# Claude Claude is Anthropic's AI platform and family of frontier models, available through the Messages API for building and customizing applications. 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 ## 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. ## 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. ## 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. ## 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 ## "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. ## 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. ## Co-Create: Building GitLab with our users DevFeed: [Co-Create: Building GitLab with our users]() Original publisher: [Read original article]() Author: Isa Huerga Published: 2026-09-10T00:00:00Z Content type: article Language: en Sources: [GitLab]() Topics: [GitLab](), [CI/CD](), [Scala](), [Claude](), [Application Security](), [Cloud APIs]() Tags: [api](), [ci-cd](), [co-created](), [community](), [contributors](), [duo](), [engineering](), [open-source](), [rest-api](), [scala](), [security]() ### AI overview GitLab users collaborated through the Co-Create program on product improvements delivered in the first half of 2026, including API extensions, CI/CD capabilities, Scala support for AI-powered code understanding, security controls, and integration flexibility. ### Source excerpt GitLab users bring firsthand experience of the workflows they want to improve. Through our Co-Create program, they collaborate directly with us to design, build, and deliver product improvements that benefit more teams. In the first half of 2026, our users helped us extend APIs, add CI/CD capabilities, expand language support for AI-powered code understanding, strengthen security controls, increase the flexibility of integrations, and make GitLab easier to use and understand. Co-Create gives customers a direct path from a real-world challenge to a product improvement. Customers collaborate with us on the problem and solution, and help deliver the change. Unlike a feedback-only model, this puts real workflow context into the product development process. It creates a shorter path from need to value while helping us validate improvements in real conditions and extend their benefits to more GitLab users. "Over ten years ago, we set out to build code.siemens.com, our internal coding platform based on GitLab, which today serves close to 100,000 people. We've run and scaled the platform with a tiny team, guided by a 'for developers, from developers' philosophy. We co-created hundreds of features such as x509/gpg signed commits, protected container/packages, and project and social features such as follow users, allowing us to strengthen the security and collaboration culture at the scale of Siemens." -- Roger Meier, Distinguished Engineer, Siemens From a specific need to a shared improvement Some of the best product improvements start with a specific, real-world need. GitLab contributors helped us address the following needs: Making Scala codebases understandable to Orbit and GitLab Duo Giving security administrators a way to enforce Secret Push Protection across an entire instance Letting high-throughput teams configure merge train pipeline limits Showing the platforms supported by multi-architecture images Providing screen reader users with more context on documentation pa ## Claude performed best on a new benchmark for 'agents that build agents'. But it passed fewer than a quarter of the tests. DevFeed: [Claude performed best on a new benchmark for 'agents that build agents'. But it passed fewer than a quarter of the tests.]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-09T20:14:09Z Content type: news Language: en Sources: [The New Stack]() Topics: [Claude](), [coding](), [anthropic](), [Software]() Tags: [agents](), [ai](), [ai-agents](), [ai-engineering](), [ai-models](), [benchmark](), [claude](), [claude-code](), [codex](), [coding](), [large-language-models](), [leaderboard](), [testing]() ### AI overview Hyper-𝜏-bench evaluates whether AI developer agents can build customer-service agents from simulated business materials. Claude Opus 5 in Claude Code led the six tested configurations at 23.9%, while none exceeded 25%. ### Source excerpt AI models now power all manner of agents, from coding assistants that write and debug software to customer service systems The post Claude performed best on a new benchmark for 'agents that build agents'. But it passed fewer than a quarter of the tests. appeared first on The New Stack. ## How Heurist Finance built an AI-native investment workbench on Amazon Bedrock AgentCore DevFeed: [How Heurist Finance built an AI-native investment workbench on Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: JW Wang Published: 2026-09-09T18:11:12Z Content type: article Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock](), [Claude](), [Orchestration](), [tracing]() Tags: [advanced-300](), [agent](), [ai](), [amazon-bedrock-agentcore](), [anthropic-claude](), [customer-solutions](), [identity](), [memory](), [observability](), [sandbox](), [tracing]() ### AI overview Heurist Finance uses Amazon Bedrock AgentCore to run a conversational investment workbench that accesses premium data per query and produces auditable, personalized research responses. ### Source excerpt Learn how Heurist built Heurist Finance, a conversational AI investment workbench, on Amazon Bedrock AgentCore. This customer story shows how AgentCore payments, Identity, Memory, Code Interpreter, and Observability let a small team buy premium market data per query, isolate analysis in a sandbox, and keep every action auditable. ## Using 10 Claude Skills to Run an Online Content Website DevFeed: [Using 10 Claude Skills to Run an Online Content Website]() Original publisher: [Read original article]() Author: iHateReading Published: 2026-09-09T10:43:29Z Content type: opinion Language: en Sources: [iHateReading]() Topics: [Claude](), [Website]() Tags: [ai](), [backend](), [blockchain](), [claude](), [claude-skills](), [coding](), [development](), [founderos](), [founderos-claude-claude-skills-gpt-ai](), [frontend](), [gpt](), [i-gave-claude-10-plus-saas-growth-skills-and-let-it-run-my-own-platform](), [ihatereading](), [javascript](), [node-js](), [product](), [programming](), [react](), [skills](), [typescript](), [web-development]() ### AI overview The article describes using 10 Claude Skills to run an online content website. ### Source excerpt Run entire online content website using 10 Claude Skills ## Evaluating Model Cost and Quality for Developer Workflows DevFeed: [Evaluating Model Cost and Quality for Developer Workflows]() Original publisher: [Read original article]() Author: Waldek Mastykarz Published: 2026-09-09T09:14:04Z Content type: comparison Language: en Sources: [Developer Blogs]() Topics: [Claude](), [GitHub Copilot](), [Visual Studio Code](), [Testing](), [upgrade](), [Code]() Tags: [agent-experience](), [ai](), [ax](), [claude](), [comparison](), [cost](), [evaluation](), [github-copilot](), [model](), [testing](), [upgrade](), [visual-studio-code](), [windows]() ### AI overview This article compares GPT-6 Astra with Claude Sonnet 4.6 across code upgrade scenarios in GitHub Copilot Chat for Visual Studio Code on Windows. It argues that teams should evaluate models on their own repositories and workflows because higher cost did not consistently produce better results in the reported tests. ### Source excerpt The smartest model can cost five times more and deliver the same result, or even a worse one. See how evaluating your own work helps you get more value from your agent budget. The post Your work might not need the smartest model appeared first on Microsoft for Developers. ## Spring Tools 5.4.0 released DevFeed: [Spring Tools 5.4.0 released]() Original publisher: [Read original article]() Author: martinlippert Published: 2026-09-09T00:00:00Z Content type: release Language: en Sources: [Spring]() Topics: [releases](), [Claude](), [Model Context Protocol](), [Visual Studio Code]() Tags: [batch](), [boot](), [claude](), [claude-code](), [cloud](), [event-driven](), [java](), [mcp](), [microservices](), [performance](), [reactive](), [release](), [release-notes](), [serverless](), [spring](), [tools](), [updates](), [validation](), [web-applications]() ### AI overview Spring Tools 5.4.0 has been released for several development environments, with new validations and quick fixes, Claude Code and MCP enhancements, and stability and performance improvements. ### Source excerpt On behalf of the team and everyone who has contributed, I am pleased to announce the 5.4.0 release of the Spring Tools for Visual Studio Code, Cursor, Eclipse, Theia - and Claude Code. Hightlights New Validations & Quick Fixes: Added validations and quick fixes to convert to @ApplicationModuleListener, @SpringJUnitConfig, @RestController, and specific @Scope annotations Claude Code / MCP Enhancements: Enabled the Claude Code plugin to render a project's logical structure Stability & Performance: Significant speedups around various quick fixes and repository-based version validation + improved reliability while indexing source code Updates to the Spring Tools for Eclipse distribution updated to the latest Eclipse 2026-09 release (new and noteworthy) Detailed changes can be found in the release notes: https://github.com/spring-projects/spring-tools/releases/tag/5.4.0.RELEASE Downloads To download the distribution for Eclipse and find links to the marketplace entries for Visual Studio Code, Cursor, and Theia, please go visit: Spring Tools: https://spring.io/tools/ Next up is the 5.5.0 release, currently scheduled for mid December 2026. ## Some thoughts on the Navier-Stokes Millennium Prize Problem DevFeed: [Some thoughts on the Navier-Stokes Millennium Prize Problem]() Original publisher: [Read original article]() Author: Simon Willison Published: 2026-09-08T23:55:12Z Content type: opinion Language: en Sources: [Simon Willison](), [Simon Willison's Weblog]() Topics: [OpenAI](), [Mathematics](), [Claude](), [codex](), [Math and Logic](), [Lean]() Tags: [agents](), [ai](), [ai-2-235](), [ai-ethics](), [ai-ethics-342](), [claude](), [codex](), [generative-ai](), [generative-ai-1-981](), [llms](), [llms-1-947](), [mathematics](), [mathematics-22](), [openai](), [openai-463](), [paper](), [training-data](), [training-data-68]() ### AI overview This commentary examines OpenAI's reported resolution of the Navier-Stokes existence and smoothness problem with an unreleased model, alongside accusations that the effort may have drawn on information from related work by mathematicians using Claude and Codex. It also describes questions about timing, data access, authorship, and OpenAI's subsequent use of agents and Lean formalization. ### Source excerpt On the Navier-Stokes Millennium Prize Problem introduces an impressive result from OpenAI, who used an unreleased model to produce a resolution to the Navier-Stokes existence and smoothness problem, one of the seven Millennium Prize Problems that have been subject to a $1,000,000 prize since May 24th, 2000. The discovery is somewhat overshadowed by accusations of skulduggery from Tristan Buckmaster, an NYU mathematics professor who was collaborating on related problems with Levent Alpöge, an accomplished mathematician who currently works for Anthropic. Tristan's complaint accompanied a hastily published version of their own results. Here's the PDF describing what happened. The very short version is that Tristan and Levent worked on the problem for almost a year, making extensive use of Claude and Codex (mainly GPT-5.6 Sol), then had a breakthrough on August 15th. The mathematical rumour mill kicked into gear and Tristan and Levent heard that OpenAI had heard that Anthropic had resolved "a major open problem", so they reached out and learned that OpenAI had a team working on a related problem, with a similar approach. Quoting Tristan: I asked when the first prompt had been sent by them. This question was not answered directly by OpenAI for some time. Eventually it was agreed that it had been sent in the past few days, after information about our work had reached OpenAI. I asked whether the model had been trained on, or had access to, our sessions in Codex, into which we had been putting all our drafts for the whole of this project. I was told the model did not look up user data. I asked again, about training, and I did not get an answer. It gets more complicated from there. The OpenAI team offered to wait for Tristan to publish, or to have him author a paper about their result, but were clear that Levent would not be invited as a co-author due to OpenAI's competitive relationship with his employer. Here's how OpenAI described their work: On Tuesday, September 1, we h ## Claude Mythos 5 is coming to Tenable One, powering the new "Adversary View" DevFeed: [Claude Mythos 5 is coming to Tenable One, powering the new "Adversary View"]() Original publisher: [Read original article]() Author: Eric Doerr Published: 2026-09-08T17:21:00Z Content type: release Language: en Sources: [Tenable Blog]() Topics: [Claude](), [anthropic](), [vulnerability]() Tags: [agentic](), [ai](), [anthropic](), [claude](), [exposure-management](), [reasoning](), [security](), [vulnerability]() ### AI overview Tenable announces plans to integrate Claude Mythos 5 into Tenable One. Its planned Adversary View capability is intended to help security teams identify vulnerability chains, model attacker progression, and prioritize actions across exposure management. ### Source excerpt Tenable is bringing Anthropic's Claude Mythos 5 into our enterprise security offerings. Adding frontier adversarial reasoning to the Tenable One Exposure Management Platform will help customers better anticipate how attackers could breach their environments and stay ahead of AI-fueled risk. Tenable One Adversary View, the first innovation planned from this work, will debut in the coming weeks. Key takeaways Claude Mythos 5 is coming to Tenable One. In addition to using Claude Mythos 5 for research and evaluation, Tenable will now incorporate it within Tenable One, giving defenders access to frontier cyber reasoning to tackle complex exposure management challenges. Tenable One Adversary View is the first innovation we'll deliver to our customers. Adversary View will use Claude Mythos 5 to help security teams uncover hidden vulnerability chains, see their environments from an attacker's perspective, and identify the actions that can disrupt attacker progression. Adversary View is just the beginning. Combining Claude Mythos 5's advanced cyber reasoning with the breadth and depth of Tenable One sets up a new generation of AI-powered capabilities across exposure management. Bringing Claude Mythos 5 into Tenable One Security teams face more findings than they can possibly triage using conventional methods. Add cloud, operational technology (OT), shadow AI, and identity data to the attack surface, and the volume of signals keeps growing while the time to act keeps shrinking. Finding exposures is no longer the hardest part. The challenge is understanding which combinations of exposures create the greatest risk, how an attacker could exploit them, and what to fix first. While leveraging frontier models for improving security defenses is still relatively new, bringing those models into customer-facing products is at the leading edge. Today, we are sharing how Tenable is combining Claude Mythos 5 with the exposure intelligence in Tenable One. Mythos 5 provides frontier-scale a ## Migrating evilmartians.com from Gatsby to Astro in two weeks with Claude DevFeed: [Migrating evilmartians.com from Gatsby to Astro in two weeks with Claude]() Original publisher: [Read original article]() Author: Travis Turner (richardturner@evilmartians.com) Published: 2026-09-08T00:00:00Z Content type: tutorial Language: en Sources: [Evil Martians]() Topics: [Astro](), [gatsby](), [migration](), [Claude](), [Large Language Model](), [GraphQL](), [React](), [Security](), [build performance]() Tags: [ai](), [astro](), [build](), [claude](), [dx](), [graphql](), [javascript](), [migration](), [react](), [security](), [typescript]() ### AI overview Evil Martians describes migrating evilmartians.com from Gatsby to Astro in two weeks with Claude. The article outlines the site's Gatsby maintenance, security, and build-time costs, and discusses four bugs that could have shipped if the agent had operated without oversight. ### Source excerpt 367 posts, four years on Gatsby, and no dedicated team: here's how we moved evilmartians.com to Astro in two weeks with an LLM. ## AWS Weekly Roundup: Claude Fable 5.1 on AWS, Amazon Linux 2027 preview, AWS Certified AI Business Strategist, and more (September 7, 2026) DevFeed: [AWS Weekly Roundup: Claude Fable 5.1 on AWS, Amazon Linux 2027 preview, AWS Certified AI Business Strategist, and more (September 7, 2026)]() Original publisher: [Read original article]() Author: Channy Yun (윤석찬) Published: 2026-09-07T14:24:08Z Content type: news Language: en Sources: [AWS News Blog]() Topics: [Claude](), [Amazon Bedrock](), [anthropic](), [Amazon EC2](), [Operating system]() Tags: [amazon-bedrock](), [amazon-ec2](), [amazon-redshift](), [anthropic](), [aws](), [aws-lambda](), [aws-training-and-certification](), [claude](), [linux](), [news](), [security-identity-compliance](), [week-in-review]() ### AI overview AWS's weekly roundup announces Claude Fable 5.1 availability through Amazon Bedrock and Claude Platform on AWS, including retention and safety-review details for Covered Models. It also highlights the Amazon Linux 2027 public preview and EC2 R9g/R9gd memory-optimized instances. ### Source excerpt Last week, Claude Fable 5.1 became available on AWS. According to Anthropic, Claude Fable 5.1 delivers frontier intelligence for ambitious tasks across coding, scientific research, and enterprise workflows. Claude Fable 5.1 is built for long-running, high-stakes work that runs for hours and spans many applications. It can own more of a software project on its [...] ## Bring Claude and Cursor Coding Agents Into Your Port Catalog DevFeed: [Bring Claude and Cursor Coding Agents Into Your Port Catalog]() Original publisher: [Read original article]() Author: Sagi Keren Published: 2026-09-07T13:53:22Z Content type: article Language: en Sources: [Developer Experience & Platform Engineering Blog | Port]() Topics: [cursor](), [coding](), [Claude](), [AI-assisted coding](), [Orchestration](), [Automation]() Tags: [agents](), [ai](), [automation](), [claude](), [cloud](), [coding-agents](), [cursor](), [governance](), [workflows]() ### AI overview The article explains how Port integrates Claude and Cursor coding agents into a centralized catalog. It focuses on governance, ownership, auditing, workflow integration, and self-service creation through governed templates. ### Source excerpt Port catalogs, creates, and triggers Claude and Cursor coding agents, giving platform teams one governed registry for AI agents. [Next page]()