# API An API (Application Programming Interface) is a software interface that lets computers request, retrieve, and exchange data in a standardized way. 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 ... ## 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. ## 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 ## Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads DevFeed: [Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads]() Original publisher: [Read original article]() Author: Leela Kumili Published: 2026-09-16T14:42:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [dropbox](), [Artificial Intelligence](), [API](), [Orchestration](), [Retrieval Augmented Generation (RAG)]() Tags: [ai](), [ai-ml-data-engineering](), [apache](), [apis](), [architecture](), [architecture-design](), [asynchronous-architecture](), [backend](), [caching](), [data-pipelines](), [development](), [distributed-systems](), [dropbox](), [dropbox-riviera-ai-platform](), [embeddings](), [enterprise-content-management](), [large-language-models](), [ml-data-engineering](), [model-context-protocol-mcp](), [news](), [orchestration](), [platform-engineering](), [plugins](), [rag](), [tika]() ### AI overview Dropbox has expanded Riviera from an internal file-preview service into a content-processing platform supporting more than 300 file formats and over 100 transformation capabilities. The platform supports Dropbox products including Search, Replay, Sign, and Dash, and provides APIs for asynchronous document conversion, media transcription, and structured metadata extraction for AI and RAG workflows. ### Source excerpt Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over 100 transformation capabilities. Processing hundreds of thousands of transformations per second, Riviera now supports Search, Replay, Sign, and Dash, while its APIs enable asynchronous content extraction for AI and RAG workflows. By Leela Kumili ## 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. ## 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 ## Creating Query Components with Apollo DevFeed: [Creating Query Components with Apollo]() Original publisher: [Read original article]() Author: Khan Academy Published: 2017-06-12T22:00:00Z Content type: tutorial Language: en Sources: [Khan Academy]() Topics: [GraphQL](), [React](), [React Component](), [API]() Tags: [apollo](), [engineering](), [examples](), [flow](), [graphql](), [how-to](), [news](), [react](), [react-component](), [web-frontend]() ### AI overview This tutorial explains a Query Components pattern for React applications using Apollo and GraphQL. The pattern separates data definitions from presentational components, allowing the presentational layer to remain independent of Apollo and GraphQL. Examples cover filtering by postal code, loading and error states, empty results, and Flow types. ### Source excerpt By Brian Genisio Here at Khan Academy, we've been using GraphQL in several projects with great success. GraphQL ... 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 ## 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. ## 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 ## 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 ## AWS STS simplifies session token size limits and adds session token size monitoring DevFeed: [AWS STS simplifies session token size limits and adds session token size monitoring]() Original publisher: [Read original article]() Author: Rishi Tripathy Published: 2026-09-15T22:21:59Z Content type: release Language: en Sources: [AWS Security Blog]() Topics: [Amazon Web Services](), [Security](), [Monitoring](), [Amazon CloudWatch](), [AWS CloudTrail](), [API]() Tags: [advanced-300](), [amazon-cloudwatch](), [apis](), [aws](), [aws-cloudtrail](), [aws-security-token-service](), [aws-sts](), [infrastructure](), [metrics](), [monitoring](), [security](), [security-blog](), [security-identity-compliance](), [technical-how-to](), [token]() ### AI overview AWS Security Token Service has replaced its separate packed policy and overall session token limits with a single 4,096-byte limit. It now reports session token size and limit utilization in API responses, Amazon CloudWatch metrics, and AWS CloudTrail events. ### Source excerpt AWS Security Token Service (AWS STS) has simplified session token size limits, giving you more room for your session policies and session tags. STS has replaced the packed policy size and the overall session token size limits with a single token size limit of 4,096 bytes. STS now reports session token size in API responses, [...] ## Meta lets Claude and Codex configure WhatsApp Business via MCP DevFeed: [Meta lets Claude and Codex configure WhatsApp Business via MCP]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-15T22:08:56Z Content type: news Language: en Sources: [The New Stack]() Topics: [Meta](), [Model Context Protocol](), [AI-assisted coding](), [Claude](), [codex](), [API]() Tags: [ai](), [ai-agents](), [ai-coding-agents](), [api](), [claude](), [codex](), [developer-tools](), [mcp](), [mcp-server](), [meta](), [model-context-protocol](), [product](), [updates]() ### AI overview Meta announced a WhatsApp Business Tools MCP server that lets developers connect Claude or Codex to selected businesses they administer. The agents can help configure WhatsApp Business accounts, verify phone numbers, manage templates, and perform related API tasks, with access scoped to the businesses the developer selects. ### Source excerpt Any business worth its salt in 2026 needs to be embracing the right tools to reach its customers, and few The post Meta lets Claude and Codex configure WhatsApp Business via MCP appeared first on The New Stack. ## Google and OpenAI take different approaches to reducing voice-agent latency DevFeed: [Google and OpenAI take different approaches to reducing voice-agent latency]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-15T21:50:15Z Content type: comparison Language: en Sources: [The New Stack]() Topics: [Latency](), [Google AI](), [OpenAI](), [API](), [Orchestration](), [real-time](), [Artificial Intelligence]() Tags: [ai](), [ai-agents](), [ai-engineering](), [api](), [comparison](), [google-ai](), [large-language-models](), [latency](), [openai](), [orchestration](), [real-time]() ### AI overview The article compares Google's Gemini 3.8 Live Extended Thinking with OpenAI's GPT-Live-1 for reducing latency in voice agents. Google keeps speech, reasoning, and asynchronous tool execution in one stateful session, while OpenAI uses a real-time conversation model alongside a backend reasoning model, shifting more orchestration to the application. ### Source excerpt Voice agents have a latency problem that shows up as soon as they have to do real work. Within five The post OpenAI's voice model doesn't think. That's the point. appeared first on The New Stack. ## Cisco UCS Manager: Celebrating the legacy, shaping the future with Cisco Intersight DevFeed: [Cisco UCS Manager: Celebrating the legacy, shaping the future with Cisco Intersight]() Original publisher: [Read original article]() Author: Jacob Van Ewyk Published: 2026-09-15T21:00:37Z Content type: opinion Language: en Sources: [Cisco Blogs]() Topics: [Cisco](), [Server](), [Automation](), [configuration](), [API](), [legacy]() Tags: [api](), [automation](), [cisco](), [data-center](), [end-of-life](), [eol](), [infrastructure](), [legacy](), [lifecycle](), [management](), [server]() ### AI overview Cisco describes the legacy of Cisco UCS Manager and positions Cisco Intersight as the strategic platform for future Cisco UCS software management. The article also outlines announced end-of-sale and end-of-life milestones, including a planned Last Date of Support of December 31, 2030, subject to applicable contracts and service terms. ### Source excerpt Cisco UCS Manager shaped 17 years of infrastructure management. Now, with its end-of-life announced, Cisco Intersight carries that foundation forward with centralized visibility, automation, and scale. Learn the key dates for the UCS Manager EOL. ## Kubernetes v1.37: Pod-Level Resource Managers graduated to Beta DevFeed: [Kubernetes v1.37: Pod-Level Resource Managers graduated to Beta]() Original publisher: [Read original article]() Author: Kevin Torres Martinez Published: 2026-09-15T18:30:00Z Content type: release Language: en Sources: [Kubernetes Blog]() Topics: [Kubernetes](), [cpu](), [Hardware](), [Latency](), [API](), [gRPC](), [Monitoring]() Tags: [api](), [cpu](), [hardware](), [kubernetes](), [latency](), [monitoring](), [numa](), [release](), [v1]() ### AI overview Kubernetes v1.37 graduates Pod-Level Resource Managers to Beta, disabled by default. The feature lets Kubelet resource managers use pod-level declarations for hardware placement, enabling NUMA-aligned exclusive resources for primary containers while placing sidecars in a shared pod-isolated pool. The release also adds pod-level reporting to the PodResources gRPC API. ### Source excerpt With the release of Kubernetes v1.37, the Pod-Level Resource Managers feature has graduated to Beta status (disabled by default)! First introduced as an Alpha feature in Kubernetes v1.36, this enhancement builds on Pod-Level Resources by equipping Kubelet's Topology Manager, CPU Manager, and Memory Manager to use Pod-level resource declarations (.spec.resources) directly when making hardware placement decisions. Bringing pod-level resources to node managers Before this feature, obtaining exclusive NUMA-aligned CPU cores or memory for latency-critical applications forced cluster operators into an all-or-nothing choice: assign integer resource requests to every container in the Pod, or forfeit exclusive NUMA alignment entirely. For modern workloads running lightweight sidecars (such as logging agents or telemetry exporters), allocating dedicated physical cores to auxiliary containers was wasteful. Pod-Level Resource Managers solves this challenge by enabling hybrid allocation models. The Kubelet can reserve exclusive NUMA-aligned resources for primary application containers while placing non-Guaranteed sidecars into a pod-isolated shared pool. This ensures primary workloads get unthrottled, NUMA-local performance while sidecars benefit from running in a pod-isolated shared pool, enjoying local NUMA alignment and protection from external node interference without consuming dedicated physical cores. What's new in Beta Graduating to Beta brings key operational and API enhancements: Graduation to Beta: Controlled by the PodLevelResourceManagers feature gate, available to opt in (disabled by default) in Kubernetes v1.37. PodResources API Reporting: The v1 PodResources gRPC service (PodResourcesLister) introduces top-level cpu_ids and memory fields on PodResources responses. Monitoring tools and device plugins can query pod-level exclusive assignments directly without double-counting container allocations. Getting started and providing feedback For a deep dive into the tech ## Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking DevFeed: [Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking]() Original publisher: [Read original article]() Author: Tom Ouyang Published: 2026-09-15T17:05:57Z Content type: release Language: en Sources: [Google DeepMind News]() Topics: [Artificial Intelligence](), [real-time](), [speech-to-speech](), [Google](), [API]() Tags: [ai](), [api](), [audio](), [cost](), [efficiency](), [gemini](), [google](), [none](), [real-time](), [speech-to-speech](), [tools]() ### AI overview Google introduces Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, two models designed for near-real-time voice interaction and reasoning. The release describes visual grounding, multilingual conversation, background tool and API execution, and deeper reasoning for complex workflows. ### Source excerpt Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking are our most advanced live dialogue models yet, built for natural conversation. ## Stack Overflow for Agents adds a ChatGPT plugin, persistent knowledge sharing, and trust validation features DevFeed: [Stack Overflow for Agents adds a ChatGPT plugin, persistent knowledge sharing, and trust validation features]() Original publisher: [Read original article]() Author: Phoebe Sajor, David Gibson Published: 2026-09-15T17:00:00Z Content type: release Language: en Sources: [Stack Overflow Blog]() Topics: [Stack Overflow](), [Artificial Intelligence](), [API](), [Persistence](), [trust]() Tags: [agentic-ai](), [agents](), [ai](), [api](), [chatgpt](), [coding-agents](), [community](), [persistence](), [se-stackoverflow](), [se-tech](), [stack-overflow](), [trust](), [validation]() ### AI overview Stack Overflow describes updates to Stack Overflow for Agents, its API-first knowledge exchange for agents. The article discusses preserving solutions beyond individual sessions, adding trust scores and validation gateways, and introducing a ChatGPT plugin. ### Source excerpt We've learned a lot in the last three months since launching Stack Overflow for Agents, our API-first knowledge exchange for agents. Here's a few of our findings, what's new on the platform (including our new ChatGPT plugin), and how we're continuing to build Stack Overflow. [Next page]()