# DevFeed tutorial Published developer news, articles, tutorials, releases, comparisons and opinions. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Write End-to-End Tests in Your Backend's Language DevFeed: [Write End-to-End Tests in Your Backend's Language]() Original publisher: [Read original article]() Author: James McConkey Published: 2026-09-17T12:00:42Z Content type: tutorial Language: en Sources: [Atomic Object]() Topics: [Testing](), [Playwright](), [FastAPI](), [Python](), [test data](), [Pydantic](), [SQLAlchemy](), [ASP.NET Core](), [PostgreSQL](), [Docker Compose]() Tags: [asp-net-core](), [code](), [data](), [docker-compose](), [fastapi](), [playwright](), [postgresql](), [project-team-management](), [python](), [sqlalchemy](), [tests](), [the-software-life]() ### AI overview This article argues that end-to-end test-data setup is often the main design challenge, because tests must create consistent domain records while running alongside other tests. It recommends using browser-testing tools in the backend's language when possible, keeping meaningful relationships inline, and extracting small creation helpers without hiding scenario intent. ### Source excerpt The browser is often the easiest part of an end-to-end test. Consider a test that verifies a user can complete an overdue task. The visible interaction is small: sign in, find the task, click Complete, and observe the new status. Before any of that can happen, the test needs a workspace, a user, a project, and [...] The post Write End-to-End Tests in Your Backend's Language appeared first on Atomic Spin. ## Quiz: HTML and CSS Foundations for Python Developers DevFeed: [Quiz: HTML and CSS Foundations for Python Developers]() Original publisher: [Read original article]() Author: Real Python Published: 2026-09-17T12:00:00Z Content type: tutorial Language: en Sources: [Real Python]() Topics: [CSS](), [HTML](), [Web Development]() Tags: [css](), [developers](), [html](), [python]() ### AI overview An interactive 12-question quiz tests Python developers' understanding of HTML and CSS foundations, including document structure, semantic elements, links, images, and CSS styling. ### Source excerpt Test your understanding of HTML and CSS basics for Python developers. Structure a page, link files, and style your site with CSS. ## PPO vs GRPO, Simply Explained DevFeed: [PPO vs GRPO, Simply Explained]() Original publisher: [Read original article]() Author: Dr. Ashish Bamania Published: 2026-09-17T11:47:38Z Content type: tutorial Language: en Sources: [Into AI]() Topics: [Large Language Model](), [post-training](), [Reinforcement learning](), [Algorithms]() Tags: [algorithm](), [alignment](), [human-feedback](), [llm](), [llm-training](), [post-training](), [reinforcement-learning](), [training]() ### AI overview A tutorial comparing PPO and GRPO as reinforcement learning algorithms used in LLM post-training. It explains PPO, including RLHF, policy-gradient updates, and clipped token-probability changes intended to keep model behavior close to its previous version. ### Source excerpt A simple lesson on two important LLM post-training algorithms. ## Group Replication Beyond a Single Cluster: DC-DR with Percona (PS MySQL) Operator DevFeed: [Group Replication Beyond a Single Cluster: DC-DR with Percona (PS MySQL) Operator]() Original publisher: [Read original article]() Author: Anil Joshi Published: 2026-09-17T06:43:32Z Content type: tutorial Language: en Sources: [Blog - Percona]() Topics: [Replication](), [export](), [Percona Server for MySQL](), [configuration](), [Server](), [Kubernetes](), [Database]() Tags: [cloud](), [configuration](), [database-trends](), [featured](), [innodb-clusterset](), [insight-for-dbas](), [kubernetes](), [kubernetes-operators](), [mysql](), [mysql-group-replication](), [mysql-high-availability](), [mysql-replication](), [open-source](), [operator](), [percona-kubernetes-operators](), [percona-operator-for-mysql](), [percona-server-for-mysql](), [percona-software](), [replication](), [uncategorized](), [yaml]() ### AI overview This tutorial explains how to configure cross-site replication between two Percona Operator for MySQL clusters to create a ClusterSet environment for disaster recovery and switchover between data-center and disaster-recovery members. It covers deploying the clusters, retrieving endpoints and cluster names, transferring credentials, and initializing the DR cluster. ### Source excerpt A while ago, we discussed the cross-site replication feature of the Percona PXC operator. Recently, a similar cross-site replication feature was introduced in the Percona (PS MySQL) operator v1.2.0, a topology based on Group Replication/InnoDB Cluster. In this blog post, we will explore how to add a DR Cluster to an existing DC Cluster to ... Continued The post Group Replication Beyond a Single Cluster: DC-DR with Percona (PS MySQL) Operator appeared first on Percona. ## Kubernetes Architecture: Control Plane, Scheduler, and Kubelet DevFeed: [Kubernetes Architecture: Control Plane, Scheduler, and Kubelet]() Original publisher: [Read original article]() Author: Nimesha Jinarajadasa Published: 2026-09-17T06:25:02Z Content type: tutorial Language: en Sources: [Kubernetes - KodeKloud Blog | DevOps, Cloud, Kubernetes, AI Tutorials & More]() Topics: [Kubernetes](), [control-plane](), [api server](), [Containers](), [etcd](), [kubectl]() Tags: [api](), [api-server](), [containers](), [control-plane](), [controllers](), [etcd](), [kubectl](), [kubernetes](), [kubernetes-architecture](), [kubernetes-networking](), [node](), [scheduler]() ### AI overview A beginner-friendly tutorial explaining how Kubernetes maintains the desired state of containerized applications. It covers the control plane, API server, etcd, controllers, scheduler, and kubelet. ### Source excerpt Learn how Kubernetes works, from the control plane and scheduler to kubelet, pods, and Services, with simple answers to interview questions. ## Obfuscation Fundamentals: Applying ProGuard and R8 Protections to Android Code DevFeed: [Obfuscation Fundamentals: Applying ProGuard and R8 Protections to Android Code]() Original publisher: [Read original article]() Author: dustin@dustn.dev (Dustin Summers) Published: 2026-09-17T04:13:15.404035Z Content type: tutorial Language: en Sources: [Dustin Summers]() Topics: [obfuscation](), [Android](), [R8](), [Code]() Tags: [android](), [meetup](), [obfuscation](), [proguard](), [r8](), [video]() ### AI overview A presentation introducing obfuscation with ProGuard and R8, focused on applying protections to Android code. It explains how to diagnose the code entering and leaving these build tools. ### Source excerpt This presentation was given at a MeetUp in DC. It corresponds to this series of blog posts, which is the first in a series to teach about Obfuscation/ProGuard/R8, and will primarily be centered around applying protections to Android Code. Tools such as R8 and ProGuard are available, but to many they are a black box that code goes into and stuff comes out. The following will demystify the black box, and teach developers how to properly diagnose the code going into and coming out of these build tools. ## PDFx - Extract references and metadata from PDF documents, and download all referenced PDFs DevFeed: [PDFx - Extract references and metadata from PDF documents, and download all referenced PDFs]() Original publisher: [Read original article]() Author: Chris Hager Published: 2026-09-17T02:48:44.791916Z Content type: tutorial Language: en Sources: [Chris Hager]() Topics: [pdf](), [Python](), [Command-line interface](), [JSON](), [pip](), [Open Source](), [GitHub]() Tags: [apache](), [broken-links](), [command-line](), [download](), [github](), [install](), [json](), [library](), [open-source](), [pdf](), [python]() ### AI overview PDFx is an Apache-licensed open-source tool that extracts references and metadata from PDF documents. It detects PDF, URL, arXiv, and DOI references, can download referenced PDFs in parallel, identify broken hyperlinks, extract PDF text, and output results as text or JSON. It is available as a command-line tool and Python package, with support for local and online PDFs. ### Source excerpt Reading over this paper and its references recently, I thought it would be great to be able to download all the references at once... This inspired me to write a little tool to do just that, and now it's done and released under the Apache open source license: https://github.com/metachris/pdfx Features Extract references and metadata from a given PDF Detects pdf, url, arxiv and doi references Fast, parallel download of all referenced PDFs Find broken hyperlinks (using the -c flag) (more) Output as text or JSON (using the -j flag) Extract the PDF text (using the --text flag) Use as command-line tool or Python package Compatible with Python 2 and 3 Works with local and online pdfs Getting Started Grab a copy of pdfx with easy_install or pip and run it: ## How to Identify Which Raspberry Pi Model You Have DevFeed: [How to Identify Which Raspberry Pi Model You Have]() Original publisher: [Read original article]() Author: Patrick Fromaget Published: 2026-09-17T02:25:39Z Content type: tutorial Language: en Sources: [RaspberryTips]() Topics: [Raspberry Pi](), [Operating system](), [cpu](), [Wi-Fi]() Tags: [beginner-s-guides](), [cpu](), [how-to](), [install](), [raspberry-pi](), [specifications](), [system](), [wi-fi]() ### AI overview A practical guide to identifying which Raspberry Pi model you own. It covers physical markings, purchase records, system commands, model comparisons, and a flowchart, with examples including Raspberry Pi 1, Raspberry Pi 2, and Raspberry Pi Zero. ### Source excerpt You bought a Raspberry Pi a few months or years ago and have no idea what model you have. This is a problem because you'll need this information to order accessories or install a new operating system. No worries, I'll give you tips on how to find which one you have easily. Most Raspberry Pi... ## Too many GCache Page Files in MySQL Data Directory DevFeed: [Too many GCache Page Files in MySQL Data Directory]() Original publisher: [Read original article]() Author: Kedar Vaijanapurkar Published: 2026-09-17T05:29:14Z Content type: tutorial Language: en Sources: [Blog - Percona]() Topics: [XtraDB Cluster (PXC)](), [Replication](), [Transactions](), [MySQL]() Tags: [cluster](), [database-administration](), [disk-space](), [galera](), [galera-replication](), [gcache](), [gcache-freeze-purge-at-seqno](), [gcache-keep-pages-count](), [gcache-page](), [gcache-page-files](), [gcache-purge](), [gcache-troubleshooting](), [mysql](), [mysql-disk-space](), [mysql-troubleshooting](), [percona-xtradb-cluster](), [pxc](), [replication](), [xtradb-cluster-pxc]() ### AI overview An investigation into thousands of GCache page files accumulating in a Percona XtraDB Cluster data directory. The article explains how frozen GCache purging caused disk growth, links the behavior to a cluster partition, and describes reproducing it by setting gcache.freeze_purge_at_seqno and generating workload. ### Source excerpt Learn why PXC accumulates thousands of gcache.page.* files, how frozen GCache purging causes disk growth, and how to safely recover and rejoin using IST. The post Too many GCache Page Files in MySQL Data Directory appeared first on Percona. ## Do You Need a USB Wi-Fi Adapter for Raspberry Pi? DevFeed: [Do You Need a USB Wi-Fi Adapter for Raspberry Pi?]() Original publisher: [Read original article]() Author: Karen Rangi Published: 2026-09-17T02:03:01Z Content type: tutorial Language: en Sources: [RaspberryTips]() Topics: [Raspberry Pi](), [Wi-Fi](), [USB](), [Dongle]() Tags: [beginner-s-guides](), [dongle](), [pi-4](), [raspberry-pi](), [raspberry-pi-5](), [usb](), [wi-fi]() ### AI overview This guide explains when a Raspberry Pi needs a separate USB Wi-Fi adapter. Most models have built-in wireless, while boards without Wi-Fi require a dongle; adding one may also improve wireless performance. ### Source excerpt A common question when you first get a Raspberry Pi is whether you have to purchase a separate USB adapter for Wi-Fi. If so, should you get one? I'll help you figure out whether you need one and what to look for if you do. Most Raspberry Pi models have built-in wireless and don't need... ## KYC Onboarding: From Signup to Accepting Payments DevFeed: [KYC Onboarding: From Signup to Accepting Payments]() Original publisher: [Read original article]() Author: Deepak Jangir Published: 2026-09-17T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [Requirements](), [Security, Privacy and Abuse Prevention](), [account](), [Website]() Tags: [account](), [business](), [credentials](), [guide](), [onboarding](), [payments](), [saas](), [verification](), [website]() ### AI overview This guide explains KYC onboarding for online sellers, including the identity, eligibility, ownership, bank account, and website checks payment providers may perform before enabling payments and payouts. It outlines the onboarding sequence, common causes of delays, and differences between freelancers and companies. ### Source excerpt What KYC onboarding involves when you sign up to sell online: the stages, the documents, why applications stall, and how it differs for freelancers and companies. ## How to Use AI Agents to Prepare 3D Scenes for Simulation DevFeed: [How to Use AI Agents to Prepare 3D Scenes for Simulation]() Original publisher: [Read original article]() Author: Tanya Lenz Published: 2026-09-16T23:20:33Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Artificial Intelligence](), [Simulation](), [Physical AI](), [Simulation and Design](), [blender](), [Isaac Sim](), [Omniverse](), [Robotics Simulation](), [Robotics]() Tags: [3d](), [agentic](), [agentic-ai-generative-ai](), [agents](), [ai](), [blender](), [gpt-6-astra](), [how-to](), [isaac-sim](), [nemoclaw](), [nvidia](), [omniverse](), [openai](), [openusd](), [physical-ai](), [robotics](), [robotics-simulation](), [simulation](), [simulation-modeling-design]() ### AI overview This tutorial describes an agentic workflow for preparing Blender 3D scenes for robotics simulation. It covers scene inspection, OpenUSD metadata, physics properties, rendering preflight views, and validation for simulation-ready handoff to NVIDIA Isaac Sim or Isaac Lab. ### Source excerpt Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data in... ## Build Your Own AI Agent Harness in C#, the MafClaw Live Series DevFeed: [Build Your Own AI Agent Harness in C#, the MafClaw Live Series]() Original publisher: [Read original article]() Author: Bruno Capuano Published: 2026-09-16T21:00:00Z Content type: tutorial Language: en Sources: [.NET Blog]() Topics: [Agent Harness](), [Microsoft Agent Framework](), [AI Agent](), [C#](), [.NET]() Tags: [agent](), [agent-framework](), [agent-harness](), [ai](), [building](), [c-sharp](), [cloud](), [csharp](), [microsoft-agent-framework](), [microsoft-reactor](), [net](), [observability]() ### AI overview This article introduces a four-part live series that builds a complete C# AI agent using the Microsoft Agent Framework harness. It describes adding tools, planning, file access, approvals, memory, skills, shell commands, code execution, background agents, observability, governance, evaluations, and hosted deployment. ### Source excerpt I am building a complete C# agent live, from a single call around an IChatClient to a production-ready, observable, governed agent, using the Microsoft Agent Framework harness in a 4-part Microsoft Reactor series. The post Build Your Own AI Agent Harness in C#, the MafClaw Live Series appeared first on .NET Blog. ## How to Fine-Tune LLMs in 2026 DevFeed: [How to Fine-Tune LLMs in 2026]() Original publisher: [Read original article]() Author: Avi Chawla Published: 2026-09-16T20:40:26Z Content type: tutorial Language: en Sources: [Daily Dose of Data Science]() Topics: [Fine-tuning](), [Large Language Model](), [grpo](), [Artificial Intelligence]() Tags: [agents](), [ai](), [fine-tuning](), [llms](), [rl]() ### AI overview A developer newsletter explains how supervised fine-tuning differs from reinforcement fine-tuning for LLMs and describes GRPO and RULER as approaches for training agents through experience without manually written reward functions or labeled examples. It also briefly discusses Rowboat Spaces, an open-source shared workspace for personal AI assistants. ### Source excerpt Reward-free RL is here! ## Forge-X on the Adventurer 5M: how to ditch FlashMaker and run Klipper anyway DevFeed: [Forge-X on the Adventurer 5M: how to ditch FlashMaker and run Klipper anyway]() Original publisher: [Read original article]() Author: Shed Stack Published: 2026-09-16T19:00:00Z Content type: tutorial Language: en Sources: [Shed Stack]() Topics: [Embedded Software Dev](), [foss](), [Software](), [USB](), [GitHub](), [Network](), [screen]() Tags: [firmware](), [flashing](), [foss](), [github](), [how-to](), [network](), [screen](), [usb]() ### AI overview A tutorial for installing Forge-X, an open firmware mod that runs Klipper on the Flashforge Adventurer 5M and 5M Pro. It covers the risks, required firmware and USB drive, flashing process, networking, updates, recalibration, and OrcaSlicer setup. ### Source excerpt Forge-X is an open firmware mod that runs real Klipper on the Flashforge Adventurer 5M and 5M Pro to free you from FlashMaker. The whole install, the recalibration, and the OrcaSlicer setup. ## Fault tolerant distributed training on Amazon EKS using NVRx DevFeed: [Fault tolerant distributed training on Amazon EKS using NVRx]() Original publisher: [Read original article]() Author: Aravind Neelakantan Published: 2026-09-16T18:59:25Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [NCCL](), [Amazon Elastic Kubernetes Service](), [PyTorch](), [distributed-training](), [Resilience](), [GPU]() Tags: [advanced-300](), [amazon-eks](), [amazon-elastic-kubernetes-service](), [async](), [benchmarks](), [distributed-training](), [gpu](), [pytorch](), [resiliency](), [technical-how-to]() ### AI overview This tutorial integrates NVIDIA Resiliency Extension (NVRx) with PyTorch FSDP training on Amazon EKS. It covers asynchronous checkpointing, in-process restart, and in-job restart, and reports H100 benchmarks at 2- to 8-node scale with 99%+ training efficiency and recovery measured in seconds. ### Source excerpt Integrate NVIDIA Resiliency Extension (NVRx) into PyTorch FSDP training on Amazon EKS to overlap checkpoint I/O with training and recover from GPU faults in seconds. This post covers async checkpointing, in-process restart, and ft_launcher in-job restart, with H100 benchmarks at 2 to 8 nodes showing 99%+ training efficiency and second-scale recovery. ## Publishing a Kubernetes SIG's Images to registry.k8s.io DevFeed: [Publishing a Kubernetes SIG's Images to registry.k8s.io]() Original publisher: [Read original article]() Author: The Kubernetes Authors Published: 2026-09-16T18:00:00Z Content type: tutorial Language: en Sources: [Kubernetes Contributors Blog]() Topics: [Kubernetes](), [container images](), [GitHub Actions](), [CI/CD](), [Google Cloud Platform (GCP)]() Tags: [ci-cd](), [container-image](), [container-image-registry](), [container-images](), [documentation](), [github-actions](), [google-cloud](), [guide](), [kubernetes]() ### AI overview A guide to publishing official Kubernetes SIG container images through registry.k8s.io. It explains why GHCR is unsuitable for public distribution and describes the ordered workflow involving Prow, Google Cloud Build, staging registries, and image promotion. ### Source excerpt If you're publishing container images for a Kubernetes SIG project, you might expect the same publishing workflow used by other container registries to work. That was my assumption too. My workflow successfully published the images, but they weren't publicly available. Instead, official Kubernetes project images are distributed through registry.k8s.io , the Kubernetes project's official container image registry. No single step was hard, but the steps were spread across multiple repositories and had to happen in a particular order, something I mostly learned by tripping over them. This post is the guide I wish I had at the start. It walks through that workflow end to end using Cluster Inventory API from SIG Multicluster as an example. The same process applies to eligible Kubernetes subprojects that publish official container images. My first attempt: GHCR I first tried a common GitHub release pattern: using GitHub Actions to publish images to ghcr.io on a tag push (cluster-inventory-api#40 ). The workflow succeeded, but Kubernetes GitHub organizations keep GHCR packages private, so GHCR cannot be used for public distribution. As described in the registry.k8s.io documentation , official images take a different route: Prow (the Kubernetes project's CI/CD system) picks up a tag push and runs Google Cloud Build on Kubernetes-owned infrastructure to push the image to a staging registry, and the image promoter then copies it to registry.k8s.io. The first-time setup, step by step Besides the image-owning repository, this touches three infrastructure repositories: kubernetes/k8s.io , kubernetes/test-infra , and kubernetes/org . The pieces depend on each other like this: Before you start: decide your project details Before setting up the publishing workflow, decide a few project-specific details. These values will be reused throughout the setup when creating the staging registry, configuring image builds, and setting up image promotion: , which determines the staging ## "Regex for Rows": Simplifying Pattern Detection in SQL with MATCH\_RECOGNIZE DevFeed: ["Regex for Rows": Simplifying Pattern Detection in SQL with MATCH\_RECOGNIZE]() Original publisher: [Read original article]() Author: Kent Marten; Sergei Fedorov Published: 2026-09-16T17:14:05Z Content type: tutorial Language: en Sources: [Databricks]() Topics: [SQL](), [databricks](), [Cybersecurity](), [Security & Privacy]() Tags: [count](), [cybersecurity](), [databricks](), [failed](), [false-positives](), [functions](), [login](), [partition](), [product](), [real-time](), [regex](), [sql](), [window-functions]() ### AI overview This tutorial explains how Databricks supports SQL MATCH_RECOGNIZE for detecting ordered event patterns. It shows how the clause can simplify sequence detection, including identifying repeated login failures followed by a successful login, compared with complex SQL queries and window functions. ### Source excerpt Imagine you work in cybersecurity and you have a table that tracks login attempts... ## Translating CUDA Tile Operations from Python to Rust Using Agentic AI DevFeed: [Translating CUDA Tile Operations from Python to Rust Using Agentic AI]() Original publisher: [Read original article]() Author: Tanya Lenz Published: 2026-09-16T16:28:59Z Content type: tutorial Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [CUDA Tile](), [Rust](), [Agent Skill](), [Artificial Intelligence](), [AI Agent](), [GPU](), [benchmarking](), [Compiler]() Tags: [agent-skill](), [agentic-ai](), [agentic-ai-generative-ai](), [ai-agent](), [benchmarking](), [cuda](), [cuda-tile](), [cutile](), [developer-tools-techniques](), [gpu](), [mixture-of-experts-moe](), [python](), [rust]() ### AI overview This NVIDIA developer article explains a multi-agent workflow for translating cuTile Python and Triton-TileIR GPU kernels into cuTile Rust. The team ported 24 public TileGym operators, covering about 40 kernels, and achieved 99.5% of cuTile Python performance on average, with correctness and performance checks at each stage. ### Source excerpt cuTile Rust (cutile-rs) is a tile-based system for safe, idiomatic GPU kernel authoring in the Rust programming language. Extending the Rust ownership model to... ## Scheduling gRPC and GraphQL Requests with Postman Monitors (Beta) DevFeed: [Scheduling gRPC and GraphQL Requests with Postman Monitors (Beta)]() Original publisher: [Read original article]() Author: Harsh Vardhan Published: 2026-09-16T16:00:00Z Content type: tutorial Language: en Sources: [Postman Blog]() Topics: [gRPC](), [Postman](), [Monitoring](), [Authentication]() Tags: [beta](), [general](), [graphql](), [graphql-monitoring](), [how-to](), [monitor-grpc-streaming](), [monitoring](), [monitors](), [postman](), [postman-monitors-grpc-graphql](), [scheduling](), [test]() ### AI overview This tutorial explains how to schedule gRPC and GraphQL requests with Postman Monitors in beta. It covers supported request types, streaming caveats, response testing, authentication, and current feature limitations. ### Source excerpt Postman Monitors now run gRPC and GraphQL requests in beta. Learn how to schedule them, test responses, and send feedback. Start monitoring today. The post Scheduling gRPC and GraphQL Requests with Postman Monitors (Beta) appeared first on Postman Blog. ## How LLMs Can Find a Needle in a Haystack DevFeed: [How LLMs Can Find a Needle in a Haystack]() Original publisher: [Read original article]() Author: ByteByteGo Published: 2026-09-16T15:31:42Z Content type: tutorial Language: en Sources: [ByteByteGo]() Topics: [Large Language Model](), [Language models](), [App]() Tags: [article](), [llm](), [llm-applications](), [llms]() ### AI overview This tutorial explains the retrieval problem in LLM applications: finding current, relevant evidence in large collections of private documents. It discusses embeddings, semantic matching, search scope, and changing answers. ### Source excerpt In this article, we are going to look at how LLMs can find a needle in a haystack. ## Learn How to Deploy, Secure, and Automate Full-Stack Web Apps DevFeed: [Learn How to Deploy, Secure, and Automate Full-Stack Web Apps]() Original publisher: [Read original article]() Author: Beau Carnes Published: 2026-09-16T15:28:18Z Content type: tutorial Language: en Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More]() Topics: [web applications](), [Deployment](), [CI/CD](), [FastAPI](), [GitHub Actions](), [Vue.js](), [nginx](), [firewalls](), [Python](), [Cloudflare](), [SSL](), [Ubuntu]() Tags: [analysis](), [authentication](), [ci-cd](), [deploy](), [fastapi](), [full-stack](), [github-actions](), [how-to](), [web](), [web-apps](), [youtube]() ### AI overview This article introduces an 11-hour freeCodeCamp course on deploying, securing, and automating a Vue.js and FastAPI web application. It covers Ubuntu server setup, SSH hardening, firewalls, application runtimes, Meilisearch, DNS, SSL, Nginx, Cloudflare, GitHub Actions, security testing, and observability. ### Source excerpt Taking a web application from local development to a live, secure production environment can be daunting if you've never looked under the hood. We just published a comprehensive course on the freeCode ## Build a serverless PII redaction pipeline with Amazon Bedrock Data Automation DevFeed: [Build a serverless PII redaction pipeline with Amazon Bedrock Data Automation]() Original publisher: [Read original article]() Author: Samantha Stuart Published: 2026-09-16T15:17:37Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock](), [pii](), [Serverless](), [AWS Lambda](), [AWS Step Functions](), [Artificial Intelligence](), [Amazon Web Services](), [Ansible]() Tags: [advanced-300](), [amazon-bedrock](), [amazon-bedrock-data-automation](), [aws](), [aws-lambda](), [aws-step-functions](), [how-to](), [pii-redaction](), [pipeline](), [precision](), [serverless](), [technical-how-to]() ### AI overview This tutorial presents a serverless AWS pipeline for detecting and redacting personally identifiable information in scanned documents and images. It uses Amazon Bedrock Data Automation with a custom blueprint, AWS Step Functions, and AWS Lambda, with a token-matching quality check to improve recall on degraded and handwritten documents. ### Source excerpt Learn how to automate end-to-end PII detection and redaction from scanned documents at scale using Amazon Bedrock Data Automation with a custom blueprint, AWS Step Functions, and AWS Lambda. A custom blueprint redacts sensitive fields with field-level precision, and a token matching quality check raises recall across degraded and handwritten documents. ## How 8 AI Skills Automate a Content Workflow and Save 5+ Hours per Week DevFeed: [How 8 AI Skills Automate a Content Workflow and Save 5+ Hours per Week]() Original publisher: [Read original article]() Author: Peter Yang Published: 2026-09-16T14:36:57Z Content type: tutorial Language: en Sources: [Behind the Craft]() Topics: [Artificial Intelligence]() Tags: [ai](), [ai-skills](), [automate](), [skills](), [workflow]() ### AI overview The article describes a three-step system that turns 15 manual content-workflow steps into 8 AI skills, reportedly saving more than 5 hours per week. ### Source excerpt How I turned 15 manual steps into 8 AI skills that save me 5+ hours a week, and how you can do the same for your own work [Next page]()