inventory, cost, and rollback ranged from 74% to 77%, while the controls supporting those claims were often absent. The largest gap was in security: 75% reported end-to-end confidence, but only 23% had a dedicated AI-agent security layer in production. ### Source excerpt A survey of 700 organizations reveals a dangerous gap between confidence in AI agents and the controls needed to test, secure, track, and roll them back. | Blog ## From Livestream To Library: Publishing Flock To Fedora's Session Recordings DevFeed: [From Livestream To Library: Publishing Flock To Fedora's Session Recordings]() Original publisher: [Read original article]() Author: Akashdeep Dhar Published: 2026-09-09T08:00:00Z Content type: article Language: en Sources: [Fedora Magazine]() Topics: [Fedora](), [Tooling](), [DRIVE](), [Google](), [VLC](), [Quartz]() Tags: [2025](), [2026](), [article](), [community](), [drive](), [events](), [fedora-project-community](), [ffmpeg](), [flock-2026](), [google](), [livestream](), [livestreams](), [marketing](), [media](), [tooling](), [youtube]() ### AI overview This article documents the process of turning raw Flock To Fedora livestream footage from 2025 and 2026 into published session recordings. It covers vendor and platform use, footage organization, metadata and thumbnail preparation, timestamp annotation with VLC Media Player, and upload workflows for YouTube and PeerTube. ### Source excerpt Intro After months of good old fashioned struggle with Google Drive and YouTube Studio, we were finally able to prepare the video sessions from the 2025 and 2026 Flock To Fedora event livestreams. These are now released to our YouTube and PeerTube communities. This article describes the details of the entire process that got us from the raw footage to the [...] ## What to expect at the Zephyr Project Meetup (September 15, 2026) - Amsterdam, Netherlands DevFeed: [What to expect at the Zephyr Project Meetup (September 15, 2026) - Amsterdam, Netherlands]() Original publisher: [Read original article]() Author: Susan Remmert Published: 2026-09-09T05:00:04Z Content type: article Language: en Sources: [Zephyr Project]() Topics: [Zephyr RTOS](), [Embedded Systems](), [Open Source](), [Fuzzing/Fuzz testing](), [simulator](), [developer tooling]() Tags: [2026](), [blog](), [bugs](), [community](), [contributors](), [embedded](), [embedded-systems](), [event](), [events](), [firmware](), [fuzzing](), [harness](), [meetup](), [open-source](), [simulator](), [talk](), [technologies](), [tooling](), [tools](), [zephyr]() ### AI overview The Zephyr Project Meetup in Amsterdam on September 15, 2026, will bring together embedded developers, contributors, students, and engineers to exchange practical knowledge about Zephyr RTOS. The agenda includes talks on JetBrains' work with Zephyr, fuzzing Zephyr applications with AFL and Renode, and making hardware development easier with Schematik. ### Source excerpt What are developers in the Netherlands building with Zephyr? On September 15, the embedded community will meet in Amsterdam to exchange practical knowledge, discuss current work, and learn more about the Zephyr RTOS. The event is open to experienced contributors, first-time users, students, engineers, and anyone curious about open source embedded development. ## Why Spotify Is Not Using Bayesian A/B Testing DevFeed: [Why Spotify Is Not Using Bayesian A/B Testing]() Original publisher: [Read original article]() Author: Spotify Engineering Published: 2026-09-08T13:18:44Z Content type: article Language: en Sources: [Spotify Engineering](), [Spotify Engineering Blog]() Topics: [Data Science](), [Tooling]() Tags: [a-b-testing](), [data](), [data-science](), [experimentation](), [inference](), [statistics](), [testing](), [tooling]() ### AI overview Spotify argues that Bayesian A/B testing can be oversimplified and that its claimed advantages require careful configuration. The article compares Bayesian and frequentist approaches and explains why Spotify does not currently need Bayesian inference alongside its frequentist tooling. ### Source excerpt Clearing the confusion about what Bayesian A/B testing is. The post Why Spotify Is Not Using Bayesian A/B Testing appeared first on Spotify Engineering. ## How engineering teams can measure AI coding ROI with cost attribution and outcome metrics DevFeed: [How engineering teams can measure AI coding ROI with cost attribution and outcome metrics]() Original publisher: [Read original article]() Author: Kelsey Rosen Published: 2026-09-08T00:00:00Z Content type: article Language: en Sources: [Harness Blog]() Topics: [ai-coding](), [Ground truth / benchmark quality](), [coding](), [Finance]() Tags: [ai](), [ai-coding](), [analysis](), [blog](), [coding](), [cost](), [datadog](), [engineering](), [governance](), [harness](), [incident](), [lifecycle](), [measurement](), [metrics](), [numbers](), [production](), [team](), [tokens](), [tooling](), [workflow]() ### AI overview A Harness panel discussion outlines ways engineering organizations can measure AI coding ROI. The panel recommends attributing costs to specific work, combining throughput metrics with qualitative evidence, and using governance and process changes to interpret results. ### Source excerpt Harness panelists share practical strategies for measuring AI coding ROI, from granular cost attribution and lifecycle metrics to budgeting, governance. | Blog ## Java Weekly, Issue 662 DevFeed: [Java Weekly, Issue 662]() Original publisher: [Read original article]() Author: baeldung Published: 2026-09-06T09:25:19Z Content type: article Language: en Sources: [Baeldung]() Topics: [IntelliJ IDEA](), [Concurrency](), [Tooling](), [Cryptography](), [elasticsearch]() Tags: [concurrency](), [cryptography](), [elasticsearch](), [intellij-idea](), [java](), [no-ads](), [no-after-post](), [no-before-post](), [no-optins](), [tooling](), [weekly-review](), [weekly-review-no-ads-no-after-post-no-before-post-no-optins]() ### AI overview A Java ecosystem roundup led by a hands-on look at Project Loom in IntelliJ IDEA, covering virtual threads, scoped values, structured concurrency, and related tooling. It also links to Java and Spring articles, podcasts, release announcements, code-review commentary, and IntelliJ IDEA Conf 2026. ### Source excerpt The three Loom pillars and, more importantly, the tooling. Plus IntelliJ IDEA Conf 2026 getting close. The post Java Weekly, Issue 662 first appeared on Baeldung. ## TinyGo 0.42 adds support for 87 Puya PY32 MCU variants and two EmbedFire boards DevFeed: [TinyGo 0.42 adds support for 87 Puya PY32 MCU variants and two EmbedFire boards]() Original publisher: [Read original article]() Author: Jean-Luc Aufranc (CNXSoft) Published: 2026-09-04T04:33:53Z Content type: news Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Go Language](), [Embedded Systems](), [Microcontroller](), [Compiler](), [Arm](), [Internet of things](), [LLVM]() Tags: [arm](), [article](), [code](), [compiler](), [development](), [development-board](), [devices](), [embedded-systems](), [firmware](), [go](), [gpio](), [guest-post](), [hardware](), [iot](), [llvm](), [mcu](), [microcontrollers](), [news](), [programming](), [puya](), [software-management](), [tooling]() ### AI overview TinyGo 0.42 adds support for the Puya PY32 family of 32-bit Arm microcontrollers, covering 87 MCU configurations and two EmbedFire development boards. The port includes startup code, linker scripts, GPIO, UART, and generated device-register definitions. ### Source excerpt CNXSoft: This is a guest post by Pavel Burgr, who recently added Puya PY32 MCU support to TinyGo 0.42, the latest version of the Go compiler for microcontrollers. We first covered TinyGo in 2019, and the project is still going strong with 17.7k stars, 1.1k forks, and 243 contributors. I just made a few edits and added illustrations and a few links to the article. TinyGo 0.42 adds support for the Puya PY32 family of 32-bit Arm microcontrollers. The new port includes startup code, generated device-register definitions, linker scripts, GPIO and UART support, and targets for 87 individual MCU configurations. It also includes board definitions for two inexpensive EmbedFire development boards available from AliExpress. The port was contributed by Pavel Burgr and merged through TinyGo pull request #5106. One motivation was to establish a solid, easy-to-use firmware platform for small IoT devices built around the Registry service and the BleRiot [...] The post TinyGo 0.42 adds support for 87 Puya PY32 MCU variants and two EmbedFire boards appeared first on CNX Software - Embedded Systems News. ## The economics of agent scale: tokens, ROI, and building platforms for AI-first teams (Part 2) DevFeed: [The economics of agent scale: tokens, ROI, and building platforms for AI-first teams (Part 2)]() Original publisher: [Read original article]() Author: Eira May Published: 2026-09-03T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [AI Bots](), [ai observability]() Tags: [agent](), [agentic](), [agentic-ai](), [agents](), [ai](), [ai-agents](), [business](), [cost](), [developers](), [engineering](), [engineering-leadership](), [google](), [infrastructure](), [leaders-of-code](), [model](), [observability](), [php](), [platform](), [platform-engineering](), [podcast](), [scale](), [science](), [tooling](), [work]() ### AI overview A podcast discussion on operating AI agents at scale, focusing on token efficiency, cost governance, context management, and platform tooling and observability. ### Source excerpt Andi Gutmans, head of Agentic Data Cloud at Google, returns for the second half of his Leaders of Code conversation to talk through the cost and infrastructure side of agentic development. ICYMI, part one covered judgment, code review, and data activation. ## How software engineering is changing: an essay challenge DevFeed: [How software engineering is changing: an essay challenge]() Original publisher: [Read original article]() Author: Gergely Orosz Published: 2026-09-01T16:06:50Z Content type: article Language: en Sources: [The Pragmatic Engineer]() Topics: [future of software](), [AI Development](), [Large Language Model](), [Software Engineering]() Tags: [ai](), [competition](), [essay](), [llms](), [software-engineering](), [tooling]() ### AI overview The Pragmatic Engineer announces an essay competition about how software engineering is changing as companies adopt LLMs, AI tooling, and AI infrastructure. It invites software engineers to submit 3,000-10,000-word essays about changes in engineering practices, culture, and workflows, with selected entries to be published and prizes of up to $10,000. ### Source excerpt The pace of change in software engineering is only accelerating, especially since January of this year. This is all to do with the industry-wide adoption of LLMs, AI tooling, and AI infrastructure. At The Pragmatic Engineer, we always want to capture as much of what's going on ## Today I will... review GitHub PRs DevFeed: [Today I will... review GitHub PRs]() Original publisher: [Read original article]() Author: Aaron Powell Published: 2026-09-01T16:00:27Z Content type: tutorial Language: en Sources: [Visual Studio Blog]() Topics: [Pull Request](), [GitHub](), [GitHub Copilot](), [Syntax Highlighting]() Tags: [copilot](), [git](), [github](), [productivity](), [pull-requests](), [review](), [tooling](), [visual-studio](), [visual-studio-2026]() ### AI overview A tutorial on reviewing GitHub pull requests from Visual Studio. It covers opening PRs, examining diffs, adding buffered inline comments, approving or merging, and using Copilot during review. ### Source excerpt Today I will show you how we can tackle one of the most common tasks when working in a development team or managing an open-source project, and that is working with Pull Requests. While we're going to be using the GitHub tooling within Visual Studio for this, the approach would be very similar with Azure [...] The post Today I will... review GitHub PRs appeared first on Visual Studio Blog. ## On Rails -- Eddie Galindo & Kagen Hearn: Rate Limiting For Your Customers DevFeed: [On Rails -- Eddie Galindo & Kagen Hearn: Rate Limiting For Your Customers]() Original publisher: [Read original article]() Author: Rails Foundation Published: 2026-09-01T00:00:00Z Content type: article Language: en Sources: [Ruby on Rails: Compress the complexity of modern web apps]() Topics: [App](), [data](), [configuration]() Tags: [app](), [data](), [engineering](), [feature-flags](), [podcast](), [software](), [tooling]() ### AI overview A podcast episode about scaling and operating Ascend's Rails monolith as it serves larger customers, including data-ingestion limits, feature flags versus database configuration, and AI tooling in money-moving software. ### Source excerpt Eddie Galindo is an engineering lead at Ascend and Kagen Hearn is a senior software engineer there, working on a Rails app that helps insurance agencies move and reconcile money. ## Rerouting the Stream: How Lyft Moved to the Apache Flink Operator DevFeed: [Rerouting the Stream: How Lyft Moved to the Apache Flink Operator]() Original publisher: [Read original article]() Author: Maheep Myneni Published: 2026-08-31T19:08:16Z Content type: article Language: en Sources: [Lyft Engineering - Medium]() Topics: [Apache Iceberg](), [Streaming](), [Kubernetes](), [Open Source](), [autoscaling](), [Tooling](), [Architecture & Design]() Tags: [apache](), [apache-flink](), [autoscaling](), [data-platforms](), [infrastructure](), [kubernetes](), [lyft](), [open-source](), [production](), [streaming](), [streaming-data-processing](), [tooling]() ### AI overview Lyft describes its migration from an internally developed Flink Kubernetes operator to the open-source Apache Flink Kubernetes Operator. The move addressed maintenance burden, technical debt, feature gaps, outdated dependencies, and growing real-time streaming demands, while providing capabilities such as autoscaling, memory tuning, safer upgrades, and automatic rollbacks. ### Source excerpt Written by Maheep Myneni, Arda Kuyumcu, and Prem Santosh Udaya Shankar at Lyft. Why We Migrated: Technical Debt Meets Modern Streaming Demands Over the past several quarters, Lyft's Streaming Compute team retired our internally developed Flink Kubernetes operator and moved our entire streaming fleet onto the open-source Apache Flink Kubernetes operator. This post is about why we made the switch, how we pulled it off incrementally without disrupting users, and the follow-on work it took to actually get the benefits we were after. Back in 2020, when we first architected the Lyft Flink Kubernetes Operator, it was exactly what we needed. At that time, the open-source community hadn't yet built a dedicated control plane, so we built our own to manage all streaming applications on Kubernetes. It worked well for our initial workloads, but as our real-time data needs increased and our engineers' scope of ownership grew in both breadth and complexity, the cracks started to show. First came the maintenance burden. Our operator had become a relic of Lyft's early Kubernetes days, kept alive by a growing pile of custom code. Every Flink version upgrade meant carefully picking through layers of accumulated technical debt and hoping nothing broke on the way through. Second came the feature gap. Streaming tooling kept moving, and our engineers kept asking for capabilities that had become table stakes elsewhere, such as autoscaling to right-size jobs, automatic rollbacks on failed deploys, and an end to hand-tuning CPU and memory. Each request left us with two options, neither of which was ideal. We could explain why we couldn't support it yet, or spend weeks rebuilding something the open-source community had already shipped. Third was the dependency problem. We were pinned to outdated libraries. That doesn't break anything today, but it almost always creates new issues down the line. Security patches lagged, modern Kubernetes features stayed out of reach, and every quarter we waite ## Week Ending August 23, 2026 DevFeed: [Week Ending August 23, 2026]() Original publisher: [Read original article]() Published: 2026-08-28T18:00:00Z Content type: news Language: en Sources: [Last Week in Kubernetes Development]() Topics: [Kubernetes v1.34](), [Kubernetes](), [webgpu](), [Tooling](), [Development]() Tags: [contributors](), [developer](), [gpu](), [kubernetes](), [news](), [openapi](), [release](), [release-notes](), [tooling]() ### AI overview This Kubernetes developer news roundup covers the Kubernetes v1.37 release, contributor and SIG updates, changes planned for the v1.38 release cycle, fixes to extended resource accounting and admission-registration OpenAPI schemas, and stable support for taints and tolerations on individual hardware devices through Dynamic Resource Allocation. ### Source excerpt Developer News ## Implementing the Anthropic AI-Native SDLC Playbook: How to get it right DevFeed: [Implementing the Anthropic AI-Native SDLC Playbook: How to get it right]() Original publisher: [Read original article]() Author: Yonatan Boguslavski Published: 2026-08-28T16:15:46Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [anthropic](), [sdlc](), [Platform Engineering](), [Agent Harness](), [Artificial Intelligence](), [AI-assisted coding]() Tags: [agentic](), [ai](), [anthropic](), [monitor](), [platform](), [platform-engineering](), [sdlc](), [tooling]() ### AI overview The article explains how to implement Anthropic's AI-native SDLC playbook at organizational scale. It describes agents contributing across the software lifecycle, producing artifacts from intent and specifications through plans, pull requests, and production, with governance, human judgment, orchestration, and monitoring built into a platform foundation. ### Source excerpt Implement Anthropic's AI-native SDLC playbook. Learn the key requirements and foundation needed to run agentic SDLC at scale. ## Solana Changelog: August 27, 2026 DevFeed: [Solana Changelog: August 27, 2026]() Original publisher: [Read original article]() Author: Solana Foundation Published: 2026-08-28T16:00:00Z Content type: release Language: en Sources: [Solana News Feed]() Topics: [changelog](), [Solana](), [releases](), [Tooling](), [SDKs](), [Transactions](), [Network]() Tags: [2026](), [announcements](), [blockchain](), [blockchain-technology](), [changelog](), [crypto-news](), [cryptocurrency](), [defi](), [developers](), [javascript](), [network](), [newsletter](), [nfts](), [podcasts](), [release](), [releases](), [sdk](), [sdks](), [solana](), [solana-ecosystem](), [technology](), [tooling](), [transactions](), [v5](), [web3]() ### AI overview The August 27, 2026 Solana changelog covers approaching V1 Transactions, a Mainnet feature gate reducing slot time to 300ms, releases across Solana tooling and SDKs, and proposed protocol changes. ### Source excerpt V1 Transactions are approaching, while a 300ms slot-time feature gate reached Mainnet and new releases shipped across Solana tooling. 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