# Sponsored Published articles for Sponsored. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Reimagining advertising with AI DevFeed: [Reimagining advertising with AI]() Original publisher: [Read original article]() Published: 2026-09-16T13:00:00Z Content type: release Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [ChatGPT](), [hubspot](), [Shopify]() Tags: [advertising](), [agents](), [ai](), [chatgpt](), [hubspot](), [integrations](), [openai](), [plugin](), [product](), [shopify](), [sponsored]() ### AI overview OpenAI introduces AI-powered advertising features in ChatGPT, including Sponsored Agents that let users converse with select business-sponsored agents after viewing an ad. It also adds prompt-based campaign tools and AI creative tools, plus integrations with HubSpot and Shopify. ### Source excerpt Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify. ## Agents operate, humans govern: Scale your operations and reduce toil with Azure SRE Agent DevFeed: [Agents operate, humans govern: Scale your operations and reduce toil with Azure SRE Agent]() Original publisher: [Read original article]() Author: TNS Staff Published: 2026-09-15T16:21:45Z Content type: article Language: en Sources: [The New Stack]() Topics: [SRE](), [incident](), [Azure](), [observability](), [DevOps](), [Redis]() Tags: [agent](), [ai-agents](), [ai-operations](), [azure](), [code-review](), [deployment](), [devops](), [incident](), [microsoft-azure](), [monitoring](), [observability](), [post](), [redis](), [sponsor-microsoft-azure](), [sponsored](), [sponsored-post](), [sre](), [telemetry]() ### AI overview The article describes Azure SRE Agent as a system that analyzes telemetry, correlates deployment and monitoring data, investigates incidents, identifies root causes, recommends or prepares fixes, and supports mitigation and other operational tasks under human approval. It cites examples involving Microsoft service teams and InEight, including a recommendation to scale Redis. ### Source excerpt What if engineers could spend their time building and optimizing systems rather than maintaining them? It's 3 a.m., and the The post Agents operate, humans govern: Scale your operations and reduce toil with Azure SRE Agent appeared first on The New Stack. ## DigiCert's AI Trust framework for governing enterprise AI agents and models DevFeed: [DigiCert's AI Trust framework for governing enterprise AI agents and models]() Original publisher: [Read original article]() Author: Robin Birtstone Published: 2026-09-15T15:00:00Z Content type: article Language: en Sources: [www.theregister.com - Articles]() Topics: [ai-governance](), [AI Agent](), [Authorization](), [Security](), [data]() Tags: [agents](), [ai](), [ai-governance](), [authorization](), [data](), [security](), [sponsored]() ### AI overview This sponsored feature presents DigiCert's AI Trust framework for governing enterprise AI agents. The framework uses public key infrastructure, DNS, and attestation to help organizations identify agents, track data and credentials, stop compromised agents, and reconstruct incidents. ### Source excerpt SPONSORED FEATURE: DigiCert wants to hand every agent a passport, complete with an expiry date and a named human owner ## How Everpure proposes reducing GPU idle time by improving AI data access DevFeed: [How Everpure proposes reducing GPU idle time by improving AI data access]() Original publisher: [Read original article]() Author: Chris Mellor Published: 2026-09-15T08:00:00Z Content type: article Language: en Sources: [www.theregister.com - Articles]() Topics: [AI Infrastructure](), [GPU](), [Large Language Model](), [Retrieval Augmented Generation (RAG)](), [AI Agent](), [data-processing](), [data]() Tags: [agents](), [ai](), [ai-infrastructure](), [ai-ml](), [data-processing](), [gpu](), [hardware](), [rag](), [sponsored]() ### AI overview This sponsored feature describes Everpure's approach to reducing GPU idle time in AI systems by improving access to large-scale insurance data. It discusses central metadata indexing, storage performance, self-describing data, and integration with Nvidia GPU infrastructure for AI agents and retrieval-augmented generation. ### Source excerpt SPONSORED FEATURE: The vendor's AI solutions are dedicated to increasing GPU utilization and avoiding costly GPUs doing nothing while waiting for data ## Design in KiCad, Quote with AIVON: A Faster Path to PCB Prototyping (Sponsored) DevFeed: [Design in KiCad, Quote with AIVON: A Faster Path to PCB Prototyping (Sponsored)]() Original publisher: [Read original article]() Author: Sponsored Post Published: 2026-09-15T02:00:57Z Content type: article Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Hardware](), [systems]() Tags: [aivon](), [engineering](), [hardware](), [kicad](), [manufacturing](), [pcb](), [plugin](), [prototyping](), [sponsored](), [verification](), [workflow]() ### AI overview AIVON's official KiCad Plugin connects a completed PCB layout to an online quotation form. After design-rule checking, it prepares manufacturing data and reduces manual exporting, zipping, uploading, and form entry during PCB prototyping. ### Source excerpt Finished your PCB layout in KiCad? You don't necessarily need to leave the PCB Editor, export a separate set of manufacturing files, and manually upload them to a PCB manufacturer. AIVON's KiCad Plugin creates a direct path from your PCB design to an online PCB quote. AIVON has integrated an official KiCad plugin that connects a finished PCB layout to the company's online quotation page. After DRC, users can click the plugin in the PCB Editor, automatically prepare manufacturing data, and land on a pre-filled quote form instead of exporting, zipping, and uploading files by hand. Rather than introducing a new plugin framework, AIVON's integration leverages KiCad's existing Plugin and Content Manager ecosystem. For developers who already use KiCad for schematic capture and PCB layout, the integration provides another way to connect the design stage with PCB fabrication without manually repeating every manufacturing-file preparation step. Connecting KiCad PCB Design with [...] The post Design in KiCad, Quote with AIVON: A Faster Path to PCB Prototyping (Sponsored) appeared first on CNX Software - Embedded Systems News. ## Your Donations at Work: One Year of Sponsored Servo Development DevFeed: [Your Donations at Work: One Year of Sponsored Servo Development]() Original publisher: [Read original article]() Author: The Servo Project Developers Published: 2026-09-15T00:00:00Z Content type: article Language: en Sources: [Servo Blog]() Topics: [servo](), [Maintainers](), [pull-requests](), [Development]() Tags: [contributions](), [development](), [documentation](), [flaky-tests](), [maintainers](), [pull-requests](), [rust](), [servo](), [servo-engine](), [servo-rendering-engine](), [sponsored](), [web-browser](), [web-browser-engine](), [web-engine](), [web-rendering-engine]() ### AI overview A Servo maintainer reviews a year of part-time work funded by monthly donations, including nominating new maintainers, reviewing pull requests, filing contributor-focused issues, writing documentation, improving flaky tests, and supporting JavaScript engine integration work. ### Source excerpt Last September, the Servo project announced that long-time maintainer Josh Bowman-Matthews (@jdm) would work part-time on improving the Servo contributor experience, entirely funded by the monthly donations on OpenCollective and GitHub. In his own words, here is a look back over the past year! First of all, I am enormously grateful to everyone who financially supports Servo, as those donations have enabled me to devote significant time to a project that I care a lot about. Some highlights from that funded work that I'm proud of: I nominated 8 new maintainers I reviewed 1150 pull requests I filed 114 issues targeted at newer contributors (92% of them have been fixed) I wrote new documentation about borrow hazards, experimental features, the AI policy, finding things to do, and fixing stable and intermittent test failures On top of that, I spent time diagnosing unexpected failures in others' PRs and fixed numerous intermittent test failures that made merging PRs more difficult for everyone. A few pieces of work from this period that stand out to me: supporting a large scale rewrite of Servo's JS engine integration to address intermittent panics related to garbage collection--I reviewed lots of pull requests, but also filed many issues that enabled the work addressing the panics to be spread across many other contributors getting tagged in to help understand test failures, uncovering our broken window.open behaviour, and eventually making a lot of flaky tests more stable supporting another contributor's grant proposal to work on Servo that was approved! This role I've carved out means a lot to me--I've found a healthy balance that allows me to spend time with my family as well as make meaningful contributions to Servo, and I get to spend a lot of time looking for ways to make the project more accessible for others. A big thank you to everybody supporting the project and my work; each individual monthly donation makes a big difference! I'm excited to see what's possible i ## Chip Huyen explains how to cut inference costs without new hardware DevFeed: [Chip Huyen explains how to cut inference costs without new hardware]() Original publisher: [Read original article]() Author: Tim Koopmans Published: 2026-09-13T15:00:00Z Content type: article Language: en Sources: [The New Stack]() Topics: [Inference Performance](), [Low-Latency Inference](), [model-deployment](), [Optimization](), [Frontier Model](), [AI Engineering](), [Latency](), [math]() Tags: [ai](), [ai-agents](), [ai-engineering](), [ai-infrastructure](), [frontier-model](), [inference](), [low-latency](), [metrics](), [optimization](), [performance](), [post-contributed](), [reasoning](), [scylladb](), [sponsor-scylladb](), [sponsored](), [sponsored-post-contributed](), [tokens]() ### AI overview Chip Huyen explains why inference costs can outweigh one-time frontier-model training costs and outlines ways to optimize inference without new hardware. The article emphasizes latency metrics such as time to first token, time per output token, end-to-end latency, and goodput, especially for reasoning models. ### Source excerpt Last October, the P99 conference -- the online gathering for developers focused on high-performance, low-latency applications -- featured a cracking The post Chip Huyen explains how to cut inference costs without new hardware appeared first on The New Stack. ## It passed CI. It passed your evals. The customer still got the wrong answer. DevFeed: [It passed CI. It passed your evals. The customer still got the wrong answer.]() Original publisher: [Read original article]() Author: Sean O'Dell Published: 2026-09-13T14:00:00Z Content type: article Language: en Sources: [The New Stack]() Topics: [AI Agent](), [agent observability](), [observability](), [tracing](), [dynatrace](), [ci](), [coding]() Tags: [ai](), [ai-agent](), [ai-agents](), [ai-engineering](), [ci](), [coding](), [dynatrace](), [observability](), [post-contributed](), [sponsor-dynatrace](), [sponsored](), [sponsored-post-contributed](), [traces]() ### AI overview The article explains how AI-agent failures can pass CI and evaluations while still producing slow or incorrect customer-facing results. It presents distributed traces and agent trajectories--model calls, tool calls, arguments, and results--as evidence for debugging retrieval behavior, release context, and feature-flag state. ### Source excerpt A diff is not evidence. It's a statement of intent. The tests passed. The review's done. The change is live. The post It passed CI. It passed your evals. The customer still got the wrong answer. appeared first on The New Stack. ## The AI-native SDLC won't be one process DevFeed: [The AI-native SDLC won't be one process]() Original publisher: [Read original article]() Author: Anirudh Ramanathan Published: 2026-09-12T14:00:00Z Content type: opinion Language: en Sources: [The New Stack]() Topics: [AI Bots]() Tags: [agents](), [ai](), [ai-engineering](), [anthropic](), [compliance](), [devops](), [dynatrace](), [github](), [kiro](), [platform-engineering](), [post-contributed](), [sdlc](), [signadot](), [spec-driven-development](), [sponsor-dynatrace](), [sponsor-signadot](), [sponsored](), [sponsored-post-contributed]() ### AI overview The article argues that AI-native software development needs risk- and accountability-based process variants rather than one fixed, spec-driven workflow. It emphasizes deterministic policy enforcement, agent self-checks, human approvals, and auditable records. ### Source excerpt Anthropic recently published its AI-Native SDLC Playbook. Its central claim is that "code is no longer the bottleneck." When agents The post The AI-native SDLC won't be one process appeared first on The New Stack. ## 47,000 job listings reveal the engineering roles that AI is creating DevFeed: [47,000 job listings reveal the engineering roles that AI is creating]() Original publisher: [Read original article]() Author: Jennifer Riggins Published: 2026-09-10T13:09:28Z Content type: news Language: en Sources: [The New Stack]() Topics: [Machine Learning & Artificial Intelligence](), [AI Development](), [Machine learning]() Tags: [ai](), [ai-engineering](), [ai-strategy](), [andela](), [engineering](), [jobs](), [machine-learning](), [post](), [skills](), [sponsor-andela](), [sponsored](), [sponsored-post](), [tech-careers](), [work]() ### AI overview Andela's analysis of 47,000 Fortune 500 engineering job postings identifies emerging AI-related roles formed by combining established skill sets. The article argues that organizations should use AI to delegate suitable work while retaining human expertise and specialization. ### Source excerpt Every major transformation in tech has led to roles merging, then new ones emerging. Friction between developers and operations drove The post 47,000 job listings reveal the engineering roles that AI is creating appeared first on The New Stack. ## AI floods security teams with flaws -- business context sets priorities DevFeed: [AI floods security teams with flaws -- business context sets priorities]() Original publisher: [Read original article]() Author: Megan Carnegie Published: 2026-09-10T12:00:00Z Content type: article Language: en Sources: [The New Stack]() Topics: [vulnerability](), [Cybersecurity](), [Business Security]() Tags: [ai](), [business](), [cloud-services](), [i-o-mergent](), [post](), [security](), [sponsor-i-o-mergent](), [sponsored](), [sponsored-post](), [vulnerability]() ### AI overview The article argues that security teams should prioritize vulnerabilities using business context rather than scanner severity alone, because automated findings can overwhelm limited engineering capacity. ### Source excerpt A security researcher testing a 300-person B2B company with a global footprint discovered an internet-exposed database with weak authentication during The post AI floods security teams with flaws -- business context sets priorities appeared first on The New Stack. ## Java's age is its AI superpower DevFeed: [Java's age is its AI superpower]() Original publisher: [Read original article]() Author: Ryan Donovan Published: 2026-09-09T04:45:00Z Content type: opinion Language: en Sources: [Stack Overflow Blog]() Topics: [coding](), [Training AI Models]() Tags: [agent](), [agentic](), [ai](), [buiilding-software](), [coding](), [data](), [ecosystem](), [history](), [ibm](), [java](), [podcast](), [se-stackoverflow](), [se-tech](), [sponsored](), [training]() ### AI overview A podcast episode argues that Java's longevity, training-data footprint, libraries, and agentic tooling make it a strong fit for coding agents. ### Source excerpt Ryan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java. ## OpenNMC is an open replacement for expensive APC management cards DevFeed: [OpenNMC is an open replacement for expensive APC management cards]() Original publisher: [Read original article]() Author: jeff@jeffgeerling.com (Jeff Geerling) Published: 2026-09-08T16:00:00Z Content type: article Language: en Sources: [Jeff Geerling]() Topics: [Opennmc](), [Homelab](), [Hardware](), [Open Source](), [GitLab](), [Ethernet](), [USB](), [Crowd Supply](), [Reddit]() Tags: [apc](), [ethernet](), [firmware](), [gitlab](), [hardware](), [homelab](), [open-source](), [opennmc](), [sponsored](), [ups](), [usb]() ### AI overview The article tests OpenNMC, an open-source replacement for proprietary APC UPS management cards. It describes hot-pluggable installation, built-in NUT server support, Ethernet and wireless connectivity, and an initial USB-C serial setup. ### Source excerpt UPSes are typically the most boring part of your homelab, but they're important. One of their main jobs is to give servers time to shut down safely if the power goes out. Another job is to condition your power so your servers can run smoothly. To do both of those things well, you need a smart interface. And at least with APC, there are tons of older UPSes that use Network Management Cards. The one pictured below is the NMC 2, and I pulled out of my old APC Smart-UPS 2200 XL (pictured above). ## Reverse Engineering Without CAD Data: How MetroY Ultra Turns Physical Parts into Digital Designs (Sponsored) DevFeed: [Reverse Engineering Without CAD Data: How MetroY Ultra Turns Physical Parts into Digital Designs (Sponsored)]() Original publisher: [Read original article]() Author: Sponsored Post Published: 2026-09-07T10:00:42Z Content type: article Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [Reverse Engineering](), [Software](), [3D]() Tags: [3d](), [diy](), [engineering](), [hardware](), [reverse-engineering](), [software](), [sponsored]() ### AI overview This sponsored article describes using MetroY Ultra and Revo Metro to scan a modified motorcycle rear fender and combine the cleaned scan with a full motorcycle scan in CAD software. The workflow preserves real mounting geometry while removing scan artifacts, creating a digital reference for designing a custom seat tray and seat pan. ### Source excerpt When the Part Exists, but the Data Doesn't Reverse engineering often starts with a physical part but no reliable digital data. In restoration and customization, manual measurement can provide basic dimensions, but it becomes limiting when complex curves, mounting points, and tight clearances need to be captured accurately. MetroY Ultra captures the actual three-dimensional geometry of a part, providing a reliable digital reference for reverse engineering, custom design, and manufacturing. Designing a Custom Motorcycle Seat Tray from Accurate Scan Data In a custom 1984 Honda CB400 build, the builder needed to create a seat tray and seat pan for a custom seat while integrating the rear fender into the modified rear subframe. The challenge was not simply designing a new part, but making that part accurately fit a motorcycle whose geometry had already been modified. Traditionally, this kind of work is often done with welded sheet metal or fiberglass layup. [...] The post Reverse Engineering Without CAD Data: How MetroY Ultra Turns Physical Parts into Digital Designs (Sponsored) appeared first on CNX Software - Embedded Systems News. ## How to Integrate an API Into a Website: A Step-by-Step Guide for Businesses (Sponsored) DevFeed: [How to Integrate an API Into a Website: A Step-by-Step Guide for Businesses (Sponsored)]() Original publisher: [Read original article]() Author: Sponsored Post Published: 2026-09-04T02:57:14Z Content type: tutorial Language: en Sources: [CNX Software - Embedded Systems News]() Topics: [API](), [Website](), [Development](), [Authentication](), [Security](), [Scalability]() Tags: [api](), [api-integration](), [authentication](), [guide](), [how-to](), [integration](), [security](), [software-management](), [sponsored](), [testing]() ### AI overview A sponsored guide explains how businesses can integrate third-party APIs into websites. It covers defining requirements, evaluating API documentation and support, configuring authentication, and testing data accuracy, error handling, performance, security, browser compatibility, and mobile functionality. ### Source excerpt Modern websites rarely work in isolation. They rely on third-party services to exchange data. API integration into website projects can improve user experience. From payment gateways to CRM platforms, almost every feature can be integrated. Build your successful API integration solutions today. What Is API Integration and Why Does Your Website Need It? An API allows two software applications to communicate with each other. They can exchange information securely to facilitate the production process. It is convenient because you don't have to develop every feature. You can simply connect your websites with specialized services. Common API integrations include: Payment gateways Social media integrations Customer relationship management (CRM) systems Supplier portals Email marketing platforms Weather services Maps and location tools For many businesses, API integrations are a way to: Save development time Utilize advanced applications at more affordable rates Provide a richer customer experience What Should Businesses Consider Before Integrating an [...] The post How to Integrate an API Into a Website: A Step-by-Step Guide for Businesses (Sponsored) appeared first on CNX Software - Embedded Systems News. ## Why fleet management matters for Kubernetes at the edge DevFeed: [Why fleet management matters for Kubernetes at the edge]() Original publisher: [Read original article]() Author: Arvind Bhoj Published: 2026-08-20T13:00:00Z Content type: opinion Language: en Sources: [Kubernetes Overview, News and Trends | The New Stack]() Topics: [Kubernetes](), [Cloud Native Ecosystem](), [Orchestration]() Tags: [automation](), [cloud-native](), [clusters](), [edge-computing](), [kubernetes](), [management](), [nutanix](), [operations](), [post](), [security](), [sponsor-nutanix](), [sponsored](), [sponsored-post]() ### AI overview The article argues that edge computing has become a mainstream strategic concern and that Kubernetes provides a suitable platform for edge workloads, including generative AI. It identifies dispersed, customized clusters and piecemeal configuration as operational bottlenecks that fleet management can address. ### Source excerpt Not too long ago, edge computing was seen as a niche use case, limited to telcos, manufacturing plants, and large The post Kubernetes at the edge has hit a wall. Fleet management is the way through. appeared first on The New Stack. ## Amazon EKS is replacing the deprecated aws-auth ConfigMap for IAM-to-cluster permission mapping DevFeed: [Amazon EKS is replacing the deprecated aws-auth ConfigMap for IAM-to-cluster permission mapping]() Original publisher: [Read original article]() Author: Yannick Struyf Published: 2026-08-19T18:59:54Z Content type: article Language: en Sources: [Kubernetes Overview, News and Trends | The New Stack]() Topics: [Amazon EKS](), [Kubernetes](), [AWS IAM](), [Access Control](), [Amazon Web Services](), [Cloud](), [migration]() Tags: [access-control](), [amazon-eks](), [aws](), [cloud](), [cloud-native](), [deprecated](), [iam](), [kubernetes](), [migration](), [nutanix](), [platform-engineering](), [post](), [report](), [security](), [sponsor-nutanix](), [sponsored](), [sponsored-post]() ### AI overview The article examines security challenges in Kubernetes and cloud-native infrastructure, focusing on Amazon EKS's replacement of the deprecated aws-auth ConfigMap with an API-driven method for mapping IAM identities to cluster permissions. It also explains how Kubernetes security spans code, containers, clusters, and cloud infrastructure. ### Source excerpt The migration to Kubernetes and cloud native infrastructure has been one of the defining IT trends of the past decade. The post AWS deprecated this EKS auth method. 81% of clusters still run it. appeared first on The New Stack. ## "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. ## What's left for infrastructure-as-code after AI moves in? DevFeed: [What's left for infrastructure-as-code after AI moves in?]() Original publisher: [Read original article]() Author: Ryan Donovan Published: 2026-07-08T04:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Infrastructure as code](), [Artificial Intelligence](), [Code]() Tags: [agent](), [ai](), [code](), [developer](), [ibm](), [infrastructure](), [infrastructure-as-code](), [podcast](), [se-stackoverflow](), [se-tech](), [sponsored]() ### AI overview An IBM-sponsored podcast discussion examines how infrastructure as code changes when AI can write and deploy it, including the need for guardrails, the implications of broader deployment access, and the continuing importance of systems knowledge. ### Source excerpt Ryan is joined by Rosemary Wang, Developer Advocate at IBM, to explore what infrastructure-as-code looks like once AI starts writing and deploying it. ## How Software Development Is Changing from Programming to Air Traffic Control DevFeed: [How Software Development Is Changing from Programming to Air Traffic Control]() Original publisher: [Read original article]() Author: Kent Beck Published: 2026-07-01T14:25:26Z Content type: opinion Language: en Sources: [Software Design: Tidy First?]() Topics: [systems](), [Software](), [proof of work](), [Programming]() Tags: [audio](), [compute](), [programming](), [proof-of-work](), [software](), [sponsored](), [systems]() ### AI overview Keith Adams and Kent discuss how a changing software-building playbook could affect the economics of technology and the work of programming, including compute, Jevons paradox, and software as "proof of work." ### Source excerpt Keith Adams has spent his career at the systems layer, with nine years at VMware, the founding of Facebook's HHVM team, and a run as chief architect at Slack. ## From Grit to Growth: The Artisan of the Day Is Daniel Gouvignon. DevFeed: [From Grit to Growth: The Artisan of the Day Is Daniel Gouvignon.]() Original publisher: [Read original article]() Author: Ana Tavares Published: 2025-08-28T14:02:23Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [coding-community]() Tags: [best-practices](), [community](), [developer](), [e-commerce](), [enterprise](), [events](), [laravel](), [open-source](), [software-architecture](), [sponsored]() ### AI overview Daniel Gouvignon's Hatchet used Laravel to grow from volunteer projects into a Perth software studio, while supporting the local Laravel community through sponsorships, meetups, events, writing, and speaking. ### Source excerpt Daniel Gouvignon built Hatchet from the ground up with Laravel, sponsored Laracon AU, and supports Perth's developer community. ## Easy way to upload, transform and deliver files and images (Sponsored) DevFeed: [Easy way to upload, transform and deliver files and images (Sponsored)]() Original publisher: [Read original article]() Author: David Walsh Published: 2025-03-24T22:58:30Z Content type: article Language: en Sources: [David Walsh]() Topics: [file](), [Image](), [Developer experience](), [Back end](), [Python]() Tags: [ascii](), [back-end](), [conversion](), [documentation](), [files](), [gif](), [images](), [python](), [qr-code](), [sponsored](), [uncategorized]() ### AI overview This sponsored developer article presents Filestack as a service for uploading, transforming, and delivering files and images. It describes a file-uploading interface, integrations with services such as Google Drive, Dropbox, GitHub, Facebook, and Instagram, a Python library for back-end uploads, documentation, and transformations for images, videos, and documents. ### Source excerpt Managing media is a really difficult task if you try to do all of it yourself, especially if the media comes from other sources. The file can be submitted in any state and size, but what if you need something really specific? You can code it all yourself or you can use an awesome service [...] The post Easy way to upload, transform and deliver files and images (Sponsored) appeared first on David Walsh Blog. ## Join the Neon Creator Program DevFeed: [Join the Neon Creator Program]() Original publisher: [Read original article]() Author: Taraneh Dohmer Published: 2025-03-06T16:43:41Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Open Source](), [GitHub](), [Pull Request](), [Discord](), [GitHub Copilot]() Tags: [apis](), [applications](), [best-practices](), [bugs](), [community](), [contribute](), [developer](), [developers](), [development](), [discord](), [docs](), [documentation](), [examples](), [features](), [free](), [github](), [guide](), [guides](), [how-to](), [sponsored]() ### AI overview The article explains how developers can participate in the Neon Creator Program and contribute to the Neon community. It describes documentation, community guides about Neon or Postgres, examples and applications, and code contributions through GitHub and pull requests. It also mentions community channels including Discord, X, and YouTube. ### Source excerpt What is the Neon Developer Creator Program?The Neon Creator Program is just one small way to help support developers who are making incredible content. Members will receive a host of benefits including a free Neon Scale account, early access to new features, and sponsored speakin... ## Building a Dedicated Linux Workstation DevFeed: [Building a Dedicated Linux Workstation]() Original publisher: [Read original article]() Author: Techno Tim Published: 2024-12-23T13:00:00Z Content type: article Language: en Sources: [Techno Tim]() Topics: [Linux](), [Hardware](), [pc]() Tags: [building](), [homelab](), [linux](), [sponsored](), [video](), [workstation]() ### AI overview The article presents a dedicated Linux workstation build and raises questions about its selected parts, performance, and Linux distribution. The build video was sponsored by Micro Center. ### Source excerpt I finally built my dedicated Linux workstation. What parts did I choose? How does it perform? And most importantly, which distribution did I go with?? A huge THANK YOU to Micro Center who sponsored this video and this Linux workstation build! 📺 Watch Video Info Shop Micro Center's Holiday Savings Event: https://micro.center/xxvb Sign-Up for Early Access to Micro Center Santa Clara: ht... [Next page]()