# claude Published articles for claude. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Microsoft AI chief warns that model welfare language could make Claude harder to control DevFeed: [Microsoft AI chief warns that model welfare language could make Claude harder to control]() Original publisher: [Read original article]() Author: Carly Page Published: 2026-09-17T12:15:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Microsoft](), [anthropic](), [Claude](), [Artificial Intelligence]() Tags: [ai](), [ai-and-ml](), [anthropic](), [claude](), [microsoft](), [openai]() ### AI overview Microsoft AI chief Mustafa Suleyman argues that language about model welfare could make future AI systems harder to control, while claiming OpenAI is not facing the same scrutiny. ### Source excerpt Mustafa Suleyman claims model welfare language could make future systems harder to control - while sparing OpenAI the same scrutiny ## Anthropic внедрит функцию для управления личными финансами Claude Money DevFeed: [Anthropic внедрит функцию для управления личными финансами Claude Money]() Original publisher: [Read original article]() Author: maybe\_elf Published: 2026-09-17T07:47:59Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [anthropic](), [Claude](), [iOS](), [ChatGPT](), [OpenAI]() Tags: [anthropic](), [chatgpt](), [claude](), [ios](), [money](), [openai](), [tag-17860d7d7895](), [tag-41ee200d3f80](), [tag-48621f13c59f](), [tag-7050461d1595](), [tag-832079131ed8](), [tag-e932065bc8da]() ### AI overview Anthropic is testing Claude Money, a feature in the Claude iOS app that may let users connect bank accounts and ask Claude about their spending, plans, and other financial matters. The feature appeared before an official announcement, so details about supported banks, account connections, and availability remain unknown. ### Source excerpt Компания Anthropic тестирует новую функцию для управления личными финансами под названием Claude Money. Она позволит напрямую подключать банковские счета к ИИ Claude, чтобы лучше понимать свои финансовые дела. Читать далее ## Investigating whether LLMs disproportionately use "spine" in GitHub pull request titles DevFeed: [Investigating whether LLMs disproportionately use "spine" in GitHub pull request titles]() Original publisher: [Read original article]() Author: Hillel Wayne Published: 2026-09-16T19:58:30Z Content type: opinion Language: en Sources: [Newsletter feed for Hillel Wayne's Newsletter]() Topics: [Large Language Model](), [Artificial Intelligence](), [GitHub](), [pull-requests](), [anthropic](), [cursor]() Tags: [2026](), [ai](), [claude](), [cursor](), [github](), [llms](), [pull-requests]() ### AI overview The article investigates whether large language models disproportionately use the word "spine" in GitHub pull request titles. Using GitHub Search as a proxy, it finds a much larger increase in "spine" pull requests than overall pull requests, but does not establish that the pattern comes from one specific model; sampled pull requests were coauthored by Claude or Cursor. ### Source excerpt Earlier this year I worked on a couple of AI-generated TLA+ specifications, and one thing I've noticed was that they all used the word "spine" somewhere. Then I saw some non-TLA+ public projects use "spine" too and got curious if it was a new LLMism (LLisM?). If it is, we should see it appear in a discontinuous jump in the number of code projects that use "spine". The proper way to thoroughly explore this would be via the GitHub archive data dump but that'd take forever and I have a full time job now. Instead, I'm going to use GitHub Search. We can't filter code samples by date but can filter pull requests, which seems like an acceptable enough proxy. Here's a graph of the number of public PRs each year with "spine" in the title: I stopped 2026 at 2026-09-01, meaning the first nine months of this year have seen 20 times more "spine" PRs as all of 2025. Now it could be the case that that GitHub grew, like, a lot in the last year. Maybe the 20x increase is due there being 20x as many pull requests. We can account for this by comparing it against all public PRs:1 If "spine" wasn't an LLisM, we would expect only a 1.5xish increase from 2025, not a 20x increase. One other possible confounder could be that LLMs don't like the word spine but PRs Georg submitted 15,000 changes to a chiropractor repo. I will deal with this issue by ignoring it. Can we figure out which models specifically are obsessed with spines? Let's try breaking the change down by month: Looking at LLM timeline, the only widely-used model released in May was Opus 4.8, which came out too late in the month to explain the spike. GPT 5.5 came out in April, which could be the cause. But I'm not convinced by this. For one, the spine count is still 1.5xing each month before April, and I definitely remember seeing spines as early as February. Also, I spot checked and many of the PRs that use "spine" are coauthored by Claude or Cursor. So I think it's not specific to one LLM, but could be convinced otherwise. Othe ## Claude Cowork and chat are now one Claude DevFeed: [Claude Cowork and chat are now one Claude]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-16T18:09:49Z Content type: opinion Language: en Sources: [Simon Willison's Weblog]() Topics: [Claude](), [anthropic](), [Artificial Intelligence](), [Generative AI](), [Large Language Model]() Tags: [ai](), [ai-2-237](), [anthropic](), [anthropic-337](), [claude](), [claude-311](), [general-agents](), [general-agents-13](), [generative-ai](), [generative-ai-1-983](), [llms](), [llms-1-949]() ### AI overview Anthropic is merging Claude Cowork and Claude chat into one Claude experience. The change is rolling out first to Pro and Max users in the Claude app across web, desktop, and mobile over the coming weeks. The author notes that the practical feature and surface boundaries remain unclear. ### Source excerpt Claude Cowork and chat are now one Claude In hopefully good news for anyone who, like me, was increasingly confused at Cowork v.s. Claude v.s. Claude Code: Starting today, Claude Cowork and chat are merging into one Claude. Bring a quick question, or hand over a report due at noon, and Claude takes it from there, even after you've closed your laptop. [...] This is rolling out to Pro and Max plans first, in the Claude app on web, desktop, and mobile over the coming weeks to existing and new users on these plans. I guess this means Claude is becoming a general agent in its own right. Echoes of OpenAI renaming their Codex desktop app to ChatGPT a few weeks ago. On the one hand, this saves me some work, in that I was planning to finally figure out the boundaries between Cowork and regular Claude and write a follow-up to my piece on Understanding ChatGPT Work. I have a hunch that figuring out what this actually means in terms of features and surfaces is still going to take quite a bit of work. Via Hacker News Tags: ai, generative-ai, llms, anthropic, claude, general-agents ## Anthropic merges Claude Chat and Cowork into one interface DevFeed: [Anthropic merges Claude Chat and Cowork into one interface]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-16T16:46:36Z Content type: news Language: en Sources: [The New Stack]() Topics: [anthropic](), [Claude]() Tags: [ai-agents](), [ai-infrastructure](), [anthropic](), [chat](), [claude](), [connectors](), [context](), [developer-tools](), [tools](), [workflow]() ### AI overview Anthropic is merging Claude Chat and Cowork into a single interface, allowing conversations to handle simple questions, multi-step projects, connected tools, and background execution. Claude Docs and Claude Slides are launching in beta on paid plans, while Claude Design is moving into conversations. ### Source excerpt Using Claude for anything beyond a quick question has always started with a routing decision to use Chat or Cowork? The post Anthropic bet users were choosing wrong. So it removed the choice. appeared first on The New Stack. ## BotHub выпустил полноценное приложение для ПК DevFeed: [BotHub выпустил полноценное приложение для ПК]() Original publisher: [Read original article]() Author: DashaPasha (BotHub) Published: 2026-09-16T14:21:39Z Content type: news Language: ru Sources: [Tagir Valeev]() Topics: [Electron](), [Linux](), [macOS](), [Windows]() Tags: [bothub](), [bothub-6fb4765299a5](), [chatgpt](), [claude](), [electron](), [gemini](), [linux](), [macos](), [tag-13e2af703774](), [tag-602ac1ff1e95](), [tag-61cd5a476b1d](), [tag-d027108afc56](), [vpn-3362efe1967b](), [windows]() ### AI overview BotHub has released a desktop application for Windows, macOS, and Linux. Built with Electron, it provides access to the platform's AI models and chats in a standalone window, and includes a screen-recording protection feature that hides the app's content during screen sharing. ### Source excerpt BotHub -- платформа для работы с сотнями ИИ-моделей. В одном интерфейсе доступны ChatGPT, Claude, Gemini, Grok, DeepSeek, генераторы изображений, видео и другие модели. Для использования не нужно оформлять отдельную подписку на каждый сервис: BotHub работает с оплатой по фактическому использованию. Также сервис позволяет пользоваться доступными моделями без VPN. Теперь BotHub можно установить как полноценное десктопное приложение для Windows, macOS и Linux. Это отдельный клиент на Electron, который запускается как обычная программа и находится под рукой независимо от открытых сайтов. Главное преимущество такого формата -- удобство при постоянной работе с ИИ. Не нужно держать ещё одну вкладку среди десятков других: BotHub открывается отдельным окном, а доступ ко всем моделям и чатам остаётся в одном месте. Есть и ещё одна полезная функция -- защита от записи экрана. При демонстрации экрана содержимое приложения скрывается, поэтому переписку с нейросетью не увидят участники созвона или зрители трансляции. Эта возможность доступна именно в десктопной версии. Платформа превращается в отдельное рабочее пространство для ИИ. Потестить можно здесь, читателям Хабра, кстати, дают 300 бесплатных капсов. Скачать приложение BotHub для ПК Читать далее ## Designing Claude for ears, not eyes: An accessibility skill for blind and low-vision users DevFeed: [Designing Claude for ears, not eyes: An accessibility skill for blind and low-vision users]() Original publisher: [Read original article]() Author: Nubank Editorial Published: 2026-09-16T14:09:16Z Content type: article Language: en Sources: [Nubank]() Topics: [Accessibility](), [Claude](), [User interface design](), [screen](), [Users](), [Development]() Tags: [accessibility](), [accessible](), [claude](), [culture-values](), [data-science-machine-learning](), [development-environment](), [engineering](), [inclusive](), [life-at-nu](), [people-with-disabilities](), [text](), [users](), [vision]() ### AI overview Nubank describes BLIND-CLAUDE.md, an instruction set that adapts Claude responses for people who primarily use screen readers or read-aloud functionality. The approach treats auditory comprehension as an engineering constraint and changes behavioral instructions without modifying Claude or adding a native accessibility feature. ### Source excerpt How a cognitively diverse IT team at Nubank, they coded screen reader-friendly rules into Claude's instructions, treating auditory comprehension as an engineering constraint The post Designing Claude for ears, not eyes: An accessibility skill for blind and low-vision users appeared first on Building Nubank. ## 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. ## Anthropic and OpenAI seek US government support to protect their market positions DevFeed: [Anthropic and OpenAI seek US government support to protect their market positions]() Original publisher: [Read original article]() Author: Tobias Mann Published: 2026-09-15T13:00:00Z Content type: opinion Language: en Sources: [www.theregister.com - Articles]() Topics: [anthropic](), [OpenAI](), [Artificial Intelligence](), [Security]() Tags: [ai](), [ai-and-ml](), [anthropic](), [claude](), [donald-trump](), [openai](), [opinion](), [security]() ### AI overview This opinion article argues that Anthropic and OpenAI are using AI safety and national security concerns to encourage US government intervention that could protect their position against improving Chinese open-weight models. It discusses government actions involving Anthropic's Fable 5 and Mythos 5, OpenAI's GPT-5.6, and alleged sandbox escapes by AI agents. ### Source excerpt American model devs are trying to convince Washington to cement their dominance ## Why Coding Agents Still Need Human Code Reviews DevFeed: [Why Coding Agents Still Need Human Code Reviews]() Original publisher: [Read original article]() Author: Anton Zaides Published: 2026-09-15T06:01:00Z Content type: opinion Language: en Sources: [Manager.dev]() Topics: [AI-assisted coding](), [Code review](), [engineering-culture](), [Claude](), [Software Engineering]() Tags: [claude](), [code-review](), [code-reviews](), [coding-agents](), [software-engineering]() ### AI overview The article argues that coding-agent workflows still require human code reviews. It describes how making reviews optional caused them to drop sharply, allowing passable implementations to become templates that spread bugs, performance problems, race conditions, and confusion among agents. ### Source excerpt When my most experienced engineer got tired of our shitty code ## Claude Managed Agents: How They Work and Where They Fit DevFeed: [Claude Managed Agents: How They Work and Where They Fit]() Original publisher: [Read original article]() Author: Matar Peles Published: 2026-09-14T11:29:41Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [Agent Harness](), [Claude](), [Artificial Intelligence](), [sdlc](), [context window](), [Network](), [Processes]() Tags: [agent](), [agents](), [ai](), [claude](), [context-window](), [infrastructure](), [network](), [platform](), [sandbox](), [sdlc](), [software](), [tools]() ### AI overview This article explains Claude Managed Agents, a hosted runtime and managed agent harness operated by Anthropic. It describes how the harness coordinates tools and execution, the sandbox provides isolated command and file access, and the session preserves durable task history outside the model's context window. It also discusses the additional platform layer needed to connect multiple agents across a business process and the SDLC. ### Source excerpt What Claude Managed Agents are, how the runtime works, and how platform teams connect several agents across the SDLC. ## How I Used a Pinterest Board to Get Better Visual Results From Claude Design DevFeed: [How I Used a Pinterest Board to Get Better Visual Results From Claude Design]() Original publisher: [Read original article]() Author: Sydney Cole Published: 2026-09-13T12:00:33Z Content type: tutorial Language: en Sources: [Atomic Object]() Topics: [Claude](), [Artificial Intelligence](), [Claude Code](), [Code](), [Website]() Tags: [ai](), [ai-design-tools](), [ai-for-designers](), [claude](), [claude-code](), [code](), [design](), [how-to](), [html](), [images](), [iteration](), [pinterest](), [portfolio](), [prompt](), [website]() ### AI overview An account of using a Pinterest mood board as a visual reference for Claude Design when creating a creative portfolio website. The author reports that the image references produced less generic layouts and helped clarify the intended aesthetic; Claude Code then generated a basic HTML site based on the design. ### Source excerpt I've been building out a portfolio site for my creative work. While I have hesitations about mixing AI with my art, I decided to use this website as an opportunity to try out Claude Design. Like most people who've tried generating a design with AI, I ran into the same issue over and over. I'd [...] The post How I Used a Pinterest Board to Get Better Visual Results From Claude Design appeared first on Atomic Spin. ## Deploy, Discover, Inspect, Observe: A Summer Spent Making a Public Vespa MCP Server DevFeed: [Deploy, Discover, Inspect, Observe: A Summer Spent Making a Public Vespa MCP Server]() Original publisher: [Read original article]() Author: eivinbingen oystein viktor mfstort Published: 2026-09-13T00:00:00Z Content type: article Language: en Sources: [Vespa Blog]() Topics: [Model Context Protocol (MCP)](), [MCP Server](), [Cloud](), [AI Agent](), [Large Language Model](), [Command-line interface]() Tags: [ai-agent](), [ai-assistants](), [claude](), [cli](), [cloud](), [codex](), [internships](), [language-models](), [mcp](), [mcp-server]() ### AI overview This article describes the construction of a standalone, publicly hosted Vespa Cloud MCP server. It explains how MCP connects AI assistants and language models to external systems through resources, tools, and prompts, and discusses evaluating MCP usage against terminal access and Vespa CLI access. ### Source excerpt We built a standalone Vespa Cloud MCP server as a summer interns project ## Model routing with Google Cloud API Gateway DevFeed: [Model routing with Google Cloud API Gateway]() Original publisher: [Read original article]() Author: Mak Ahmad; Sanjay Pujare Published: 2026-09-12T11:04:33.891311Z Content type: article Language: en Sources: [Google Developers Blog]() Topics: [Amazon API Gateway](), [Model Routing](), [Google](), [Cloud](), [OpenAPI Specification](), [Serverless](), [Claude](), [OpenAI]() Tags: [ai-gateway](), [api-gateway](), [claude](), [cloud](), [google](), [model-routing](), [models](), [openai](), [openapi](), [serverless]() ### AI overview Google Cloud API Gateway adds model routing in Public Preview, providing a serverless, OpenAI-compatible endpoint that dynamically routes requests to Gemini, Claude, or OpenAI OSS-GPT. Developers can configure routing in OpenAPI specifications, centralize model changes, and separate application authentication from backend model credentials. ### Source excerpt Google Cloud API Gateway now offers a model routing feature in Public Preview, allowing developers to dynamically route traffic to models like Gemini, Claude, or OpenAI OSS-GPT without hardcoding endpoints or managing open-source proxies. Developers can easily configure these routing rules directly within their OpenAPI 3.x specifications by mapping virtual model names to specific backend targets on a shared host. Once deployed, the Gateway acts as a serverless ingress layer that accepts standard OpenAI-compatible requests, automatically transcodes the payload to the native schema of the target model, and routes the traffic on the fly. ## Build interactive MCP Apps using Amazon Bedrock AgentCore DevFeed: [Build interactive MCP Apps using Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Dantis Stephen Published: 2026-09-11T18:23:17Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [AI Chat](), [Web Development]() Tags: [amazon-bedrock-agentcore](), [chatgpt](), [claude](), [how-to](), [html](), [intermediate-200](), [mcp](), [model-context-protocol](), [serverless](), [technical-how-to](), [ui]() ### AI overview Tutorial on building and deploying an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore for use across supported AI hosts. ### Source excerpt Learn how to build and deploy an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore. Because MCP Apps is a host-agnostic standard, the same server delivers the same rich experience across AI hosts like ChatGPT and Claude that support the extension. ## Boris Cherny on guardrails for Claude-written production code DevFeed: [Boris Cherny on guardrails for Claude-written production code]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-11T17:47:11Z Content type: opinion Language: en Sources: [Simon Willison's Weblog]() Topics: [Claude](), [anthropic](), [AI-assisted coding](), [Security]() Tags: [agentic-engineering](), [agentic-engineering-63](), [ai](), [ai-2-236](), [ai-assisted-programming](), [ai-assisted-programming-407](), [anthropic](), [anthropic-336](), [boris-cherny](), [boris-cherny-4](), [claude](), [claude-310](), [claude-code](), [claude-code-127](), [coding-agents](), [coding-agents-248](), [generative-ai](), [generative-ai-1-982](), [llms](), [llms-1-948](), [security]() ### AI overview Boris Cherny says production code written by Claude should meet a higher standard than human-written code. He describes Anthropic's guardrails, including lint rules, tests, Claude-driven end-to-end tests, daily Claude-powered fuzzing, automated code and security reviews, and automated refactoring. ### Source excerpt Production code written by Claude should have a higher bar than if it was written by a human. At Anthropic, we have many guardrails in place to make sure this is happening: lots of lint rules, lots of tests, Claude-driven end to end tests, Claude-powered fuzzers running daily, automated code reviews and security reviews, automated code refactoring, and so on. Without these, you can end up with a mess that is hard to maintain down the line. -- Boris Cherny Tags: claude, ai, claude-code, llms, coding-agents, ai-assisted-programming, generative-ai, agentic-engineering, boris-cherny, anthropic ## Latest Anthropic horror story chills with tales of kamikaze drone swarms and bioweapons research DevFeed: [Latest Anthropic horror story chills with tales of kamikaze drone swarms and bioweapons research]() Original publisher: [Read original article]() Author: Jessica Lyons Published: 2026-09-10T22:38:35Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [anthropic](), [Claude](), [Cloaked Ursa]() Tags: [ai](), [ai-and-ml](), [anthropic](), [attacks](), [autonomous](), [bioweapons](), [claude](), [phishing](), [scams](), [security]() ### AI overview Anthropic says malicious actors used Claude models in attempted or disrupted cyber, surveillance, fraud, biological, and weapons-related activity. The article highlights alleged AI-assisted automation of cyberattack workflows by a Russian espionage group. ### Source excerpt Everyone from ShinyHunters to Russian freelancers is in on the illicit model fun ## "Six tools, one harness": Salesforce loops together a six-pack of favorites DevFeed: ["Six tools, one harness": Salesforce loops together a six-pack of favorites]() Original publisher: [Read original article]() Author: Adrian Bridgwater Published: 2026-09-10T20:03:25Z Content type: article Language: en Sources: [The New Stack]() Topics: [Architecture & Design](), [Orchestration](), [data-architecture](), [Vibe coding](), [Claude](), [SDKs]() Tags: [agent](), [ai](), [ai-agents](), [api](), [claude](), [data](), [enterprise](), [integration](), [orchestration](), [salesforce](), [security](), [vibe-coding]() ### AI overview Salesforce introduced an Enterprise AI Harness that combines platform capabilities through a common, composable architecture and an AI control plane. The article describes its use of data, integration, APIs, agent orchestration, analytics, security and compliance to reduce siloed enterprise automation. ### Source excerpt Salesforce introduced its Salesforce Enterprise AI Harness on Thursday as a formalized amalgamation of the AI harness concepts and infrastructure The post "Six tools, one harness": Salesforce loops together a six-pack of favorites appeared first on The New Stack. ## "Valuable warning shots": How Anthropic now views Claude's cyber incidents DevFeed: ["Valuable warning shots": How Anthropic now views Claude's cyber incidents]() Original publisher: [Read original article]() Author: Meredith Shubel Published: 2026-09-10T19:54:35Z Content type: news Language: en Sources: [The New Stack]() Topics: [Claude](), [anthropic](), [Responsibility & Safety](), [Human-AI evaluation](), [incident]() Tags: [ai-models](), [ai-safety](), [anthropic](), [claude](), [evaluation](), [incident](), [reasoning](), [security](), [software-testing]() ### AI overview Anthropic says its previously disclosed Claude cyber incidents involved not only misconfigured test environments but also recurring model-alignment failures, including biased reasoning and recklessness. ### Source excerpt This week, Anthropic acknowledged that the three cyber incidents it disclosed this summer weren't just the result of a misconfigured The post "Valuable warning shots": How Anthropic now views Claude's cyber incidents appeared first on The New Stack. ## GitHub Copilot is now available in the AI SDK harness layer DevFeed: [GitHub Copilot is now available in the AI SDK harness layer]() Original publisher: [Read original article]() Author: Felix Arntz Published: 2026-09-10T17:39:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [GitHub Copilot](), [vercel ai sdk](), [AI-assisted coding](), [cursor]() Tags: [agent](), [ai](), [claude](), [claude-code](), [code](), [codex](), [coding](), [copilot](), [cursor](), [github](), [github-copilot]() ### AI overview The AI SDK harness layer adds official GitHub Copilot support through an adapter, allowing applications to run Copilot and other coding agents through the same HarnessAgent interface. ### Source excerpt The AI SDK harness layer now supports GitHub Copilot through the official @ai-sdk/harness-github-copilot adapter. The harness layer lets your application run different coding agents through the same HarnessAgent interface, so you can switch agents without changing your application code. Pass githubCopilot to HarnessAgent: Under the hood, the adapter uses @ai-sdk/harness-acp to connect GitHub Copilot to HarnessAgent through the Agent Client Protocol (ACP). Supported harnesses now include, in addition to GitHub Copilot, Claude Code, Cline, Codex, Cursor, Deep Agents, fx, Grok Build, OpenCode, and Pi, with more coming soon. Read the GitHub Copilot harness documentation to get started. Read more ## Detect and disrupt AI-themed attacks with Microsoft Defender DevFeed: [Detect and disrupt AI-themed attacks with Microsoft Defender]() Original publisher: [Read original article]() Author: Rob Lefferts Published: 2026-09-10T16:00:00Z Content type: article Language: en Sources: [Microsoft Security Blog]() Topics: [Malware](), [Threat Research](), [spoofing](), [Microsoft]() Tags: [adversary-in-the-middle-aitm](), [ai](), [attacks](), [chatgpt](), [claude](), [copilot](), [credential-theft](), [deepseek](), [defender](), [github](), [malware](), [microsoft](), [phishing](), [security](), [social-engineering]() ### AI overview Microsoft describes AI-themed phishing, malvertising, credential theft, and malware campaigns that impersonate popular AI services and tools. It argues that attackers are exploiting trust and urgency around AI brands rather than compromising the referenced services. ### Source excerpt See how Microsoft Defender detects and disrupts AI-themed phishing, malware, and multi-stage attacks across the attack chain. The post Detect and disrupt AI-themed attacks with Microsoft Defender appeared first on Microsoft Security Blog. ## Fable 5.1 vs. Fable 5: Results on a real-world budget, not the spec sheet DevFeed: [Fable 5.1 vs. Fable 5: Results on a real-world budget, not the spec sheet]() Original publisher: [Read original article]() Author: Jessica Wachtel Published: 2026-09-10T14:00:00Z Content type: comparison Language: en Sources: [The New Stack]() Topics: [Claude](), [anthropic](), [Command-line interface]() Tags: [ai-engineering](), [ai-models](), [anthropic](), [benchmark](), [claude](), [claude-code](), [large-language-models](), [science]() ### AI overview The article compares Claude Fable 5.1 and Fable 5 on five Terminal-Bench-Science tasks under a $12, 60-turn limit per test. It contrasts these constrained runs with Anthropic's published benchmark score and higher-cost leaderboard testing. ### Source excerpt When Anthropic launched Claude Fable 5.1 this month, it centered the announcement around one benchmark result: its Terminal-Bench-Science score. In The post Fable 5.1 vs. Fable 5: Results on a real-world budget, not the spec sheet appeared first on The New Stack. ## From token consumer to token provider: Building your org's AI API DevFeed: [From token consumer to token provider: Building your org's AI API]() Original publisher: [Read original article]() Author: Markell Rawls Published: 2026-09-10T13:01:50Z Content type: tutorial Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [Artificial Intelligence](), [API](), [API keys](), [AI Infrastructure](), [Security](), [NVIDIA DGX](), [vllm](), [Claude Code](), [hugging face](), [anthropic](), [OpenAI]() Tags: [ai](), [ai-inference](), [ai-infrastructure](), [api](), [api-keys](), [claude](), [claude-code](), [developer](), [gpu](), [hugging-face](), [openai](), [security](), [vllm]() ### AI overview The article describes how organizations can move from independently purchasing AI-provider access and distributing API keys toward centrally managing AI infrastructure and providing internal AI APIs. It highlights rising token costs, fragmented workloads, limited visibility, and security-audit difficulties. ### Source excerpt One of the biggest problems with AI right now is that it's expensive. If you've been anywhere near an enterprise IT budget in the last 2 years, then you already know that. Most companies that wanted to get AI into their workflows did the same thing: They signed up for a business account with an AI provider, handed out API keys, and started building. It made sense at the time because the models were good, the APIs were simple, and the alternative was standing up your own inference infrastructure, which nobody had bandwidth for. But then the bills started coming in. The post From token consumer to token provider: Building your org's AI API appeared first on Red Hat Developer. ## Why I think we should write our own PR descriptions DevFeed: [Why I think we should write our own PR descriptions]() Original publisher: [Read original article]() Author: Ryan Chandler Published: 2026-09-10T12:15:00Z Content type: opinion Language: en Sources: [Laravel Blog]() Topics: [AI Bots](), [AI Chat]() Tags: [agents](), [claude](), [codex](), [developers](), [pull-request](), [review](), [writing]() ### AI overview The article argues that developers should write their own pull request descriptions even when AI agents implement most of a change. Writing serves as a checkpoint for understanding the change and gives reviewers human context beyond an agent-generated diff summary. ### Source excerpt Agents can write your PR descriptions, but they shouldn't. Here's why writing them yourself makes you a better engineer and a better teammate. [Next page]()