# API Published articles for API. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Web Search Limitations and Duplicated Tooling Complicate Market-Signal Agents DevFeed: [Web Search Limitations and Duplicated Tooling Complicate Market-Signal Agents]() Original publisher: [Read original article]() Author: Charlie Klein; Bryan Smith Published: 2026-09-17T17:00:00Z Content type: opinion Language: en Sources: [Databricks]() Topics: [Web](), [Software](), [Claude Code](), [codex](), [API](), [Model Context Protocol](), [databricks]() Tags: [agent](), [api](), [claude-code](), [codex](), [databricks](), [databricks-ai](), [llms](), [mcp](), [orchestration](), [platform](), [product](), [search](), [web]() ### AI overview The article describes an agent that combines company data in Databricks with web-based market signals. Its enrichment logic is rebuilt across Claude Code, Codex, and a direct model API workflow because each provides different tools, search behavior, and configuration requirements. The article argues that inconsistent web search and the lack of a shared layer make reliable account enrichment difficult. ### Source excerpt An agent that needs the outside worldAn engineer at a software company is building... ## Developing Apps for the iPhone Duo: Best Practices and Upcoming iOS 27.1 APIs DevFeed: [Developing Apps for the iPhone Duo: Best Practices and Upcoming iOS 27.1 APIs]() Original publisher: [Read original article]() Author: hococoder Published: 2026-09-17T15:00:52Z Content type: tutorial Language: en Sources: [Kodeco | High quality programming tutorials: iOS, Android, Swift, Kotlin, Unity, and more]() Topics: [iphone](), [iOS](), [API](), [Xcode]() Tags: [api](), [apple](), [apps](), [article](), [best-practices](), [developing](), [features](), [free](), [ios](), [iphone]() ### AI overview This article discusses best practices for preparing apps for the iPhone Duo and previews API changes planned for iOS 27.1. It highlights size classes, screen changes, and other hardware and interface considerations while noting that Xcode does not yet support the device. ### Source excerpt Learn about best practices for developing for the iPhone Duo, and get a sneak peek at the upcoming API changes in iOS 27.1, specifically for the Duo! ## Microsoft прекратит поддержку модулей Graph для Windows PowerShell 5.x DevFeed: [Microsoft прекратит поддержку модулей Graph для Windows PowerShell 5.x]() Original publisher: [Read original article]() Author: maybe\_elf Published: 2026-09-17T07:07:54Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [PowerShell](), [Microsoft](), [API](), [REST API]() Tags: [api](), [graph](), [microsoft](), [microsoft-365](), [microsoft-graph](), [powershell](), [rest-api](), [tag-13acbb3718a7](), [tag-25f83bc28918](), [tag-82fb255df683](), [tag-c85b5c428c35](), [windows]() ### AI overview Microsoft is ending support for Microsoft Graph PowerShell modules on PowerShell 5.x through a planned 12-month transition. Version 2.x modules will continue to work during that period, but new features will target PowerShell 7.x and version 3.x modules will support only PowerShell 7.x. ### Source excerpt Microsoft объявила о прекращении поддержки модулей Graph для PowerShell 5.x и порекомендовала пользователям перейти на новую версию. В 2025 году компания сообщила о планах по выводу из эксплуатации некоторых компонентов Graph. Читать далее ## How API Design Is Evolving for AI Agents, Security, Reliability, and Compliance DevFeed: [How API Design Is Evolving for AI Agents, Security, Reliability, and Compliance]() Original publisher: [Read original article]() Author: J Simpson Published: 2026-09-17T07:00:00Z Content type: article Language: en Sources: [Nordic APIs]() Topics: [API](), [Architecture & Design](), [Artificial Intelligence](), [reliability](), [Security]() Tags: [agents](), [ai-agents](), [api](), [api-architecture](), [api-as-a-product](), [api-design](), [api-discovery](), [api-security](), [architecture](), [authorization](), [blog](), [mcp](), [microservices](), [rate-limiting](), [reliability](), [security]() ### AI overview This article examines six ways API design is evolving as APIs serve AI agents and other machine consumers, with implications for security, reliability, and regulatory compliance. ### Source excerpt For over two decades, API design and architecture remained remarkably consistent. Perhaps it's the outsized influence of Roy Fielding's RESTful dissertation, but API designers have stuck to the principles of stateless architecture, resource-based endpoints, and HTTP commands to an impressive degree. That's all starting to change, now that we've radically recontextualized the way we use ... ## 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. ## \[Aug 2026\] AI Community -- Activity Highlights and Achievements DevFeed: [\[Aug 2026\] AI Community -- Activity Highlights and Achievements]() Original publisher: [Read original article]() Author: Nari Yoon Published: 2026-09-17T05:12:15Z Content type: article Language: en Sources: [Google Developer Experts - Medium]() Topics: [Google AI](), [Google](), [google-antigravity](), [Artificial Intelligence](), [MCP Server](), [computer-use](), [Fine-tuning]() Tags: [2026](), [agentic-ai](), [ai](), [ai-coding-agents](), [ai-studio](), [antigravity](), [api](), [automation](), [community](), [computer-use](), [gemini](), [google](), [google-ai](), [google-cloud](), [mcp](), [mcp-server](), [multi-agent](), [ocr](), [paper](), [pitfalls]() ### AI overview A monthly roundup of Google AI community activities and achievements, covering Antigravity prototyping and engineering, AI coding agents, MCP-based remote control, computer-use agent orchestration, earthquake research, and TPU fine-tuning and migration guidance. ### Source excerpt We love sharing the accomplishments of the Google AI communities over the month. We appreciate all the hard work and dedication of our community members. Without further ado, here are the key highlights by products! Agentic DevelopmentAntigravityPrototype App: OCR and Text Extraction by the author Prototyping and Bringing Ideas to Application Using Google AI Studio and Antigravity 2.0 by AI GDE Joan Santoso (Indonesia) shares a rapid prototyping workflow building an AI-powered Form Extractor using the Gemini API, featuring a lightweight OCR and text extraction workflow. Antigravity Engineering Series by GDE Amulya Bhatia (Germany) focuses on key features of Antigravity 2.0 across 10 articles covering topics such as multi-agent orchestration, safety architecture, and workflow automation, accompanied by source code examples. (image soruce) Remote Control for Google Antigravity: Drive Your AI Coding Agent From Telegram 🛰 by GDE Nicola Guglielmi (Italy) introduces an open-source MCP server that turns Telegram into a remote control surface for AI coding agents. Before the Quake: How Antigravity CLI's AI Agents & IoT Data Predict Earthquakes by GDE Kanshi Tanaike (Japan) introduces the paper establishing Unified LAIC-AGW Theory by integrating ultra-dense IoT weather data with seismic moment tensors. It demonstrates a pre-seismic early warning capability by capturing enthalpy anomalies and acoustic-gravity waves. ADKAI GDE Henry Ruiz (US) and AI GDE Margaret Maynard-Reid (US) AI GDE Henry Ruiz (US) and AI GDE Margaret Maynard-Reid (US) introduced UISurf: An Operator-Centric Multi-Agent Platform for Observable and Cross-Environment UI Automation at the Agentic AI Summit 2026. They highlighted how the model-agnostic framework leverages the Google Cloud and Gemini ecosystems, such as GEAP and ADK, to orchestrate and evaluate computer-use agents across web, desktop, and mobile environments. Frameworks and ResearchTPU Introduction to SFT on TPU with Tunix -- 10 pitfalls until 2 ## Agent Anomaly Detection, now in Private Preview on the Gemini Enterprise Agent Platform DevFeed: [Agent Anomaly Detection, now in Private Preview on the Gemini Enterprise Agent Platform]() Original publisher: [Read original article]() Author: Achuth Narayan Rajagopal Published: 2026-09-17T01:25:27.608736Z Content type: release Language: en Sources: [Google Developers Blog]() Topics: [agent observability](), [OpenTelemetry](), [Security](), [Traces](), [API]() Tags: [agent](), [anomaly-detection](), [api](), [autonomous-agents](), [gemini](), [opentelemetry](), [security]() ### AI overview Google announces Agent Anomaly Detection in private preview on the Gemini Enterprise Agent Platform. The feature analyzes agents' reasoning traces, tool calls, logs, and execution flows to identify behavioral anomalies, suspicious intent, and policy violations. ### Source excerpt Agent Anomaly Detection is a new, out-of-band oversight layer for the Gemini Enterprise Agent Platform that analyzes OpenTelemetry traces and tool calls to catch behavioral risks without adding runtime latency to live requests. It utilizes a multi-tiered detection pipeline--combining lightweight statistical scanning with deep LLM-based reasoning--to identify logical anomalies and policy violations grounded in the OWASP Agentic Top 10. Developers can triage these automated findings within Security Command Center or leverage the exposed API to programmatically block subsequent tool calls when an agent breaches defined risk thresholds. ## Perplexity's AI agents helped build a database. They weren't allowed to run it. DevFeed: [Perplexity's AI agents helped build a database. They weren't allowed to run it.]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-16T21:51:15Z Content type: article Language: en Sources: [The New Stack]() Topics: [Database](), [DynamoDB](), [Rust](), [Artificial Intelligence](), [rocksdb](), [Amazon S3]() Tags: [agents](), [ai](), [ai-agents](), [ai-infrastructure](), [api](), [coding](), [coding-agents](), [database](), [databases](), [dynamodb](), [open-source](), [performance](), [perplexity](), [rocksdb](), [rust](), [s3]() ### AI overview Perplexity built CobbleDB, a Rust key-value store, after finding DynamoDB too costly and insufficiently controllable for its search workload. Coding agents helped develop it, but were not allowed to run it in production. Perplexity measured lower read latency and expects lower costs, with plans to open-source the database. ### Source excerpt Perplexity decided it was paying too much for DynamoDB and wasn't getting the control it wanted over read performance. So The post Perplexity's AI agents helped build a database. They weren't allowed to run it. appeared first on The New Stack. ## Platform Engineering in the Age of AI DevFeed: [Platform Engineering in the Age of AI]() Original publisher: [Read original article]() Author: Nicole Morgan Published: 2026-09-16T20:28:57.610955Z Content type: opinion Language: en Sources: [Harness Blog]() Topics: [Platform Engineering](), [Artificial Intelligence](), [AI Agent](), [internal developer portal](), [API](), [Deployment](), [sdlc]() Tags: [agent](), [ai](), [api](), [deployment](), [developer-experience](), [engineering](), [metrics](), [platform](), [sdlc]() ### AI overview This commentary examines how platform engineering is adapting as AI coding tools and agents become part of software delivery. It discusses the build-versus-provide decisions facing platform teams, how agents may consume internal developer platforms through APIs, the need for guardrails, and the challenge of measuring the results of AI investment. ### Source excerpt 94% of engineering leaders say their AI metrics are missing. Here's how platform engineering is changing to close that gap. | Blog ## Researchers link the RubyHack campaign to alleged OpenAI-connected agents, while RubyGems disputes key claims DevFeed: [Researchers link the RubyHack campaign to alleged OpenAI-connected agents, while RubyGems disputes key claims]() Original publisher: [Read original article]() Author: amaksimovv (CodeScoring) Published: 2026-09-16T15:08:49Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [rubygems](), [Ruby](), [OpenAI](), [legacy](), [API]() Tags: [api](), [appsec](), [cdn](), [gemstuffer](), [legacy](), [load](), [openai](), [ruby](), [rubydoc](), [rubygems](), [rubyhack](), [tag-070ecaaf0eda](), [tag-64251c106897](), [yard]() ### AI overview Researchers from Nightingale Collective linked the RubyHack campaign in RubyGems to alleged internal OpenAI agents. The article describes malicious code executed during RubyDoc documentation builds, data collection from British municipal websites, attempts to obtain RubyGems API keys, and a caching flaw involving legacy keys. RubyGems said it could not independently identify the package creators and found no evidence that чужие keys were successfully obtained. ### Source excerpt 11 сентября исследователи Nightingale Collective опубликовали разбор RubyHack и связали майскую кампанию в RubyGems с внутренними агентами OpenAI. По их версии, скрипты внутри пакетов запускали код в инфраструктуре RubyDoc, собирали открытые данные с сайтов британских муниципалитетов и публиковали результаты обратно в реестр. В нескольких образцах исследователи также обнаружили попытки получить чужие API-ключи RubyGems. Команда RubyGems не смогла независимо установить, кем именно были созданы пакеты, и не нашла доказательств успешного получения чужих ключей. Во время майской кампании она отозвала вредоносные пакеты и на четыре дня остановила регистрацию новых пользователей. Одной из точек входа стала обычная сборка документации. В пакет добавляли .yardopts - файл параметров генератора YARD - с указанием загрузить Ruby-скрипт. Когда для пакета запрашивали документацию на RubyDoc, сборщик обрабатывал этот файл и запускал вложенный код. Такое поведение соответствует механике самого YARD: параметр --load загружает указанный Ruby-файл перед выполнением команды. Запущенный скрипт обращался к муниципальным сайтам, сохранял ответы, собирал из них новый .gem-архив и отправлял его в RubyGems со встроенным ключом. В результате реестр использовался как канал передачи и хранения собранных данных. Установка такого пакета множеством разработчиков для работы этой схемы не требовалась: достаточно было исполнения кода в сервисе сборки документации. Отдельные пакеты обращались к старому endpoint выдачи API-ключей. В нём действовала ошибка кэширования: при определённых условиях CDN мог сохранить ответ с legacy-ключом и до часа отдавать его следующим запросам на том же узле. RubyGems исправил проблему 9 июля, очистил кэш, отозвал legacy-ключи и затем отключил старый endpoint. Читать далее ## Google introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking DevFeed: [Google introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking]() Original publisher: [Read original article]() Author: techno\_mot (Selectel) Published: 2026-09-16T13:40:43Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [Google](), [speech-to-speech](), [Google AI](), [Artificial Intelligence](), [API]() Tags: [ai](), [api](), [audio](), [gemini](), [google](), [llm](), [realtime](), [selectel](), [speech-to-speech](), [synthid](), [tag-efc6fa45f1fe](), [voice]() ### AI overview Google introduced two native speech-to-speech models: Gemini 3.8 Live, focused on scale and cost, and Gemini 3.8 Live Extended Thinking, designed for multi-step tasks with reasoning during dialogue. The article discusses direct audio processing, asynchronous function calls, visual context, multilingual conversations, SynthID watermarking, pricing, and availability through the Gemini API and Google AI Studio. ### Source excerpt 15 сентября Google представила две нативные speech-to-speech модели, Gemini 3.8 Live и Gemini 3.8 Live Extended Thinking. Первая заточена под масштаб и цену, вторая -- под многошаговые задачи с рассуждением прямо в диалоге. Интереснее баллов то, что голосовые агенты наконец получили признаки продакшен-продукта. Асинхронные вызовы функций, предсказуемая цена, интеграции с тем, на чем такие системы реально собирают. Хочу напомнить, как это делалось раньше. Голосовой бот -- конвейер из трех сервисов. Распознавание речи, языковая модель и синтез. Задержки складываются, а вместе с текстом может потеряться все остальное -- интонация, скорость речи, эмоция, шум на фоне. Модель получает расшифровку и не знает, что собеседник злится. Проблемным было и перебивание. Пока распознавание не закрыло фразу, система вообще не понимает, что ее прервали. Нативная speech-to-speech модель работает с аудио напрямую и снимает оба ограничения разом. Читать далее ## sem-ai 0.4.0: smaller responses, safer access, and pre-flight checks DevFeed: [sem-ai 0.4.0: smaller responses, safer access, and pre-flight checks]() Original publisher: [Read original article]() Author: Pete Miloravac Published: 2026-09-16T12:01:04Z Content type: release Language: en Sources: [Semaphore Engineering]() Topics: [AI-assisted coding](), [Claude Code](), [Command-line interface](), [Authorization](), [API](), [configuration]() Tags: [ai-coding-agents](), [api](), [audio](), [claude-code](), [command-line](), [configuration](), [permissions](), [pipelines](), [product-news](), [release](), [video]() ### AI overview Semaphore's sem-ai 0.4.0 release adds more compact workflow and pipeline responses, context switching across organizations and credentials, and support for managing pre-flight checks. The update is aimed at reducing context usage and enabling more targeted permissions for AI coding agents. ### Source excerpt AI coding agents work best when they receive the right information without unnecessary noise. They also need clearly defined permissions and reliable safeguards for the changes they make. sem-ai 0.4.0 improves all three areas. The release introduces more compact pipeline responses, flexible context switching, and support for Semaphore pre-flight checks. Watch Nick demonstrate the new [...] The post sem-ai 0.4.0: smaller responses, safer access, and pre-flight checks appeared first on Semaphore. ## 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 ## Kotlin on the server at Khan Academy DevFeed: [Kotlin on the server at Khan Academy]() Original publisher: [Read original article]() Author: Khan Academy Published: 2018-06-28T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Kotlin](), [backend-development](), [Python](), [Google]() Tags: [api](), [bigquery](), [blog-post](), [developer-experience](), [engineering](), [google](), [http](), [infrastructure](), [java](), [kotlin](), [news](), [python](), [server-side-development]() ### AI overview Khan Academy describes testing Kotlin for user-facing server requests during a 2018 hackathon and deciding to adopt Kotlin as a second server-side language after reporting positive efficiency results and a positive developer experience. ### Source excerpt By Colin Fuller At Khan Academy, we run our web application using Python 2.7 on Google's App Engine ... Read more ## The Autonomous Dumbledore DevFeed: [The Autonomous Dumbledore]() Original publisher: [Read original article]() Author: Khan Academy Published: 2016-04-25T22:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [API](), [Job](), [test](), [maintenance](), [Code]() Tags: [api](), [bugs](), [engineering](), [feature](), [fetch](), [job](), [maintenance](), [news](), [running](), [scheduled](), [test](), [tests](), [web-frontend]() ### AI overview An intern at Khan Academy describes the Autonomous Dumbledore, a system that monitors PSAT score-linking endpoints through recurring tests and automatically enables or disables the related feature based on recent results. ### Source excerpt By Evy Kassirer When I arrived at Khan Academy to start my internship on the Official SAT Practice ... Read more ## It's Okay to Break Things: Reflections on Khan Academy's Healthy Hackathon DevFeed: [It's Okay to Break Things: Reflections on Khan Academy's Healthy Hackathon]() Original publisher: [Read original article]() Author: Khan Academy Published: 2017-03-06T23:00:00Z Content type: article Language: en Sources: [Khan Academy]() Topics: [Hackathon](), [Software Engineering](), [API](), [Web]() Tags: [api](), [collaboration](), [engineering](), [equity](), [hackathon](), [mozilla](), [news](), [reflections](), [software-engineer](), [web-frontend]() ### AI overview Kimerie Green reflects on participating in Khan Academy's internal Healthy Hackathon while working as a Software Engineering Fellow. She describes building Read-to-Me, an experimental project using Mozilla's Web Speech API to read Perseus widget content aloud for early learners. The project was not shipped because it needed further code review and design work, but it provided lessons about curiosity, collaboration, and software engineering. ### Source excerpt By Kimerie Green For the past few months, I have been working as a Software Engineering Fellow at ... Read more ## Why developers should avoid relying on frontier-model APIs in trusted systems DevFeed: [Why developers should avoid relying on frontier-model APIs in trusted systems]() Original publisher: [Read original article]() Author: Niels Provos Published: 2026-09-16T05:42:22Z Content type: opinion Language: en Sources: [APNIC Blog]() Topics: [Artificial Intelligence](), [Frontier Model](), [agentic-coding](), [coding](), [Claude]() Tags: [agentic-coding](), [ai](), [anthropic](), [api](), [artificial-intelligence](), [coding](), [frontier-model](), [gateway](), [guest-post](), [security](), [tech-matters]() ### AI overview This opinion article argues that relying on frontier-lab APIs creates risks around pricing, availability, model behavior, and output integrity. It presents open-weight models as a way to retain control over critical dependencies, while distinguishing coding assistance from placing frontier models in live request paths. ### Source excerpt Guest Post: A frontier API can refuse, change, or vanish out from under you. Open weights keep the model you depend on yours. ## Kubernetes attributes processor reaches v1.0.0 milestone DevFeed: [Kubernetes attributes processor reaches v1.0.0 milestone]() Original publisher: [Read original article]() Author: OpenTelemetry Authors; Docs CC BY Published: 2026-09-16T04:59:27Z Content type: release Language: en Sources: [Blog on OpenTelemetry]() Topics: [OpenTelemetry](), [telemetry](), [releases](), [Kubernetes](), [Go Language]() Tags: [api](), [go](), [kubernetes](), [opentelemetry](), [releases](), [stable](), [telemetry]() ### AI overview The Kubernetes attributes processor has reached version 1.0.0 and fulfills OpenTelemetry's stability criteria for testing, benchmarking, documentation, and telemetry. The release also supports redistribution as a Go library or in binaries without API breakage. ### Source excerpt The Kubernetes attributes processor, which enriches your telemetry with Kubernetes metadata, has officially moved to v1.0.0! You can try it out on your custom distro, and it is also available as part of the latest opentelemetry-collector-contrib and opentelemetry-collector-k8s distro releases. Being v1.0.0 means the component is now verified to fulfill the 'stable' stability criteria including requirements around testing, benchmarking, documentation and telemetry stability. It also ensures you can redistribute it as a Go library or as part of your binaries without API breakage. ## 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. ## Rise of the Knowledge Engineer DevFeed: [Rise of the Knowledge Engineer]() Original publisher: [Read original article]() Author: David Isquick Published: 2026-09-16T00:00:00Z Content type: article Language: en Sources: [Mintlify Blog]() Topics: [Documentation](), [Artificial Intelligence](), [AI-assisted coding](), [Users]() Tags: [agents](), [ai](), [ai-trends](), [api](), [developers](), [documentation](), [knowledge-base](), [operational](), [source-of-truth](), [support](), [workflows]() ### AI overview The article examines the rise of the knowledge engineer as companies increasingly serve AI agents that read documentation, compare products, solve support problems, and perform tasks. It argues that organizations need operating systems and processes to keep knowledge accurate, accessible, consistent, and retrievable, because incorrect information can spread through generated code, support responses, and automated workflows. ### Source excerpt Agents are one of the largest audiences for company knowledge, accounting for 66% of measured web traffic across documentation powered by Mintlify. The emerging role responsible for keeping that knowledge accurate and retrievable is the knowledge engineer. ## TypeSafe AI's Jev now available on AI Gateway DevFeed: [TypeSafe AI's Jev now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-09-16T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [gateway](), [SDKs](), [API](), [Software]() Tags: [ai-gateway](), [api](), [evaluation](), [gateway](), [model](), [queue](), [retry](), [sdk](), [software](), [support](), [typesafe-ai]() ### AI overview Vercel's AI Gateway now supports TypeSafe AI's Jev, a probabilistic decision model that returns typed Choice, Score, and Boolean answers with probabilities. The changelog describes parallel evaluation, AI SDK 7 integration through an experimental evaluate API, example routing and review workflows, and provider options including Zero Data Retention and No Training. ### Source excerpt Jev from TypeSafe AI is now available on AI Gateway. Jev is a probabilistic decision model for software: state goes in, typed Choice, Score, and Boolean answers come out. Regular language models generate text one token at a time, which the application then parses and validates. Jev evaluates all declared questions in parallel and returns typed answers plus probabilities directly. That removes unnecessary text generation and makes it straightforward to automate clear cases while routing uncertain ones to review. TypeSafe reports Jev was up to 193.6x faster and 444.6x cheaper than LLMs on its workflow evaluations. Example use cases include: Choosing the next tool or subagent in an agent loop Deciding whether to continue, retry, ask the user, or stop Scoring urgency or risk before an action Verifying model outputs and enforcing guardrails. AI SDK 7 exposes Jev through the experimental evaluate API. Choice selects an option, Score grades an ordered rubric, and Boolean estimates the probability of true. Install the current AI SDK (AI SDK 7.0.105 onwards supports the evaluate API): Each evaluation specifies: model: the evaluation model to call, state: the shared string, object, or array to evaluate, and questions: a map of named decisions to make about that state. Call the model with typesafe-ai/jev. This example turns one support case into a queue, priority, and refund-review decision, with uncertain routing sent for manual review: The result preserves question IDs and Choice keys. TypeSafe reports separate Choice and Score confidence in result.providerMetadata.typesafe.confidence. Calibrate probabilities and confidence against labeled examples from your workflow. Jev supports Zero Data Retention and No Training, enabled per request in the example. Evaluation calls also appear in logs and custom reporting, count toward budgets, and accept other Gateway provider options in the same providerOptions.gateway object. Read the documentation on evaluation models on AI Gateway f ## MCP went stateless: What changed in the 2026-07-28 spec DevFeed: [MCP went stateless: What changed in the 2026-07-28 spec]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-16T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Model Context Protocol](), [migration](), [HTTP](), [servers](), [client]() Tags: [api](), [client](), [http](), [load-balancer](), [mcp](), [replacement](), [request](), [routing](), [server](), [servers](), [sessions](), [stateless](), [stream]() ### AI overview The 2026-07-28 MCP specification removes protocol-level sessions, the initialize handshake, and stream resumability, making the protocol behave more like an ordinary HTTP API. Most migrations are mechanical, but lost stream requests can cause reliability regressions or duplicated side effects when retried, so side-effecting tools need application-level idempotency keys. The elicitation change also requires architectural rework. ### Source excerpt Sessions, the initialize handshake, and stream resumability are all gone. Here is what replaced them, and what breaks if you ignore it. ## Is Agentic now tailors its audit by site type DevFeed: [Is Agentic now tailors its audit by site type]() Original publisher: [Read original article]() Author: Rich Haines Published: 2026-09-16T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [audit](), [App](), [API](), [Authentication](), [Error Handling](), [SDKs]() Tags: [api](), [app](), [audit](), [authentication](), [error-handling](), [sdk]() ### AI overview Is Agentic reports now support four site-type views: Docs & content, Business, App, and Commerce. The selected view changes which checks are highlighted, while scores remain comparable and unchanged. ### Source excerpt Is Agentic reports now let you view your checks through one of four site types: Docs & content, Business, App, or Commerce. For example, the Commerce view highlights payment and checkout standards like x402, UCP, and ACP, while the App view highlights API discovery, authentication, error handling, and SDK support. Your score stays the same in every view, and you can change views on an existing report without rescanning. Only the highlighted checks change, so you can focus on what matters for your kind of site while keeping scores comparable across sites. To set the default view, add a single meta tag to your page's : Set the value to match your site type: content for Docs & content business for Business app for App store for Commerce The tag only sets which view readers see first. It doesn't add points or change your score. If no type is declared, Is Agentic infers one and shows which type it chose. Run a check at is-agentic.com or read the documentation. Read more ## Gemini Live audio DevFeed: [Gemini Live audio]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-15T22:47:07Z Content type: tutorial Language: en Sources: [Simon Willison's Weblog]() Topics: [speech-to-speech](), [WebSocket](), [Google AI](), [browser](), [Playback](), [implementation](), [API]() Tags: [api](), [audio](), [browser](), [gemini](), [gemini-196](), [generative-ai](), [generative-ai-1-982](), [google](), [google-416](), [llm-release](), [llm-release-231](), [llms](), [llms-1-948](), [model](), [models](), [openai](), [playback](), [release](), [speech-to-speech](), [speech-to-text](), [speech-to-text-21](), [tools](), [tools-78](), [ui](), [voice](), [websocket](), [websockets](), [websockets-21]() ### AI overview The article describes a browser-based web UI for trying Google's Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking speech-to-speech models. The implementation supports model and voice selection, an optional system prompt, voice conversations, and interruption while the model is speaking. It uses no libraries, connecting to a WebSocket endpoint and using the Web Audio API for capture and playback. ### Source excerpt Tool: Gemini Live audio Google released Gemini 3.8 Live and 3.8 Live Extended Thinking today - two new speech-to-speech models that are a similar shape to OpenAI's GPT-Live family. I pointed GPT-6 Astra Extra High at the documentation and had it build me this web UI for trying out the new models. You can select a model and voice preset, enter an optional system prompt and then start a voice conversation through your browser, including the ability to interrupt the model while it is talking. The implementation uses no libraries. It connects to the wss://generativelanguage.googleapis.com/ws/google.ai.generativelanguage.v1alpha.GenerativeService.BidiGenerateContent?key=... WebSocket endpoint and uses a Web Audio API AudioContext for both capture and playback. Here's the Gemini Live tutorial for getting started with that WebSockets API. Tags: google, tools, websockets, generative-ai, llms, gemini, llm-release, speech-to-text [Next page]()