i'm pulling out my suit for this Huge shoutout to @imaanxsultan and everyone else for organizing!
i'm pulling out my suit for this Huge shoutout to @imaanxsultan and everyone else for organizing!
i'm pulling out my suit for this Huge shoutout to @imaanxsultan and everyone else for organizing!
Snyk moved its internal support agent, Snyk Assist, into the core Snyk product in September 2026, giving every paying customer access. Built on LangChain and LangGraph with observability in LangSmith, the agent answers questions in plain language and can open support cases or log feature requests. It runs as a single agent behind Slack, web and API surfaces, with tools attached per user permissions.
Tessl's blog post argues that teams should record agent mistakes as attributed, signed diary entries, then curate them into reusable context packs rather than adding unverified rules to files like AGENTS.md. The author describes a REST API case where an agent regenerated the OpenAPI spec and TypeScript client but missed the Go client, and the same lesson had to be re-taught in a fresh session.
Tessl argues that an AI-native organization collapses the handoff between people who own outcomes and the work itself, so product managers and designers can execute changes through agents. It says PR count and token spend are insufficient measures, and that merge rate better shows whether the new workflow is working. The article also says the boundary should follow decision authority, with engineers still owning architecture and data models.
The author argues that system use cases, with actors, preconditions, scenarios, and acceptance criteria, work better than user stories as the input for AI code generation in enterprise business applications. He describes a process that skips the plan-and-task phase, reverse-engineers legacy systems into use cases and entity models for modernization, and recommends self-contained system verticals and risk-based review.
AI DevCon New York, running November 2–4 at Industry City in Brooklyn, centers its program on software factories, the systems needed to make agentic development repeatable, trustworthy and scalable. The article argues that moving from one developer using an agent to an engineering organization requires layers covering context and skills, harnesses and tools, orchestration, verification and evaluation, and feedback.
The article explains how a software factory combines agents, tools, and engineering practices to take work from intent to verified output. It argues that teams should enforce domain rules, workflow gates, and tool permissions independently, version shared guidance and checks, and review lessons before reuse.
OpenAI's DevDay 2026 session demonstrates Codex shifting from a single-user tool to a team-oriented agent. The session shows a persistent personal agent investigating a 2am outage, from the first Slack message through a reviewed fix, using voice, Appshots, plugins, and meeting notes to keep the team informed.
OpenAI's DevDay 2026 video presents what's new in Codex across the CLI, app, and web. Live demos show moving from delegating individual tasks to having Codex tackle entire problems and goals. The source is a short description only, so no specific features or figures are confirmed.
OpenAI's DevDay 2026 session shows how its teams use ChatGPT to manage launches, research competitors, and turn expertise into tools. The source provides no further details on specific features, metrics, or availability.
A DevDay 2026 session from Higgsfield explores how its agents choose models and provision their own compute. It covers when to use dedicated GPUs versus hosted models, how to deliver predictable throughput, and where the approach can fail.
Stack Overflow's small teams used Codex to build Stack Overflow for Agents and reimagine Stack Internal, according to a DevDay 2026 session. The talk covers lessons for accelerating R&D and bringing new products to market.
OpenAI's YouTube video shows developers how to build plugins for ChatGPT that run a custom interface alongside a conversation. The plugins can bring selected context into the user's work with ChatGPT, according to the source's description of plugin extensions through Meetings and OpenAI Developers.
Cornerstone OnDemand built Orion AI, a multi-agent system using Amazon Bedrock and the open source Strands Agents framework, that cut database diagnosis from 45 minutes to 10, a 78% reduction. The system also reduced manual lifecycle steps from more than 10 to a single interaction and filtered redundant alerts by a median of 65%. A three-person team delivered it in six months.
Tencent introduced roughly eight vertical AI agent products between July and September, each built on an existing business such as games, music, WeChat or video conferencing. CraftBuddy generates 2D and 3D games from natural-language prompts with more than 40,000 prebuilt art assets, while MusicBuddy adds an AI chat panel to multitrack music editing. The products extend the "Buddy" family alongside WorkBuddy and CodeBuddy.
The Chinese Academy of Sciences Hong Kong Innovation Research Institute's CAIR centre launched CARES 4.0, a multimodal clinical agent system built on a Harness agent framework, at the 4th Hong Kong clinical robotics and embodied AI symposium. Unlike its predecessor, which only answered questions, CARES 4.0 can carry out tasks such as generating department reports and assisting diagnosis from CT, MRI, ultrasound, endoscopy and EEG data. The framework and general toolkit are released, with the medical toolkit to follow.
Naive AI, a Tsinghua-linked company founded seven months ago, has raised $400 million across three rounds at a post-money valuation of $1.42 billion. The company's founder is Dai Jifeng, an associate professor in Tsinghua's Department of Electronic Engineering, and its team has not given interviews or published a product introduction.
Zhang Lei, then a recent PhD graduate working mainly on image retrieval, beat a team led by face recognition expert Li Ziqing in a 2002 Microsoft Research Asia contest to build a face detection system. He cut the false-positive rate from roughly 50% to 1%, and the algorithm was integrated into Windows. Several members of his team later became prominent figures in China's technology industry.
A paper introduces HERMES, a harness that pairs each repository component with a resident LLM and uses dependency-aware activation and failure diagnosis. With the same model and effort setting, GPT-5.6 Sol's whole-repository migration score rose from 6.5% to 31.0% when Codex was replaced by HERMES. Across four software engineering benchmarks, HERMES beats matched baseline harnesses by 12.4 points on average, and Qwen3-8B components come within 4.5 points of an all-GPT-5.6 Sol setup while cutting Terminal-Bench 4.0 inference cost by 26.2%.
Meta, Walmart, Stripe and Sierra Technologies are partnering on a Personal Agent Protocol that would define how AI agents interact with businesses online. Sierra co-founder Bret Taylor said it will handle authentication and give companies visibility into personal agents' activity, and it is open for anyone to implement. The effort responds to concerns from six major banks, which urged the industry last month to set standards around transparency, safety, privacy, choice and interoperability.
Atlassian announced the Agentic Multiplayer Protocol (AMP) at Team '26 Europe, a platform update designed to let humans and AI agents collaborate on shared context and tasks in one governed workspace. Agents receive administrator-assigned identities with defined authority and scope, and the company's Rovo Work mode handles multi-step tasks that humans review and approve. Atlassian's MCP server now exposes 200 tools and handles roughly 15 million tool calls daily.
Kore.ai launched Autoloop, an optimization engine that automatically adjusts AI agents built on its Kore.ai Agent Platform to meet business-set goals, including after deployment. The engine scores each proposed change against goals such as task completion, business-rule adherence, accuracy and cost. Autoloop is available now to all customers on the Artemis edition of the Kore.ai Agent Platform.
Infor is building industry-specific AI agents on its Infor OS foundation and open architecture, according to CEO Kevin Samuelson. Infor says two in three businesses find off-the-shelf AI does not adequately address their industry's needs. The company pairs customers with forward-deployed engineers, and Samuelson says prototypes can now take one to three weeks.
Infor is developing industry-specific AI agents for industrial manufacturing, aerospace and defense, automotive, and food and beverage, built on its existing industry applications. Suresh Jayaraman, Infor's senior vice president of product management and development, said generic agents often fail to give deterministic answers and produce hallucinations. Infor's 2026.10 release adds guardrails through security and scopes, while agents still need human approval to move orders between customers.
Contact center success is shifting from call speed and deflection toward resolution, with experts arguing that AI agents should be measured by "conversation to completion." Speakers at theCUBE's coverage said AI can handle high-volume, low-stakes calls while humans take complex issues, and that context must carry across AI-to-human handoffs.
Midwest Wheel Companies is building toward AI agents that fix problems, with senior vice president Steve McEnany saying the company ties new capabilities to a single Infor system as a point of reference. The company's AI features include a product recommender in order entry and automation that scans emailed PDF invoices into the system. McEnany said a human should stay in the loop for anything touching cash or accounts, and that data and rules must be checked before agents act.
Anthropic released Claude Haiku 5.5, a small model priced at about a quarter of Haiku 4.5's running cost. Anthropic also halved Sonnet 5.5 cache read prices from 20 cents to 10 cents per million tokens.
Nous Research, developer of the open-source Hermes AI agent, raised $90 million in a Series B round led by Robot Ventures, with Nvidia and Samsung participating. The company is now valued at $1.5 billion and says Hermes has been downloaded more than 24 million times. The source also reports $36 million in annualized revenue as of mid-September and expects it to exceed $100 million by year's end.
OpenAI says its GPT-6 models can generate visual, interactive answers in ChatGPT, such as charts, forms, and tappable buttons, when the model judges they help. Basic questions stay text-only, while users can request an interactive response at any time. The Intelligent UI is available now to Plus, Pro, Business, and Enterprise subscribers, with Free and Go users getting access the next day.
Wall Street is increasingly letting AI agents interpret market information, so a bad source or missing context can spread into real-world decisions before anyone detects the error. The source article does not identify specific models, products, or institutions.
Meta's Muse AI agent has millions of users and can handle tasks such as refunds and insurance shopping. Its broad access to personal data is already producing unnerving mistakes.
The S&P 500 closed above 7,800 for the first time, marking its first record close in nearly two months, while the Nasdaq Composite also hit a fresh all-time closing high. Chipmakers led gains, with Marvell Technology up 5.8%, Advanced Micro Devices up 3% and Broadcom up 3.7%. Investors are now watching Federal Reserve September meeting minutes and a $39 billion 10-year Treasury note auction.
Manus, an AI agent startup, raised more than $500 million in a funding round led by Boyu Capital and IDG Capital, with follow-on investment from Tencent, HSG and ZhenFund. The company did not disclose its post-funding valuation, though Bloomberg reported last month it was set to double to $4 billion. The round follows Beijing's order blocking Meta's roughly $2 billion acquisition of Manus.
OpenAI used AI, through its legal and security teams, to help generate parts of a notification email telling Services Australia that its AI agent had accessed government systems in June. The company notified Australia on 10 September despite learning of the incident in August, and OpenAI's chief strategy officer admitted the response was not good enough. Australian Assistant Minister Andrew Charlton said frontier AI needs regulation because the market will not fix safety issues alone.
Meta has released its Muse AI assistant in a dedicated iPad app, one month after its September 8 launch on iOS and Android. Sensor Tower estimates Muse has topped 6.6 million installs, and the iPad release adds connectors for Asana, Canva, Dropbox, Figma, QuickBooks, GitHub, Klaviyo, Zoom, Notion, Granola, and Meta ad accounts.
Microsoft revealed prices and specs for its Surface Laptop Ultra, built on Nvidia's RTX Spark chip, starting at $2,600 and designed to run AI models locally on the device. It also announced the Surface RTX Spark Dev Box, starting at $6,000 with developer tools, and a Windows 11 feature called Execution Containers for sandboxing AI agents, which will reach all Windows 11 users.
Nous Research, developer of the open source Hermes Agent, raised a $90 million Series B at a $1.5 billion valuation led by Robot Ventures. The capital will fund its enterprise push with Hermes for Businesses, which lets companies deploy customized AI agents for multi-step workflows while keeping data private. The article reports about $36 million in annualized revenue by mid-September 2026, citing The Wall Street Journal.
Manus' parent company Butterfly Effect said it raised more than $500 million, its first funding round since Meta called off its $2 billion acquisition. Boyu Capital and IDG Capital led the round, and existing shareholders including Tencent also participated, though the valuation was not disclosed.
Google released Google AI Edge Foresight, a Mac app that captures meeting notes offline using the on-device EmbeddingGemma 2 model with 740 million parameters. The app offers split-screen shorthand and AI-generated notes, transcripts, and a Gemma 4-powered assistant that can answer questions from uploaded documents. Google's FAQ says it is optimized for Apple Silicon.
Zach Yadegari, the teen co-founder of calorie tracking app Cal AI, has launched Persona, a personal AI assistant startup that has raised $10 million led by Vine Ventures. Persona will offer a $179 wearable band that activates via button or wrist flick, with the model running in the cloud rather than on the device. The band is expected in December, and Persona is currently a free beta available through iMessage.