# Build Published articles for Build. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Libreboot Build System Audit 4 DevFeed: [Libreboot Build System Audit 4]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: article Language: en Sources: [News about Libreboot releases and development]() Topics: [audit](), [Shell](), [Code](), [coding style](), [Open Source]() Tags: [article](), [audit](), [bios](), [build](), [build-system](), [canoeboot](), [coding-style](), [complexity](), [coreboot](), [free-software](), [libre](), [libreboot](), [opensource](), [patches](), [uefi]() ### AI overview This article reviews the fourth audit of the Libreboot build system, lbmk, covering code cleanup, generalization, new features, and bug fixes. It reports a reduction from 1,744 to 1,618 shell-script SLOC and a corresponding 7.22% decrease in complexity, while functionality increased. ### Source excerpt Article: Libreboot Build System Audit 4 Web link: https://libreboot.org/news/audit4.html ## Libreboot Build System Audit 2 DevFeed: [Libreboot Build System Audit 2]() Original publisher: [Read original article]() Author: Leah Rowe Published: 2026-09-17T04:32:50.666044Z Content type: article Language: en Sources: [News about Libreboot releases and development]() Topics: [audit](), [Development](), [Shell](), [Code](), [Documentation]() Tags: [audit](), [bios](), [bugs](), [build](), [canoeboot](), [code](), [coreboot](), [development](), [documentation](), [error-handling](), [free-software](), [general](), [libre](), [libreboot](), [opensource](), [shell](), [uefi]() ### AI overview This article reports on a completed audit of Libreboot's build system, lbmk, as of 11 September 2023. It describes bug fixes, improved documentation and error handling, fewer scripts, unified logic, and a reduction in shell source lines from 3,388 to 2,644, or 22%. ### Source excerpt Article: Libreboot Build System Audit 2 Web link: https://libreboot.org/news/audit2.html ## Swift 6.4 unifies building across Linux, macOS, Windows DevFeed: [Swift 6.4 unifies building across Linux, macOS, Windows]() Original publisher: [Read original article]() Author: Joab Jackson Published: 2026-09-17T04:27:00Z Content type: article Language: en Sources: [www.theregister.com - Articles]() Topics: [Swift](), [swift-package-manager](), [Development](), [Linux](), [macOS](), [Windows]() Tags: [build](), [cross-platform-development](), [devops](), [linux](), [macos](), [open-source](), [programming-languages](), [swift](), [swift-6-4](), [swift-package-manager](), [windows]() ### AI overview Swift 6.4 makes Swift Build the default engine for the Swift Package Manager, with building unified across Linux, macOS, and Windows. ### Source excerpt Swift Build is now the default engine for the Swift Package Manager ## Developer commentary on agentic hacking, AI persistence, and LLM programming DevFeed: [Developer commentary on agentic hacking, AI persistence, and LLM programming]() Original publisher: [Read original article]() Author: Martin Fowler (martin@martinfowler.com) Published: 2026-09-16T20:05:00Z Content type: opinion Language: en Sources: [Martin Fowler]() Topics: [Artificial Intelligence](), [Large Language Model](), [Hacking](), [Programming](), [Wiki](), [hugging face]() Tags: [agentic](), [agents](), [ai](), [build](), [engineering](), [hacking](), [llms](), [persistence]() ### AI overview This collection of developer commentary discusses reports of agentic hacking involving RubyGems, Hugging Face, and Wiki attacks, including questions about OpenAI's disclosure and log review. It also examines AI systems' unpredictable behavior, improvements in reasoning and persistence, and the use of harnesses to control LLM-based programming. ### Source excerpt Reports of agentic hacking continue, in this case it happened back in May and it seems OpenAI did not disclose that they were responsible. Simon Willison sees two options: After the Hugging Face and Wiki attacks OpenAI were still unable to review their previous logs and determine that they had previously attacked RubyGems. They knew about the attack on RubyGems and made the decision not to reach out to the RubyGems team about it. Both of these are bad! Given this incident, the Hugging Face situation, and the Wiki attack, the obvious question right now is how many more incidents like this are out there waiting to be discovered? ❄ ❄ ❄ ❄ ❄ Dave Farley: Stop asking the sci-fi question: 'Is it conscious?' Start asking the engineering question: 'Is this a powerful, unpredictable component being put somewhere consequential, and where's the feedback that tells us that it's safe? ❄ ❄ ❄ ❄ ❄ Nate Silver is known for his forecasts, but to do them he writes a lot of code for his models. He's found agentic programming capable of doing miraculous work. In spending so much time with the LLMs, I'm super attentive to improvements in their capabilities. And these changes tend not to be so linear. Instead, they improve in step functions, almost as phase changes. Suddenly, the models just start doing things capably that they were screwing up before. In my experience, there was a big leap forward when reasoning models first came out in late 2024/early 2025 -- enough that they were occasionally useful for tasks involving data and not just words -- and then another one this past winter. The most recent changes I've noticed, however, have had less to do with intelligence and more with persistence. Consider the Hugging Face attack. Although these agents showed remarkable intelligence, they weren't really super-intelligent - but they were super-persistent. This is a common theme of AI in its various forms: Game engines like AlphaGo Zero start out by basically making random moves -- but by playin ## Secure Compute and Static IP builds start 64% faster DevFeed: [Secure Compute and Static IP builds start 64% faster]() Original publisher: [Read original article]() Author: Karim Hasebou Published: 2026-09-16T17:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Deployment](), [Containers](), [Network Configuration]() Tags: [automatically](), [build](), [compute](), [containers](), [faster](), [ip](), [network-configuration](), [static]() ### AI overview Vercel reports that builds using Secure Compute or Static IPs now start 64% faster on average, improving from 6.7 seconds to 2.4 seconds. The change uses prewarmed build containers with network configuration attached at build start and requires no configuration changes. ### Source excerpt Builds using Secure Compute or Static IPs now start 64% faster, with the average time from deployment creation to build start dropping from 6.7 seconds to 2.4 seconds. Previously, each build waited for a new build container to boot with its network configuration. These builds now use prewarmed build containers, with your network configuration attached when the build starts. The improvement is applied automatically to builds using Secure Compute or Static IPs, with no configuration changes required. Learn more about Secure Compute and Static IPs. Read more ## Babel in Khan Academy's i18n Toolchain DevFeed: [Babel in Khan Academy's i18n Toolchain]() Original publisher: [Read original article]() Author: Khan Academy Published: 2015-06-22T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [Babel](), [Internationalization (i18n)](), [toolchain](), [es6](), [JavaScript](), [Parser](), [Universal Syntax Tree.](), [Open Source]() Tags: [api](), [architecture](), [babel](), [build](), [build-system](), [code](), [engineering](), [es6](), [eslint](), [frontend](), [javascript](), [news](), [plugin](), [source](), [structure](), [syntax](), [tests](), [toolchain](), [types](), [web-frontend](), [workflow]() ### AI overview Khan Academy describes switching its ES6 and JSX frontend compilation from jstransform to Babel. The article explains a custom Babel plugin for preserving the project's internationalization behavior and discusses matching generated output, line numbers, whitespace, and the existing build chain. ### Source excerpt By Kevin Barabash We've been using ES6 (along with JSX) for sometime at Khan Academy. Right now, we're ... Read more ## Building a Really, Really Small Android App DevFeed: [Building a Really, Really Small Android App]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-08-22T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Android](), [APK](), [Android Studio](), [App](), [Code]() Tags: [android](), [android-studio](), [apk](), [app](), [app-size](), [build](), [engineering](), [mobile](), [news]() ### AI overview This article describes building a minimally viable Khan Academy Android app focused on video playback. The resulting APK was 26 kilobytes to download, supported older Android versions, and offered limited offline navigation. ### Source excerpt By Charlie Marsh App size is important to us. As a team striving to deliver a free, world-class ... Read more ## Build a WhatsApp AI agent with Appwrite Functions and TablesDB DevFeed: [Build a WhatsApp AI agent with Appwrite Functions and TablesDB]() Original publisher: [Read original article]() Author: Atharva Deosthale Published: 2026-09-16T00:00:00Z Content type: tutorial Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [AI Agent](), [Messaging](), [Serverless](), [API](), [Database]() Tags: [ai](), [ai-agent](), [api](), [app](), [build](), [data](), [database](), [messages](), [messaging](), [meta](), [serverless](), [support](), [tutorial](), [tutorials](), [whatsapp]() ### AI overview This tutorial shows how to build a WhatsApp AI support agent with Appwrite Functions and TablesDB. One function receives and stores incoming messages, while a second function retrieves conversation history, uses an order-lookup tool, sends replies through Meta's WhatsApp Cloud API, and stores the responses. Conversation summaries help keep long threads within the model's token budget. ### Source excerpt Turn a WhatsApp number into an AI support agent. Two Appwrite Functions receive messages and reply, TablesDB keeps the conversation history, and a compaction step keeps the context small. ## Build with Claude Code: Enrollment for a Two-Day Cohort Course DevFeed: [Build with Claude Code: Enrollment for a Two-Day Cohort Course]() Original publisher: [Read original article]() Author: ByteByteGo Published: 2026-09-15T19:31:01Z Content type: article Language: en Sources: [ByteByteGo]() Topics: [Claude Code](), [Development](), [Code](), [Git]() Tags: [build](), [claude-code](), [code](), [development](), [git](), [hooks](), [how-to](), [learn](), [mcps](), [parallel]() ### AI overview The article announces the relaunch of Build with Claude Code, a two-day cohort-based course taught by John Kim. It covers Claude Code fundamentals and production workflows, including context engineering, memory, Skills, MCPs, hooks, Git worktrees, subagents, and agent teams. ### Source excerpt We're relaunching Build with Claude Code, a 2-day intensive cohort-based course taught by John Kim, who has trained hundreds of engineers at Meta to use Claude Code in real production workflows. ## Run Zephyr on ESP32 with QEMU: no board required DevFeed: [Run Zephyr on ESP32 with QEMU: no board required]() Original publisher: [Read original article]() Author: John Lee Published: 2026-09-15T00:00:00Z Content type: tutorial Language: en Sources: [Blog on Developer Portal]() Topics: [Zephyr RTOS](), [ESP32](), [qemu](), [Espressif](), [Emulator](), [Embedded Software Dev](), [SDK]() Tags: [blog](), [boot](), [bootloader](), [build](), [debugger](), [emulator](), [esp32](), [esp32-c3](), [esp32-c6](), [esp32-s3](), [espressif](), [firmware](), [flash](), [gdb](), [install](), [qemu](), [sdk](), [toolchain](), [tutorial](), [zephyr]() ### AI overview This tutorial explains how to install and use the Espressif QEMU fork to build and run Zephyr firmware for emulated ESP32, ESP32-S3, ESP32-C3, and ESP32-C6 targets without physical boards. It covers Simple Boot and MCUboot/sysbuild workflows, debugger attachment through GDB, and the relevant Zephyr SDK toolchain setup. ### Source excerpt Install the Espressif QEMU fork and run Zephyr on emulated ESP32, ESP32-S3, ESP32-C3, and ESP32-C6 targets without a physical board. ## Build Setup: Targets, Source Sets and buildSrc for tvOS in a Compose Multiplatform Fork DevFeed: [Build Setup: Targets, Source Sets and buildSrc for tvOS in a Compose Multiplatform Fork]() Original publisher: [Read original article]() Author: Sajid Ali Published: 2026-09-14T04:24:43Z Content type: tutorial Language: en Sources: [ProAndroidDev - Medium]() Topics: [compose-multiplatform](), [tvOS](), [Kotlin Multiplatform](), [Gradle]() Tags: [apple](), [build](), [compiler](), [compose-multiplatform](), [gradle](), [gradle-plugin](), [ios](), [jetbrains](), [multiplatform](), [source]() ### AI overview This tutorial explains the build setup for adding tvOS support to a Compose Multiplatform fork. It covers Kotlin Multiplatform targets, source-set organization shared between iOS and tvOS, and the build-layer work used to identify missing modules and dependencies. ### Source excerpt Compose Multiplatform on tvOS This series: Compose Multiplatform on tvOS My Journey Making Compose Multiplatform Work on tvOS, and What I Learned Build Setup: Targets, Source Sets and buildSrc for tvOS in a Compose Multiplatform Fork (this post) Rendering (coming soon) Siri Remote input (coming soon) Siri Remote trackpad (coming soon) Screen density and text input (coming soon) Porting tv-material (coming soon) The Gradle plugin and third-party libraries (coming soon) Maintaining the fork (coming soon) Building a real app on it (coming soon) Part 1 was why this fork exists. This one is the build layer, and it comes before any Compose code, because in Kotlin Multiplatform a target is not a flag you flip at the end. It decides which source sets compile, which dependencies resolve, which klibs get published, which linker flags get passed. Until the build knows about tvosArm64, nothing tells you what is missing. So the first commits were build files. Once the targets were on, the compiler listed what was missing, module by module, and I worked through that list. Source set layout on the tvos branch I started on a branch called tvos, based on upstream. Back then JetBrains called iOS "uikit" in this repository and the source set was uikitMain. Because tvOS is also UIKit underneath, it made sense to have a common source parent for both iOS and tvOS. But iOS was already being called uikit, so I chose uiKitCommonMain as the source set name and moved all the UIKit files there, keeping only the iOS specific files in uikitMain and putting the tvOS specific files in a new source set, tvosMain. The problem with this approach was how to keep up with upstream. I tried a symlink to the uikit source set, and then overriding the tvOS files in a separate target. The override worked but complicated the process. At that time my goal was to make it runnable on tvOS however possible, so we would have a proof of concept. So I did a lot of hacks in the tvos branch to make it runnable, and af ## How we shipped 15 Tbps for OpenAI in 90 days (Session 2 of 3) DevFeed: [How we shipped 15 Tbps for OpenAI in 90 days (Session 2 of 3)]() Original publisher: [Read original article]() Author: Sridhar Rajarao Published: 2026-09-12T00:00:00Z Content type: article Language: en Sources: [Sridhar Rajarao]() Topics: [OpenAI](), [Network](), [GPU](), [Server](), [Cache](), [API](), [Oracle Database]() Tags: [api](), [architecture](), [build](), [cache](), [capacity](), [database](), [debugging](), [execution](), [gateway](), [gpu](), [network](), [object](), [openai](), [performance](), [platform-engineering](), [server](), [servers](), [sre](), [storage](), [testing](), [warp]() ### AI overview The second session describes turning an architecture for OpenAI's 15 Tbps system into a delivery plan. It covers coordinated capacity planning across network, gateway, server, storage, and database teams; caching object names through the Inventory API; delivery tracking; and performance validation. Early WARP testing found packet drops caused by an unsuitable MTU of 1500, which was changed to 9100. ### Source excerpt Architecture was only the first week. Session 2 is about the build: capacity, execution discipline, and the first signs that performance would be the real test. ## \[$\] Accelerating the kernel's build process DevFeed: [\[$\] Accelerating the kernel's build process]() Original publisher: [Read original article]() Author: corbet Published: 2026-09-11T14:15:32Z Content type: article Language: en Sources: [LWN.net]() Topics: [Kernel](), [Large Language Model]() Tags: [build](), [kernel](), [llm]() ### AI overview The article describes how Lorenzo Stoakes used assistance based on large language models to improve the Linux kernel's complex build system and substantially reduce kernel build times. ### Source excerpt Kernel developers do a lot of kernel builds. Since the kernel is not a small program, those builds can take a fair amount of time, even on a fast machine. The kernel also has a complex build system; it is probably fair to say that few developers truly understand it, and fewer still are willing to try to improve it. Lorenzo Stoakes, armed with LLM-based assistance, decided to give it a try, though, and has managed to reduce the time it takes to build a kernel -- and not by a small amount. ## How to Connect Your Twilio Agent to External APIs with PHP DevFeed: [How to Connect Your Twilio Agent to External APIs with PHP]() Original publisher: [Read original article]() Author: Amanda Lange, Matthew Setter Published: 2026-09-11T00:00:00Z Content type: tutorial Language: en Sources: [Twilio Blog]() Topics: [PHP](), [Tutorial](), [AI Agent](), [API](), [REST API](), [voice ai](), [.env](), [OpenAI](), [Composer](), [ide]() Tags: [agent](), [agents](), [apis](), [build](), [conversation-relay](), [developer-insights](), [external](), [how-to](), [openai](), [openswoole](), [php](), [rest-api](), [tutorial](), [voice]() ### AI overview This tutorial shows how to use PHP and OpenSwoole with Twilio Conversation Relay to build a voice agent that uses LLM tool calling to retrieve live data from an external REST API. It covers project setup, required packages, and storing an OpenAI API key in a .env file. ### Source excerpt In this tutorial, you will use PHP and OpenSwoole to build a voice agent using Twilio Conversation Relay. ## Build a support chatbot with Appwrite Functions and VectorsDB DevFeed: [Build a support chatbot with Appwrite Functions and VectorsDB]() Original publisher: [Read original article]() Author: Atharva Deosthale Published: 2026-09-10T00:00:00Z Content type: tutorial Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [Chat Bot](), [Retrieval-Augmented Generation](), [Embeddings](), [React](), [SDKs](), [Node.js]() Tags: [api](), [build](), [chat](), [deploy](), [embedding](), [functions](), [node-js](), [rag](), [react](), [retrieval](), [support](), [tutorials]() ### AI overview This tutorial builds Harbor Help, a support chatbot for a fictional project-management product. It uses Appwrite VectorsDB to store help-center article embeddings, an Appwrite Function to retrieve relevant excerpts and generate answers through OpenRouter, and Appwrite Sites to host a React interface. The chatbot uses retrieval-augmented generation and can refuse questions outside the help center. ### Source excerpt Seed a help center, retrieve relevant articles with VectorsDB, and answer customer questions through an Appwrite Function. Deploy the chat interface on Appwrite Sites. ## A Multi-Module Android Template with Kotlin Convention Plugins, Lint Rules, and Design System Tokens DevFeed: [A Multi-Module Android Template with Kotlin Convention Plugins, Lint Rules, and Design System Tokens]() Original publisher: [Read original article]() Author: Shamil Gulmetov Published: 2026-09-09T01:34:18Z Content type: tutorial Language: en Sources: [ProAndroidDev - Medium]() Topics: [Template](), [Android](), [Architecture & Design](), [Kotlin](), [Gradle](), [Jetpack Compose](), [Dependency injection](), [Automation](), [Refactoring](), [now-in-android]() Tags: [android](), [android-app-development](), [android-architecture](), [android-studio](), [architecture](), [automation](), [best-practices](), [build](), [compose](), [dependency-injection](), [gradle](), [how-to](), [jetpack-compose](), [kotlin](), [now-in-android](), [refactoring]() ### AI overview This tutorial presents an Android Architecture Template based on patterns from Google's Now in Android repository. It describes a multi-module structure with Gradle Version Catalogs, Kotlin Convention Plugins, Jetpack Compose design tokens and dark-theme support, dependency injection, custom Lint rules, and a terminal-based renaming tool. ### Source excerpt How to streamline your development workflow with pre-configured Kotlin Convention Plugins, custom Lint rules, and unified design system tokens. Creating a new Android application from scratch in modern engineering is rarely as simple as clicking File -> New -> New Project in Android Studio. Before writing a single line of business logic, developers face hours -- or even days -- of repetitive infrastructure setup: Configuring a scalable multi-module architecture. Setting up Gradle Version Catalogs and writing custom Kotlin Convention Plugins to eliminate build script duplication. Standardizing design tokens and dark theme support in Jetpack Compose. Wiring up Hilt Dependency Injection for Coroutine Dispatchers, network, and Application Scopes. Enforcing architectural boundaries and team coding standards using custom static analysis (Lint) rules. Google's official Now in Android (NiA) repository is the recognized gold standard for modern Android engineering. However, because NiA is a full-featured showcase app with domain logic (news feeds, authors, bookmarks, offline sync), using it as a starter kit is cumbersome: developers must strip out existing features while risking breaking build pipelines. This Android Architecture Template bridges that gap: a clean, production-ready starter kit that extracts NiA's best architectural patterns into an isolated foundation. To make it enterprise-ready with zero room for error, it includes a standalone automation tool. Instead of manual refactoring, run a single terminal command to rename and brand the entire architecture in seconds. Acknowledgments & Credits Core architectural decisions, build-logic convention plugins, and static analysis infrastructure in this template are directly inspired by Google's official Now in Android (NiA) repository. Rather than reinventing the wheel, this template focuses on developer ergonomics--making Google's best practices instantly usable out of the box. 1. Modular Project Architecture The repository ## Migrating evilmartians.com from Gatsby to Astro in two weeks with Claude DevFeed: [Migrating evilmartians.com from Gatsby to Astro in two weeks with Claude]() Original publisher: [Read original article]() Author: Travis Turner (richardturner@evilmartians.com) Published: 2026-09-08T00:00:00Z Content type: tutorial Language: en Sources: [Evil Martians]() Topics: [Astro](), [gatsby](), [migration](), [Claude](), [Large Language Model](), [GraphQL](), [React](), [Security](), [build performance]() Tags: [ai](), [astro](), [build](), [claude](), [dx](), [graphql](), [javascript](), [migration](), [react](), [security](), [typescript]() ### AI overview Evil Martians describes migrating evilmartians.com from Gatsby to Astro in two weeks with Claude. The article outlines the site's Gatsby maintenance, security, and build-time costs, and discusses four bugs that could have shipped if the agent had operated without oversight. ### Source excerpt 367 posts, four years on Gatsby, and no dedicated team: here's how we moved evilmartians.com to Astro in two weeks with an LLM. ## Outbid.lol's Growth and Lessons for Payment Infrastructure DevFeed: [Outbid.lol's Growth and Lessons for Payment Infrastructure]() Original publisher: [Read original article]() Author: Rishabh Goel Published: 2026-09-07T00:00:00Z Content type: article Language: en Sources: [Dodo Payments Blog]() Topics: [Website](), [Internet]() Tags: [build](), [competition](), [newsletter](), [payments](), [platform](), [product](), [scale](), [small-ideas]() ### AI overview The article examines how Outbid.lol grew from a simple paid public leaderboard into a widely discussed launch, citing reported figures of more than a million visitors and over $220K in bids or revenue. It also discusses the importance of payment infrastructure during sudden growth and announces Dodo Payments v1.113.6 improvements. ### Source excerpt Outbid.lol turned a 3-hour build into $220K and a million visitors. Why small ideas scale, plus v1.113.6: subscription pause, PPP, and Charm Pricing. ## VoIP, VPN, and the Build System Behind Them DevFeed: [VoIP, VPN, and the Build System Behind Them]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-09-04T00:00:00Z Content type: article Language: en Sources: [CodeName One]() Topics: [Virtual Private Network](), [cross-platform](), [API](), [iOS](), [Android](), [Java](), [Framework](), [Extension]() Tags: [android](), [apis](), [build](), [build-system](), [extension](), [integration](), [java](), [native](), [packages](), [platform](), [signing](), [vpn]() ### AI overview Codename One adds native call-management and VPN APIs for iOS and Android. Its builders generate the required platform services, frameworks, permissions, delegates, and separately signed extension targets based on the Java packages an application uses. ### Source excerpt Codename One adds native call management and VPN APIs, while its builders generate the platform services, frameworks, permissions, and extension plumbing only when an application uses them. ## Announcing Bitbucket support for Sites and Functions DevFeed: [Announcing Bitbucket support for Sites and Functions]() Original publisher: [Read original article]() Author: Harsh Mahajan Published: 2026-09-03T00:00:00Z Content type: release Language: en Sources: [Appwrite Blog]() Topics: [bitbucket](), [Appwrite](), [Deployment](), [Git]() Tags: [announcements](), [atlassian](), [bitbucket](), [build](), [deployment](), [git](), [oauth](), [pull-request](), [qr-code]() ### AI overview Appwrite announces Bitbucket support for Sites and Functions. Users can connect a Bitbucket workspace and repository so pushes trigger builds and deployments, with branch previews, Bitbucket links, commit statuses, pull request comments, logs, preview URLs, and QR codes. ### Source excerpt Appwrite now deploys from Bitbucket. Connect a workspace, pick a repository, and every push builds a Site or Function, with links that resolve to Bitbucket. ## Build a help center with semantic search using Appwrite VectorsDB DevFeed: [Build a help center with semantic search using Appwrite VectorsDB]() Original publisher: [Read original article]() Author: Atharva Deosthale Published: 2026-09-02T00:00:00Z Content type: tutorial Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [AI search](), [Embeddings](), [Front end](), [Node.js]() Tags: [api](), [app](), [build](), [embeddings](), [front-end](), [node-js](), [search](), [tutorial](), [tutorials](), [vector-search]() ### AI overview This tutorial shows how to build a help center with semantic search using Appwrite VectorsDB and a TanStack Start front end. It covers creating a vector collection, embedding help articles, and ranking answers by meaning. ### Source excerpt Create a vector collection in the Appwrite Console, embed help articles as they are published, and rank answers by meaning in a TanStack Start app. ## Build Hints That Fail Before the Build Server DevFeed: [Build Hints That Fail Before the Build Server]() Original publisher: [Read original article]() Author: Shai Almog Published: 2026-09-02T00:00:00Z Content type: article Language: en Sources: [CodeName One]() Topics: [Compiler](), [Java](), [configuration]() Tags: [autocomplete](), [build](), [compilation](), [compiler](), [configuration](), [java]() ### AI overview Codename One moves 87 common build hints into Java annotations so the compiler can catch misspelled names, incorrect value types, and unsupported options before builds reach the server. The change preserves the existing key-and-string format used by older projects and the build service. ### Source excerpt Codename One now exposes 87 common build hints as Java annotations, giving the compiler enough information to reject misspelled names, wrong types, and unsupported values before a build reaches the server. ## Product Engineering for PMs, Part 1: Build a SaaS App Without Coding DevFeed: [Product Engineering for PMs, Part 1: Build a SaaS App Without Coding]() Original publisher: [Read original article]() Author: Paweł Huryn Published: 2026-08-31T15:35:45Z Content type: tutorial Language: en Sources: [The Product Compass]() Topics: [Software as a service](), [Claude Code](), [Supabase](), [Browser Automation](), [Automation](), [test](), [coding](), [Artificial Intelligence]() Tags: [automation](), [browser](), [build](), [claude](), [claude-code](), [coding](), [deploy](), [how-to](), [monetization](), [saas]() ### AI overview A step-by-step series for PMs and non-coders to design, build, secure, deploy, launch, monetize, analyze, and monitor a commercial SaaS app using Claude Code, Clerk, and Supabase. The case study is AskOne, a live Q&A product, and the article includes prompts, templates, browser automation, and testing workflows. ### Source excerpt Design, build, secure, and deploy a real multi-tenant SaaS app in 3-4 hours: Claude Code, Clerk, Supabase. No coding. All prompts included. ## Build Your Own AI-Powered Slack Bot with the Laravel AI SDK DevFeed: [Build Your Own AI-Powered Slack Bot with the Laravel AI SDK]() Original publisher: [Read original article]() Author: Freek Van der Herten (freek@spatie.be) Published: 2026-08-31T12:59:25Z Content type: tutorial Language: en Sources: [freek.dev - all blogposts]() Topics: [Laravel](), [Artificial Intelligence](), [SDK](), [Slack]() Tags: [ai](), [build](), [knowledge-base](), [laravel](), [php](), [providers](), [sdk](), [slack](), [spatie](), [tasks](), [tools]() ### AI overview A tutorial on building an AI-powered Slack bot with the Laravel AI SDK. The bot can switch AI providers, answer questions, execute tasks, and retrieve information from a controlled knowledge base. ### Source excerpt In this article, we'll build an AI-powered Slack bot with the Laravel AI SDK. Unlike tools such as Claude Tag, it can switch AI providers, answer questions, execute tasks, and retrieve information from a knowledge base you control. Read more [Next page]()