Agents

AIMarkTechPost publishes a hands-on tutorial implementing RRSI (Regularized Recursive Self-Improvement), a method that lets an LLM agent revise its own harness around a frozen model. The full loop drafts edits with Claude Opus on Vertex AI and scores them in Docker benchmarks, but the edit-selection rules are plain Python that the tutorial runs in a simulated environment with a calibrated noise band.

AICurrent AI can quickly implement or replicate features, but clearly defining requirements and describing design is still missing, and the author expects this gap to persist. As requirements grow more abstract, humans may only specify goals and check results while agents handle implementation, leaving the software's logic layer as model-generated tokens.

AIDoubao Work has added a Canvas feature for complex creative tasks, placing materials, design plans and outputs on one infinite canvas where users can keep editing text, colors and layout after images are generated. The update also integrates the lightweight Doubao 2.1 Lite model, aimed at everyday Q&A, document writing, spreadsheets and PPT creation, with optimized response speed and usage consumption.

AITRAE announced on October 9 that it has merged TraeWork and TraeCode into a single platform offering Agent mode and IDE mode with seamless switching between them. The upgraded product covers desktop, web, and mobile, letting users start tasks on a computer, check progress on mobile, and continue development back on desktop.

AIToday AI, built by Teambition founder Qi Junyuan, launched its China version on September 24 and connects to Feishu, DingTalk, Tencent Docs and email. The author found it proactively sends morning and evening briefings and handles a single chat window across tasks, but struggled with misjudging task weight and gave confident yet wrong mod-installation instructions that cost an hour of testing.

AIEvan Cheng, CEO of Mysten Labs, presented the Sui Agent Pass at Sui Basecamp in Singapore as a way to bound AI agent authority over money. Users would define allowed actions, assets, recipients, and permission duration, with the system itself enforcing those limits so that losses stop at a predefined cap even if an agent is compromised. The article argues that the real challenge is making such limits impossible to bypass when failures occur.

AIIn a podcast, former ByteDance engineer Guo Yu says that in 2015 he first saw a company whose products were driven by neural networks that even engineers could not fully explain. He also argues that after AI took over coding, one person now carries the decision load of an entire former team, which has driven him to burnout.

AIopenJiuwen, an open-source AI Agent platform built by Huawei teams with universities and enterprises, released and open-sourced an enterprise-grade AgentOS. It integrates multi-agent collaboration, self-evolution, compute affinity, multi-tenant isolation and security sandboxing, and a plugin architecture with the Agentic Hub ecosystem.

AIXPENG has named its robotaxi business XPENG YOYO and launched a ride-hailing mini program that lets invited members of the public test the service. The company says its first production robotaxi, based on the flagship GX model, rolled off the line in May 2026, and it has completed more than 2,000 internal test rides in Guangzhou. XPENG says YOYO uses four in-house Turing AI chips delivering 3,000 TOPS, a second-generation VLA model, and a vision-based approach without high-definition maps or LiDAR.

AIThreatBook has acquired CyberStrikeAI, an open-source AI pentesting agent, after reports that attackers had used it in real intrusions. The company says it added guardrails to limit misuse but will put new capability enhancements into its commercial edition, and it argues defenders should control such tools. It also corrects an earlier threat intelligence report that linked the developer, a security engineer at Alipay, to government agencies, calling that attribution a false positive.

AIHuawei has opened its DevEco Studio for HarmonyOS PCs to public beta, alongside first public betas of the AI tool DevEco Code and the agent toolkit DevEco CLI. The beta requires HarmonyOS 7.0.0.107 or later, at least 16 GB of memory and 100 GB of storage, and runs on several MateBook models and the MatePad Edge. DevEco Code ships with Zhipu AI's GLM-5.3 and GLM-5.1 models and supports third-party model connections.

AIHong Kong's Centre for Artificial Intelligence and Robotics (CAIR), Chinese Academy of Sciences, unveiled CARES 4.0, a multimodal clinical AI agent that carries out tasks rather than only answering questions about images or video. Built on the Harness agent framework and CAIR's own CT, MRI, ultrasound, endoscopy and EEG foundation models, it has been validated at several top-tier hospitals. CAIR says the system gives suggestions with reasoning paths and sources, and that the doctor remains the final decision-maker.

AIMirroS released AgentGarten, which pairs executable code environments with a real-time neural renderer running above 30 fps so agents can act, observe, and learn. In a one-on-one hide-and-seek setup, the hider learned to block passages by round 4 and the seeker learned to climb ramps by round 10, guided by notes the agents wrote after each round. The authors report applying the same loop to four other tasks, including a dog-companion game, a narrow-bridge car passing task, herding, and quarry loading.

AIOpenClaw says it has added many new features and quality-of-life improvements over the past few months. A video covers new models, multiplayer, interactive dashboards, memory and skills, meetings and voice, and easier Mac setup. It also previews plans for the coming months.

AICoreWeave is layering managed services over its infrastructure to address AI inference bottlenecks, including a preview capability called CoreWeave RL Rollouts that improved model reload latency by 15x versus a baseline configuration in testing. The capability is built on Nvidia's Dynamo framework, and the features are packaged into CoreWeave Forge, a platform that is free to start with paid tiers offering additional capabilities.

AIThe University of Michigan's EECS 498 course Applied Agentic Software Engineering teaches a coding agent across three phases, from applying and analyzing agents to building one. Its Elephant-Goldfish Model packages a design-first workflow into five Skills, with human handoffs between each step, and the course materials are public on GitHub.

AITeknium called a Hermes Desktop demo "pretty sick" after Jonathan Bylos reported that Hermes Agent produced an intelligent UI embed during a design discussion without being asked. Bylos said the feature has been running in Hermes Desktop for a few days.

AIGoogle Cloud introduced the Gemini agent, a general office agent that can search, write emails, build slides, analyze data, run code, and coordinate sub-agents. It can take on an enterprise identity with email, calendar, and account, and it selects underlying models automatically, including Anthropic's Claude. The article presents this alongside OpenAI's Dots and Meta's Muse as competing office and personal agents.

AIGoogle Cloud unveiled Gemini Agent at its Gemini at Work 2026 event, a general-purpose work agent for enterprise customers that works across Gemini Enterprise and Workspace. Currently the agent supports Gemini and Claude models, with an API planned so developers can integrate it into third-party applications.

AISnyk 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.

AITessl'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.

AITessl 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.

AIThe 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.

AIAI 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.

AIThe 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.

AIOpenAI'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.

AIOpenAI'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.

AIOpenAI'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.

AIA 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.

AIStack 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.

AIOpenAI'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.

AICornerstone 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.

AITencent 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.

AIThe 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.