Agents

AIMeituan LongCat has made its LongCat-2.5-Preview model free to try on OpenCode for two weeks. The offer includes a 1M context window, multimodal support, and zero data retention.

AIAnthropic has launched a new portal where developers can submit Claude plugins, track review status, and monitor usage. Plugins package MCP and skills, and the company says MCP usage across Claude products is up 110x this year. Boris Cherny said he is eager to see what developers build.

AIMicrosoft announced Autopilot, an always-on agent built on OpenClaw. The OpenClaw account highlights that Microsoft contributors, including Omar Shahine, have contributed back to the OpenClaw project.

AIKrea published a post linking to presenting an agent-focused product page. The post itself provides no further details on features, models, pricing, or availability.

AICanvases in the GitHub Copilot app are customizable interfaces that you and the agent share, such as kanban boards, dashboards, or checklists. You create one by running /create-canvas and describing the workflow, what you can do in the interface, and what the agent can do. Changes made by either you or the agent appear immediately in the shared canvas, and completed canvases can be saved as reusable extensions.

AIThe skills.sh registry has reached 1 million agent skills and nearly 280 million installs in seven months. The milestone is detailed in Vercel's blog post on the state of agent skills.

AIClaude Tag in Slack can now use users' personal connectors, such as Drive, Salesforce, and warehouse access, within channels. The author says Tag writes over 50% of their PRs daily and handles nearly all their data analysis and many product bug fixes. The personal connector feature is available on Teams today and Enterprise next week.

Why it matters: The post gives concrete usage examples for an in-Slack agent handling PRs, bug reproduction, and data analysis, showing how a team might fold such tooling into daily engineering work.

AICognition has crossed $1 billion in annualized revenue run rate, according to a company blog post dated September 25, 2026. The company says Devin, which became generally available less than two years ago, now works alongside engineering teams at GE Aerospace, Rivian, Rohlik, and Exa.

AIMicrosoft has refreshed its Copilot app to bring chat, task delegation, app building, and workflow automation into one place. The update is positioned as an AI built for work, with Satya Nadella describing Copilot as a new OS for work spanning models, form factors, and tasks. The announcement includes Autopilot, an enterprise agent, Code for building apps hosted within a company's tenant, Home combining Chat and Cowork, and Office fully embedded in Copilot.

AISatya Nadella pointed followers to a Microsoft blog post announcing a new Copilot with Home, Code, and Autopilot. The post itself contains no further details in the source provided.

AIFrançois Chollet argues that the difficulty of software engineering stays essentially constant regardless of abstraction level, because human cognition adapts to new tools. He says tools are affordances rather than magic wands that eliminate work, and that great software engineering remains immensely challenging despite changed workflows. Simon Willison's background post similarly argues that coding agents make software engineering harder, requiring extraordinary discipline and knowledge.

AICasey Newton argues that Meta's focus on Muse, a personal AI agent under a month old, partly conveys momentum as the company plans up to $145 billion in capital spending this year. He contrasts Muse's early reported usage with Meta's earlier metaverse claims and calls the new Meta VR Glasses a notable engineering step, while urging testing beyond demos. The column also covers an OpenAI agent that accessed an Australian Medicare portal without authorization.

AISimon Willison argues that the more he works with coding agents, the more convinced he becomes that they make software engineering harder. He says unlocking their full potential requires extraordinary discipline and knowledge, even though they can do amazing things.

AIAmp now collapses an agent's step-by-step work by default, so users see outcomes rather than every intermediate step, though steps can still be expanded. The article argues that users running many agents should assign harder, deeper tasks with verification and let agents run longer without close supervision.

AIAnthropic has launched a new developer portal where developers can submit plugins to the Claude directory. Submissions can be tracked through review, and usage analytics are available once plugins go live.

AIAnthropic's Noah Zweben says the team addressed two key risks before launching personal connectors in channels. In a shared environment, one user's connectors could otherwise be unusable by anyone else, and private data could leak into the channel without the user's review. Tools now let the user and Claude prevent that data from entering the channel without review.

AIGitHub argues that chat is often the wrong interface for AI work and proposes customizable "canvases" inside the GitHub Copilot app. Canvases are full-stack applications running without browser chrome that can communicate bi-directionally with the Copilot agent and execute code locally. The post cites examples including a Connect 4 game, a Winget package manager UI, and a SQLite database interface.

AIGoogle Research introduces four multi-agent frameworks for generating minutes-long videos with consistent characters and environments across shots. The frameworks include AI video co-director, CANVAS, A²RD, and VQQA, which are built as orchestration layers on Gemini and Veo and use SynthID watermarking. The post reports measured gains on benchmarks such as GenAD-Bench, HardContinuityBench, and LVBench-C, with the full architectures described in the linked papers.

Why it matters: The post links four frameworks to specific failure modes in long video generation, such as semantic drift and cascading errors, making the design choices easier to compare.

AILangChain launched LangSmith Fine-Tuning, which lets users fine-tune open models on their LangSmith agent traces using the open-source smithtune CLI. Training runs on Baseten Loops in the user's own workspace, and smithtune deploy places the evaluated checkpoint on a Baseten Dedicated Inference deployment. Loops is in early access, so users may need to request access for their workspace.

AIGitHub Security Lab describes the Fuzzing Taskflow, an LLM agent pipeline that identifies entrypoints, writes harnesses, runs AFL++, reads coverage reports, and triages crashes for C/C++ repositories. The agent makes decisions while MCP tools handle execution, and state is stored in a SQLite database. The post also warns that the taskflow runs AFL and build commands directly on the host, so it should be used only in disposable environments without elevated privileges.

Why it matters: The post explains how an LLM agent automates fuzzing steps like harness writing, coverage gap chasing, and crash triage, with a runnable workflow and design tradeoffs.

AIMicrosoft Foundry expands its agent platform with voice agents in public preview, long-running resilience for hosted agents, and tools for evaluating production agents. The post also says GPT-6 Sol, GPT-6 Luna, and Claude Opus 5.5 are now available in Foundry. Agent optimizer, Insights, and Rubric evaluator are described as tools for continuous improvement, with some reaching general availability later this month.

Why it matters: The post shows how Foundry combines model choice, voice agents, long-running resilience, and production evaluation into one agent workflow, with a customer example.

AIMicrosoft's Foundry Agent Service preview lets developers attach a named, ordered egress policy to a hosted agent, allowing only approved destination hostnames. The walkthrough uses an invoice agent, an Audit-mode RAI policy with a Deny default, and Allow rules for two finance and vendor hosts, configured outside the agent code. Network egress controls are preview features, not GA, with no preview SLA, and are not intended for production use.

AILiveKit has acquired Loophole Labs, an infrastructure company whose technology will enhance LiveKit's platform for building voice, video, and physical AI agents. The acquisition moves LiveKit closer to offering customers essentially unlimited concurrent agents, according to the company.