# legacy Published articles for legacy. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## How to Migrate a Legacy Monolith Incrementally Without a Big-Bang Rewrite DevFeed: [How to Migrate a Legacy Monolith Incrementally Without a Big-Bang Rewrite]() Original publisher: [Read original article]() Author: Hugo Teijiz Published: 2026-09-17T23:27:03Z Content type: tutorial Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [Legacy Modernization](), [migration](), [Refactoring](), [Testing](), [Integration testing](), [observability](), [Routing (disambiguation)](), [Transactions](), [TypeScript](), [API](), [service](), [Dependency injection]() Tags: [artificial-intelligence](), [how-to](), [incremental](), [integration-testing](), [legacy](), [legacy-code](), [migrate](), [migration](), [monolith](), [refactoring](), [rewrite](), [routing](), [software-architecture](), [transactions]() ### AI overview A tutorial on migrating a legacy monolith incrementally by moving one business capability at a time. It covers characterization tests, boundaries between legacy and new code, parallel implementations, progressive traffic, observability, rollback paths, data ownership, and removing migrated behavior. ### Source excerpt Large legacy migrations often fail long before the final cutover. The failure usually starts when the migration is framed as a single event. Move the application. Move the database. Move all the users ## Accelerating Operational Efficiency in Modern Transportation DevFeed: [Accelerating Operational Efficiency in Modern Transportation]() Original publisher: [Read original article]() Author: Emily Kasman Published: 2026-09-17T13:30:51Z Content type: article Language: en Sources: [Cisco Blogs]() Topics: [Cisco](), [Network](), [Critical Infrastructure](), [legacy](), [Low Latency](), [Security](), [observability](), [Resilience]() Tags: [cisco](), [cisco-connected-rail](), [cisco-industrial-ethernet-switches](), [cisco-industrial-routers](), [cisco-industrial-security](), [connected-roadways](), [critical-infrastructure](), [industrial-ai](), [industrial-iot](), [legacy](), [low-latency](), [modernization](), [network](), [observability](), [resilience](), [security](), [transportation]() ### AI overview This Cisco article discusses how transit and roadway agencies can modernize legacy network infrastructure. It presents secure, low-latency connectivity, end-to-end operational visibility, and security-focused architecture as ways to support real-time processing, connected systems, and more resilient transportation operations. ### Source excerpt Learn how Cisco helps transit agencies overcome legacy network bottlenecks with secure, AI-ready connectivity, full visibility, and robust cyber resilience. ## GNOME 51 Released With Improved Frame Scheduling, Many App Improvements DevFeed: [GNOME 51 Released With Improved Frame Scheduling, Many App Improvements]() Original publisher: [Read original article]() Author: Michael Larabel Published: 2026-09-16T16:25:21Z Content type: news Language: en Sources: [Phoronix]() Topics: [releases](), [Wayland](), [Release notes](), [Software](), [ui](), [legacy](), [Nvidia]() Tags: [desktop](), [desktop-linux](), [driver](), [experience](), [faster](), [improvements](), [legacy](), [linux-benchmarking](), [linux-hardware-benchmarks](), [linux-hardware-reviews](), [linux-how-to](), [linux-performance](), [linux-server-benchmarks](), [notes](), [nvidia](), [offline](), [open-source-graphics](), [other](), [phoronix](), [phoronix-test-suite](), [protocols](), [release](), [release-notes](), [settings](), [software](), [time](), [ubuntu](), [ubuntu-benchmarks](), [ubuntu-hardware](), [ui](), [wayland](), [workstation]() ### AI overview GNOME 51 has been released with improved frame scheduling and desktop responsiveness, new Wayland protocol support, removal of legacy NVIDIA EGLStreams driver support, and updates to several GNOME applications and settings. ### Source excerpt Right on schedule and in time for appearing in the likes of Ubuntu 26.10 and Fedora Workstation 45, the GNOME 51 desktop is officially released... ## 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. ## Enterprises are sweating legacy IT assets as AI investment grows DevFeed: [Enterprises are sweating legacy IT assets as AI investment grows]() Original publisher: [Read original article]() Author: Dan Robinson Published: 2026-09-16T16:15:00Z Content type: article Language: en Sources: [www.theregister.com - Articles]() Topics: [legacy](), [Hardware](), [mainframes](), [data](), [business logic](), [Artificial Intelligence]() Tags: [ai](), [artificial-intelligence](), [business-logic](), [data](), [ensono](), [hardware](), [it-modernization](), [legacy](), [legacy-systems](), [mainframes](), [systems]() ### AI overview The article examines how enterprises are dealing with legacy IT assets as AI investment grows. It reports that mainframes and other hardware may contain the data and business logic needed to build AI services. ### Source excerpt Hardware such as mainframes found to hold the data and business logic needed to build those AI services ## Researchers link the RubyHack campaign to alleged OpenAI-connected agents, while RubyGems disputes key claims DevFeed: [Researchers link the RubyHack campaign to alleged OpenAI-connected agents, while RubyGems disputes key claims]() Original publisher: [Read original article]() Author: amaksimovv (CodeScoring) Published: 2026-09-16T15:08:49Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [rubygems](), [Ruby](), [OpenAI](), [legacy](), [API]() Tags: [api](), [appsec](), [cdn](), [gemstuffer](), [legacy](), [load](), [openai](), [ruby](), [rubydoc](), [rubygems](), [rubyhack](), [tag-070ecaaf0eda](), [tag-64251c106897](), [yard]() ### AI overview Researchers from Nightingale Collective linked the RubyHack campaign in RubyGems to alleged internal OpenAI agents. The article describes malicious code executed during RubyDoc documentation builds, data collection from British municipal websites, attempts to obtain RubyGems API keys, and a caching flaw involving legacy keys. RubyGems said it could not independently identify the package creators and found no evidence that чужие keys were successfully obtained. ### Source excerpt 11 сентября исследователи Nightingale Collective опубликовали разбор RubyHack и связали майскую кампанию в RubyGems с внутренними агентами OpenAI. По их версии, скрипты внутри пакетов запускали код в инфраструктуре RubyDoc, собирали открытые данные с сайтов британских муниципалитетов и публиковали результаты обратно в реестр. В нескольких образцах исследователи также обнаружили попытки получить чужие API-ключи RubyGems. Команда RubyGems не смогла независимо установить, кем именно были созданы пакеты, и не нашла доказательств успешного получения чужих ключей. Во время майской кампании она отозвала вредоносные пакеты и на четыре дня остановила регистрацию новых пользователей. Одной из точек входа стала обычная сборка документации. В пакет добавляли .yardopts - файл параметров генератора YARD - с указанием загрузить Ruby-скрипт. Когда для пакета запрашивали документацию на RubyDoc, сборщик обрабатывал этот файл и запускал вложенный код. Такое поведение соответствует механике самого YARD: параметр --load загружает указанный Ruby-файл перед выполнением команды. Запущенный скрипт обращался к муниципальным сайтам, сохранял ответы, собирал из них новый .gem-архив и отправлял его в RubyGems со встроенным ключом. В результате реестр использовался как канал передачи и хранения собранных данных. Установка такого пакета множеством разработчиков для работы этой схемы не требовалась: достаточно было исполнения кода в сервисе сборки документации. Отдельные пакеты обращались к старому endpoint выдачи API-ключей. В нём действовала ошибка кэширования: при определённых условиях CDN мог сохранить ответ с legacy-ключом и до часа отдавать его следующим запросам на том же узле. RubyGems исправил проблему 9 июля, очистил кэш, отозвал legacy-ключи и затем отключил старый endpoint. Читать далее ## 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 ## Cisco UCS Manager: Celebrating the legacy, shaping the future with Cisco Intersight DevFeed: [Cisco UCS Manager: Celebrating the legacy, shaping the future with Cisco Intersight]() Original publisher: [Read original article]() Author: Jacob Van Ewyk Published: 2026-09-15T21:00:37Z Content type: opinion Language: en Sources: [Cisco Blogs]() Topics: [Cisco](), [Server](), [Automation](), [configuration](), [API](), [legacy]() Tags: [api](), [automation](), [cisco](), [data-center](), [end-of-life](), [eol](), [infrastructure](), [legacy](), [lifecycle](), [management](), [server]() ### AI overview Cisco describes the legacy of Cisco UCS Manager and positions Cisco Intersight as the strategic platform for future Cisco UCS software management. The article also outlines announced end-of-sale and end-of-life milestones, including a planned Last Date of Support of December 31, 2030, subject to applicable contracts and service terms. ### Source excerpt Cisco UCS Manager shaped 17 years of infrastructure management. Now, with its end-of-life announced, Cisco Intersight carries that foundation forward with centralized visibility, automation, and scale. Learn the key dates for the UCS Manager EOL. ## See How Organizations Achieved 137% ROI with VMware Cloud Foundation 9 DevFeed: [See How Organizations Achieved 137% ROI with VMware Cloud Foundation 9]() Original publisher: [Read original article]() Author: vmwareblogs Published: 2026-09-08T15:00:00Z Content type: article Language: en Sources: [VMware Blogs]() Topics: [Cloud](), [Provisioning](), [systems](), [Security]() Tags: [cloud](), [cloud-infrastructure](), [compliance](), [cost](), [efficiency](), [financial](), [home-page](), [infrastructure](), [legacy](), [private-cloud](), [provisioning](), [survey](), [vcf-9-0](), [vcf-9-1](), [vmware](), [vmware-cloud-foundation](), [webinar]() ### AI overview The article presents a commissioned Forrester Consulting Total Economic Impact study of VMware Cloud Foundation 9. Based on interviews with eight customers and a survey of 55 customers over a modeled three-year period, it describes projected financial and operational benefits for large enterprises running VCF 9 in production, including lower infrastructure costs, reduced operational effort, less downtime, faster delivery, tool consolidation, and improved security and compliance. The title reports 137% ROI. ### Source excerpt Enterprises running private cloud face a common question: what does the investment actually deliver? To answer it, we commissioned Forrester Consulting to conduct an independent New Technology Total Economic Impact (TEI) study on VMware Cloud Foundation 9 (VCF 9). Forrester interviewed decision-makers at organizations running VCF 9 and surveyed additional customers to develop a composite ... Continued The post See How Organizations Achieved 137% ROI with VMware Cloud Foundation 9 appeared first on VMware Blogs. ## How financial services companies can modernize their software supply chain DevFeed: [How financial services companies can modernize their software supply chain]() Original publisher: [Read original article]() Published: 2026-09-04T00:00:00Z Content type: article Language: en Sources: [Chainguard: Unchained]() Topics: [supply-chain-security](), [open-source-security](), [Security](), [Vulnerabilities](), [Business Security]() Tags: [cve](), [dependency](), [financial-services](), [legacy](), [security](), [software-supply-chain-security](), [vulnerabilities]() ### AI overview This article argues that financial services organizations should modernize software supply chain security while preserving business-critical systems. It explains that legacy infrastructure, regulatory obligations, and downtime concerns have encouraged deferred vulnerability remediation, but AI-assisted exploitation is making that risk increasingly dangerous. ### Source excerpt Modernize your financial software supply chain without disrupting critical systems. See how trusted open source reduces risk without major migrations. ## Core Banking Modernization with Temenos Core and CockroachDB DevFeed: [Core Banking Modernization with Temenos Core and CockroachDB]() Original publisher: [Read original article]() Author: Nanda Badrappan,Muruga Balakrishnan Published: 2026-08-24T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [Cockroach Labs](), [Data Infrastructure](), [Availability](), [real-time](), [Resilience](), [Transactions](), [legacy](), [SQL](), [Cloud](), [systems](), [on-prem]() Tags: [availability](), [cloud](), [cockroach-labs](), [cockroachdb](), [data-infrastructure](), [legacy](), [on-prem](), [real-time](), [resilience](), [sql](), [transactions]() ### AI overview This article explains why banks are modernizing legacy core banking infrastructure. It describes how Temenos Core and CockroachDB are positioned to support real-time transaction processing, continuous availability, distributed operations, resilience, and regulatory requirements. ### Source excerpt Banking has become an always-on business. Customers expect instant payments, accurate balances, and continuous access to financial services... ## Fine-Grained Access Control Now Available for All Heroku Customers DevFeed: [Fine-Grained Access Control Now Available for All Heroku Customers]() Original publisher: [Read original article]() Author: Alberto Sigismondi Published: 2026-08-21T17:07:29Z Content type: release Language: en Sources: [Heroku]() Topics: [Heroku](), [Access Control](), [Security](), [IAM](), [Zero Trust](), [legacy]() Tags: [access-control](), [deploy](), [heroku](), [iam](), [identity-and-access-management](), [least-privilege](), [legacy](), [news](), [permissions](), [pipelines](), [security](), [security-compliance](), [zero-trust]() ### AI overview Heroku announces that Fine-Grained Access Control is available to all customers. The feature replaces fixed legacy roles with capability-based roles and app-specific permissions for roles such as view, deploy, operate, and manage. ### Source excerpt Fine-Grained Access Controls is now available to all Heroku customers. Heroku's legacy system gave you predefined roles like admin, member, or collaborator, each with a fixed bundle of permissions. It replaces that system with fine-grained roles like view, deploy, operate, and manage, with specific capability sets. Access control is managed at an app-specific layer, giving [...] The post Fine-Grained Access Control Now Available for All Heroku Customers appeared first on Heroku. ## Why agentic AI starts with legacy modernisation DevFeed: [Why agentic AI starts with legacy modernisation]() Original publisher: [Read original article]() Author: Suzanne Angell Published: 2026-08-21T09:33:00Z Content type: opinion Language: en Sources: [Scott Logic]() Topics: [Artificial Intelligence](), [AI Agent](), [legacy](), [legacy systems](), [data](), [Processes]() Tags: [agentic-ai](), [agents](), [ai-agents](), [artificial-intelligence](), [data](), [governance](), [integration](), [legacy](), [legacy-modernisation](), [operational-risk](), [processes](), [risk-management]() ### AI overview The article argues that organisations must address fragmented data, brittle processes, and outdated architectures before they can realise the full value of agentic AI. It explains that legacy systems may remain operationally critical, while accumulated technical, process, and organisational debt can prevent agents from accessing reliable information and executing workflows consistently. ### Source excerpt Organisations are increasingly excited by the potential of agentic AI, but many overlook the legacy obstacles that stand in the way. In this post, I explore why successful AI adoption depends on tackling fragmented data, brittle processes and outdated architectures, and why modernisation is often the most important step towards unlocking value from intelligent agents. ## "Just rewrite it": What platform teams really think about modernization DevFeed: ["Just rewrite it": What platform teams really think about modernization]() Original publisher: [Read original article]() Author: Aarthi Mahesh Published: 2026-08-06T16:00:00Z Content type: opinion Language: en Sources: [Kubernetes Overview, News and Trends | The New Stack]() Topics: [Platform Engineering](), [Kubernetes](), [on-prem](), [Cloud]() Tags: [ai-infrastructure](), [cloud-native](), [cost](), [infrastructure](), [kubernetes](), [legacy](), [modernization](), [nutanix](), [platform](), [platform-engineering](), [post](), [sponsor-nutanix](), [sponsored](), [sponsored-post]() ### AI overview The article argues that platform teams often operate separate cloud-native/Kubernetes and virtual-machine environments, creating duplicated infrastructure, expertise, governance, and costs. It contends that rewriting mission-critical applications is often not a practical modernization strategy and recommends retaining them while expanding cloud-native platforms. ### Source excerpt Mergers, acquisitions, and the steady churn of business and technology initiatives are creating something nobody asked for: Duplicate infrastructure and The post "Just rewrite it": What platform teams really think about modernization appeared first on The New Stack. ## The Pulse: Bending Spoons' Acquisition Strategy DevFeed: [The Pulse: Bending Spoons' Acquisition Strategy]() Original publisher: [Read original article]() Author: Gergely Orosz Published: 2026-08-05T11:45:13Z Content type: opinion Language: en Sources: [The Pragmatic Engineer]() Topics: [migration](), [Architecture & Design](), [Microservices](), [Java](), [virtual machines](), [Cloud](), [Google Cloud Platform (GCP)](), [legacy application]() Tags: [architecture](), [backend](), [cloud](), [google-cloud](), [java](), [legacy](), [microservices](), [migration](), [performance](), [provisioning](), [virtual-machines]() ### AI overview The article examines Bending Spoons' acquisition strategy, including its announced $1.285 billion cash purchase of Airtable and its approach to operating struggling products with smaller teams. It also describes the company's reported modernization of Evernote from a Java 11 monolith running across 750 manually provisioned virtual machines on Google Cloud to a managed-database and microservices architecture in about six months, with reported improvements in performance, reliability, operating cost, and on-call load. ### Source excerpt In only 5 years, Hopin went from zero to a $7.7B valuation, and back to zero again. Also: Bending Spoons' startup acquisition model. ## Four pillars of agentic AI success DevFeed: [Four pillars of agentic AI success]() Original publisher: [Read original article]() Author: Simon Sear Published: 2026-07-29T15:47:00Z Content type: article Language: en Sources: [Scott Logic]() Topics: [Artificial Intelligence](), [Software Engineering](), [data](), [legacy](), [systems](), [context]() Tags: [accessibility](), [agentic-ai](), [ai](), [ai-accelerated-development](), [ai-agents](), [architecture](), [artificial-intelligence](), [context](), [data](), [data-architecture](), [data-governance](), [data-strategy](), [delivery](), [engineering](), [governance](), [legacy](), [legacy-modernisation](), [software-engineering](), [systems]() ### AI overview This article argues that organizations need strong foundations before scaling agentic AI. It identifies four pillars: modernizing legacy systems, building reliable data foundations and architecture, managing governance and risk, and democratizing access to data. ### Source excerpt Everyone is talking about agentic AI. That's not surprising. The promise is huge: AI agents that can plan, reason, use tools, work across systems and get real work done. In software engineering, that could mean faster delivery and better quality. In operations, it could mean complex processes moving with less manual effort, fewer handovers and better decisions. ## Codename One Settings Is Now a Standalone Tool DevFeed: [Codename One Settings Is Now a Standalone Tool]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-07-18T00:00:00Z Content type: release Language: en Sources: [CodeName One]() Topics: [configuration](), [Spring Boot](), [Extension](), [App]() Tags: [build](), [dependencies](), [desktop](), [extensions](), [install](), [legacy](), [project](), [tests](), [themes](), [ui]() ### AI overview Codename One Settings has been replaced by a standalone desktop application distributed through a Codename One Maven project. It focuses on project properties, build hints, themes, and extensions while keeping project files as the source of truth. ### Source excerpt Codename One Settings is now a focused Maven-distributed desktop tool for project identity, build hints, themes, and extensions. ## Broken Systems Don't Need More Developers DevFeed: [Broken Systems Don't Need More Developers]() Original publisher: [Read original article]() Author: Valentina Jemuović Published: 2026-07-14T09:12:34Z Content type: opinion Language: en Sources: [Optivem Journal]() Topics: [systems](), [legacy](), [Back end](), [Test-driven development]() Tags: [architecture](), [code-reviews](), [developers](), [engineering](), [legacy](), [legacy-code](), [meetings](), [merge](), [onboarding]() ### AI overview Adding developers to a tightly coupled legacy system may slow progress because onboarding, interruptions, meetings, code reviews, and merge conflicts increase. The article argues that architecture, rather than team size, is the main bottleneck. ### Source excerpt If four developers aren't delivering fast enough, why not make it eight? ## Your Architecture Doesn't Rot Overnight DevFeed: [Your Architecture Doesn't Rot Overnight]() Original publisher: [Read original article]() Author: Valentina Jemuović Published: 2026-07-07T06:00:37Z Content type: opinion Language: en Sources: [Optivem Journal]() Topics: [legacy](), [systems](), [Software](), [Test-driven development]() Tags: [architecture](), [business-logic](), [code](), [dependency](), [legacy](), [refactor](), [requirements]() ### AI overview The article explains how repeated convenience-driven decisions gradually weaken boundaries between business logic and infrastructure. It argues that architectural decay often remains hidden while the application works and tests pass, eventually making seemingly simple changes difficult to locate and implement. ### Source excerpt As deadlines become tighter, convenience starts winning. ## TDD in Legacy Code - Maintainable Component Tests - Backend DevFeed: [TDD in Legacy Code - Maintainable Component Tests - Backend]() Original publisher: [Read original article]() Author: Valentina Jemuović Published: 2026-07-02T06:02:41Z Content type: tutorial Language: en Sources: [Optivem Journal]() Topics: [Back end](), [Test-driven development](), [legacy]() Tags: [api](), [backend](), [component](), [erp](), [legacy](), [legacy-code](), [refactor](), [tdd](), [tests]() ### AI overview A tutorial on refactoring brittle backend component tests that are coupled to a backend API and ERP system, with the goal of making them more maintainable. ### Source excerpt Many Backend Teams write unmaintainable Backend Component Tests - coupled to the Backend API and ERP. I'll show you how to refactor these brittle tests. ## Community Comebacks, Angular 21.1 Features, and Smarter Signal Forms ⚡ DevFeed: [Community Comebacks, Angular 21.1 Features, and Smarter Signal Forms ⚡]() Original publisher: [Read original article]() Author: Angular Published: 2026-06-19T10:01:04Z Content type: article Language: en Sources: [Angular]() Topics: [Angular](), [Forms](), [async](), [Open Source](), [legacy](), [migration]() Tags: [angular](), [angular-newsletter](), [angular-release](), [angular-weekly](), [async](), [asynchronous](), [forms](), [legacy](), [migration](), [open-source]() ### AI overview This Angular community roundup covers podcast episodes about Angular 20 and developer career setbacks, a recap of Angular 21.1, Signal Forms techniques for asynchronous validators and debouncing, dynamic form lists, an interview about joining the Angular team, and migration to modern Control Flow syntax. ### Source excerpt The Angular community is about much more than just code -- it's about the people building it, their career journeys, and how we collaborate. This week's roundup features inspiring community stories alongside technical deep dives into the Angular 21.1 features and advanced form tuning. Tune into this week's excellent community resources The Dev Life Podcast: Inside Angular 20 & Navigating Layoffs Brooke Avery @JediBravery and Matthew Christiansen back-to-back drop two must-listen episodes of The Dev Life podcast. First, they sit down with Minko Gechev @mgechev to go inside the engineering decisions of Angular 20. Then, they host GDE Chris Perko for an incredibly timely, candid conversation about bouncing back from tech layoffs and turning career setbacks into massive opportunities. Listen to Ep. 3 (Inside Angular 20): https://www.youtube.com/watch?v=QhfXXXzOD6g Listen to Ep. 4 (Navigating Layoffs): https://www.youtube.com/watch?v=laYzvyEDtw8 What was new in Angular 21.1? Alain Chautard @AlainChautard provides a fantastic, concise recap of the January Angular release. If you want to know what minor features, bug fixes, and performance polishes landed in Angular 21.1, this is your go-to guide. Read the release recap: https://blog.angulartraining.com/whats-new-in-angular-21-1-7454f699104f Stop Wasting API Calls! Async Validators & Debouncing Fanis Prodromou @prodromouf tackles a massive real-world performance issue in form handling. Learn how to combine asynchronous validators with debouncing in the Signal Forms API to keep your backend from being overwhelmed by unnecessary API requests. Watch the tutorial: https://youtu.be/R10dQ4zlWs0 Dynamic Lists & Joining the Angular Team (French) Modeste Assiongbon @rblmdst shares two incredible French-language videos this week. Dive into a technical walkthrough on handling dynamic field lists using Signal Forms. Then, catch an inspiring interview with Matthieu Riegler @Jean_Meche, tracking his journey from a casual open-source cont ## Works on my machine: how we use AI to reproduce reported bugs DevFeed: [Works on my machine: how we use AI to reproduce reported bugs]() Original publisher: [Read original article]() Author: Neel Shah Published: 2026-06-08T09:00:00Z Content type: article Language: en Sources: [Sentry Blog]() Topics: [Claude](), [SDKs](), [bug](), [Artificial Intelligence](), [Development](), [GitHub](), [Open Source](), [Python](), [Django](), [Boilerplate](), [Concurrency](), [legacy]() Tags: [ai](), [bugs](), [claude](), [concurrency](), [django](), [frameworks](), [github](), [legacy](), [open-source](), [python](), [sdks]() ### AI overview Sentry's SDK teams use a Claude skill to automate parts of reproducing reported bugs, including setting up boilerplate environments and playgrounds with the required parameters. The approach is intended to reduce triage time across the team's large SDK ecosystem. ### Source excerpt How Sentry's SDK team built a Claude skill to auto-reproduce bug reports, reducing triage time across 159 packages. ## Beyond the Menu Tree: How Yelp Built a Smarter Customer Success Chatbot with AI DevFeed: [Beyond the Menu Tree: How Yelp Built a Smarter Customer Success Chatbot with AI]() Original publisher: [Read original article]() Author: Lina Lee, Machine Learning Engineer; Nelson Lee, Engineering Manager Published: 2026-05-27T00:00:00Z Content type: article Language: en Sources: [Yelp]() Topics: [Retrieval Augmented Generation (RAG)](), [Support](), [AI Chat](), [Large Language Model](), [AI Development]() Tags: [ai](), [architecture](), [customer](), [deep-dive](), [engineering](), [large-language-model](), [legacy](), [llm](), [rag](), [retrieval](), [support](), [technical](), [workflow]() ### AI overview Yelp describes replacing its legacy Customer Success chatbot's fixed menu and phrase matching with an LLM-assisted system connected to an internal knowledge base through a Retrieval Augmented Generation pipeline. The system routes customer queries into specialized workflows, including question answering, refunds, and billing. ### Source excerpt The Evolution of Support: From Fixed Phrases to Conversation At Yelp, delivering responsive and accurate customer support is a core priority. For years, our legacy Customer Success (CS) Chatbot provided support by guiding users through a static support experience. Users either navigated a 2-step menu tree or typed a query that was matched against a fixed set of phrases to retrieve an answer. While functional, the legacy chatbot had a key limitation: its reliance on rigid matching meant that if a query didn't fit the menu structure or precisely match a known phrase, the user wouldn't be able to get... ## Applying OpenTelemetry Security Practices in Legacy Environments DevFeed: [Applying OpenTelemetry Security Practices in Legacy Environments]() Original publisher: [Read original article]() Author: OpenTelemetry Authors; Docs CC BY Published: 2026-05-19T13:38:41Z Content type: article Language: en Sources: [Blog on OpenTelemetry]() Topics: [OpenTelemetry](), [Security](), [observability](), [telemetry](), [systems](), [Architecture & Design](), [Networks](), [Instrumentation]() Tags: [architectures](), [legacy](), [observability](), [opentelemetry](), [security](), [systems](), [telemetry]() ### AI overview This article explains how securing OpenTelemetry in legacy and industrial environments differs from securing cloud-native systems. It focuses on applying controls at appropriate points in the telemetry pipeline when source systems cannot be modified, instrumented, patched regularly, or protected with modern authentication and TLS. ### Source excerpt OpenTelemetry is gaining traction in manufacturing and other legacy environments as organizations explore modern observability approaches. However, applying these practices in traditional systems introduces a different set of security challenges. The constraints of legacy infrastructure fundamentally change where and how security controls must be applied. Legacy and industrial environments often include: Systems that cannot be modified or instrumented Long equipment life cycles and limited patching windows Flat or weakly segmented networks Sensitive operational data that is not typical PII This article focuses on what is different about securing OpenTelemetry in these environments, and how to adapt your approach accordingly. [Next page]()