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heise online launches a hands-on workshop on AI coding assistants

heise online launches the iX workshop "Programming More Efficiently with AI Assistants," using GitHub Copilot as an example to guide developers through prompt techniques, Spec-Driven Development and Agentic Coding, and to distinguish these from Vibe Coding. The course also covers the architecture, features and pricing of Cursor, Claude Code, OpenAI Codex and Kilocode, and explains how MCP and RAG connect to external tools and your own data. The workshop takes place online on December 15–16, 2026, and is led by Rainer Stropek.

Entire adds free direct hosting for private repositories to the platform

On October 26, 2026, Entire added free direct hosting for private repositories to its human-AI collaborative development platform, allowing users to use it without keeping the original repository on GitHub. According to gihyo.jp, the platform also offers agent code review and a Continuous Memory feature that lets AI agents in new sessions refer to policies established in previous sessions. Hosting is free, and billing is based only on the amount of AI model usage by agents. The accompanying EntireDB stores complete copies of repositories by region to distribute read load, and is planned to be open-sourced within a few months. There are currently no further developments.

Tripo AI releases and open-sources the real-time generative renderer EdenLive

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Microsoft opens Copilot agent harness public preview through Foundry

On October 30, 2026, Microsoft opened the public beta of the GitHub Copilot agent harness through the Foundry Agent Service in Microsoft Foundry. The harness provides built-in sandboxing, reusable skills, MCP integration, and sub-agent support; the same harness already supports Copilot Code, Copilot Studio, GitHub Copilot, CLI, and VS Code. When creating a prompt agent, this harness must be selected and cannot be changed afterward; CPU, memory, and idle duration are controlled by Microsoft, and bring-your-own-model is not supported. The service is free until December 1, 2026, after which it is billed at $0.0994 per vCPU-hour and $0.0118 per GiB-hour, with model inference and some tools billed separately.

Reflex Completes $14 Million Series A Funding

Reflex has completed a $14 million Series A funding round led by Standard Capital, with participation from Databricks Ventures, Y Combinator and others, bringing its cumulative funding to $19 million. According to SiliconANGLE, Reflex's "software factory" workflow lets enterprises describe requirements in natural language to build, deploy and maintain their own business applications, which can run on public clouds, in on-premises data centers, or in air-gapped environments. Reflex originated from an open-source Python framework, with nearly 30,000 GitHub stars and 400,000 monthly downloads; Dell used it to build a server monitoring system for more than 6,000 employees. No follow-up developments are available at this time.

The Institute for Advanced Study in Mathematics of Zhejiang University and Zhijiang Laboratory launch the Future Mathematics Program

On October 30, 2026, ScienceNet published an interview report mentioning that the Institute for Advanced Study in Mathematics of Zhejiang University and Zhijiang Laboratory jointly launched the Future Mathematics Program. The report stated that the program focuses on four areas: mathematical foundation models, formal verification, AI mathematical mechanisms, and interdisciplinary empowerment. Li Jianshu, an academician of the Chinese Academy of Sciences, said in the report that AI may change the paradigm of mathematical research, and pointed out that mathematics has done far from enough for AI; Wang Jian, an academician of the Chinese Academy of Engineering, believes that AI's reasoning ability currently comes mainly from code, and that learning deeper reasoning from mathematical data will bring greater gains. The report also mentioned that Google DeepMind's AI agent solved 9 previously unsolved Erdős problems and tackled 44 open mathematical conjectures in May this year, and that OpenAI recently published 722 mathematical manuscripts generated by its internal AI models on GitHub, while 25 Fields Medalists including Terence Tao and Deng Yu jointly issued an open letter warning of a serious misalignment between AI and mathematics. Currently, no further progress on the program has been disclosed.

inclusionAI open-sources the ZwZ model family and the ZoomBench benchmark

On October 30, 2026, Ant Group's inclusionAI open-sourced the ZwZ model family and the ZoomBench fine-grained perception benchmark as companion results to an ICML 2026 paper. According to the introduction of inclusionAI's new GitHub repository, the ZwZ model family includes three sizes—4B, 7B, and 8B—and achieves SOTA on multimodal perception benchmarks among open-source models, requiring only a single forward inference pass and no tool calls at inference time. Its method is Region-to-Image Distillation (R2I), which distills high-quality VQA supervision generated from enlarged local regions back into the full image, with 37K training samples. The simultaneously released ZoomBench contains 845 VQA items covering 6 fine-grained perception dimensions, and Qwen2.5-VL-7B achieves only 42.5% average accuracy. There are currently no further developments.

Ant Group's GuangJian team releases visual forensics model DefakerOne2

Ant Group's GuangJian team has open-sourced the visual forensics model DefakerOne2 on GitHub and released the model weights. The model is built on the Qwen3.5-2B multimodal backbone with 2B parameters, covering AI-generated content, DeepFake faces, document tampering, natural image tampering, face and ID anti-counterfeiting, and AI-generated video detection. The team says the model was trained on about 50 million samples, using a three-stage Tide-Style Tuning process from LoRA to full parameters and back to LoRA, and employs entropy-based test-time routing to choose between the video and frame pathways. The team also says it achieved SOTA on 40 of 53 detection benchmarks and on 11 of 14 localization benchmarks, and that the weights and the RRVBench benchmark have been released on ModelScope.

Placeholder code for the V5 series appears in DeepSeek's official code repository

On October 28, 2026, Phoenix Technology reported that placeholder code for DeepSeek-V5, V5-open, V5-next, and others had appeared in the official DeepSeek Harness code repository, and that the official team had made advance preparations for the V5 series release. The report noted that these code entries are currently only placeholders; when released in the future, the server side will only need to modify /models to go live, with no client release required. Among them, V5-open follows a "no version threshold" path, while V5-next follows a "client upgrade required" path. On October 30, TMTPost·AGI further reported that these model names appeared in the test code of the official DeepSeek Harness GitHub repository, corresponding respectively to three release paths: unrecognized by the current client, usable directly on any version, and requiring a DSH upgrade to use. Among them, deepseek-v5-next requires a minimum version of 99.0.0-alpha.1, while the publicly available DSH version remains at 0.2.x. The report also stated that these entries were uploaded on September 24, 2026, by DSH core contributor Jiang Yichen. There is currently no official release information.

Arena.ai launches Connectors in Agent Mode

Arena.ai announced that Connectors has entered Agent Mode. Users can connect external tools such as Vercel, Linear, GitHub, Supabase, Notion, Gmail, Google Drive, and Google Calendar within the same task, thereby completing more complex real-world tasks end to end. Arena.ai stated that the first batch of integrations covers the most highly requested services from the community, and the list will continue to expand. The feature is currently live, with no further developments as of yet.

Claude Code v2.1.312 adds the oidc.user_id_claim configuration

Claude Code released version v2.1.312, adding the oidc.user_id_claim configuration. This configuration allows identifying users by a claim in the id_token other than sub, such as the oid in Microsoft Entra ID. The same version also supports clicking the prompt of a queued message in full-screen mode to send it directly, and fixes issues including that after logging in from the VS Code extension, managed settings and organizational policies are no longer fetched within the session, and that Claude overwrites the original file after seeing only the beginning of an oversized CLAUDE.md, while also renaming the usage prompt for the 5-hour window to "5-hour limit". This version is currently available via GitHub Releases.

The inclusionAI repository provides ZwZ2 training and evaluation code

Ant inclusionAI open-sourced Zooming without Zooming v2 (ZwZ2) on October 27, 2026 in a new GitHub repository, providing training and evaluation code for ZwZ2-4B/9B/27B. The models are based on Qwen3.5-4B/9B and Qwen3.6-27B, trained with GRPO reinforcement learning, using 20.4K multi-region VQA samples validated across models as training data. The models are trained on full images and require no scaling tools at inference time, and can be transferred to perception, spatial reasoning, long-context understanding, and multimodal agent tasks. The code, data synthesis, and evaluation pipeline are all released under the Apache 2.0 license. There are currently no subsequent developments.

Baidu releases open-source model Unlimited OCR 2

On October 27, 2026, Baidu released and open-sourced the document parsing model Unlimited OCR 2. According to Baidu's official introduction, the model uses a new SR-SWA mechanism to compress the attention interaction between text and vision into a fixed-size working reference, thereby parsing documents of almost arbitrary length within a limited context window; Baidu says that as documents grow longer, per-step decoding latency and memory usage remain nearly constant, and that it achieves SOTA performance on MPDocBench and MarathonDocBench, which cover documents ranging from dozens to hundreds of pages. On the same day, QbitAI reported that in a single-sequence test at the hundred-page level, the model reduced peak KV cache from 47GB under standard decoding to 1.77GB, a reduction of about 96%; in a 16-way concurrent test, end-to-end throughput rose from 360 to 1315 tokens/second, about 3.65 times that of standard decoding. The model has been open-sourced on Hugging Face and GitHub.

Databricks adds productivity and AI data connectors to Lakeflow Connect

On October 27, 2026, Databricks announced that Lakeflow Connect offers native, fully managed connectors for sources including Atlassian (Jira, Confluence), Microsoft SharePoint, Google Workspace (Drive, Outlook, Gmail), GitHub, as well as OpenAI and Anthropic, with data landing directly in Unity Catalog. Unstructured files, pages, and emails land as governed tables, with no need to build or maintain data pipelines, and can be used for enterprise knowledge bases, AI agents, and developer productivity dashboards. According to the Databricks blog, Toyota Finance Australia used its Jira connector to achieve a zero-maintenance pipeline, and VaxCare used its Confluence connector to provide knowledge base support for its chatbot. There are currently no further developments.

Databricks adds productivity and AI data connectors to Lakeflow Connect

On October 27, 2026, Databricks announced that Lakeflow Connect offers native, fully managed connectors for sources including Atlassian (Jira, Confluence), Microsoft SharePoint, Google Workspace (Drive, Outlook, Gmail), GitHub, as well as OpenAI and Anthropic, with data landing directly in Unity Catalog. Unstructured files, pages, and emails land as governed tables, with no need to build or maintain data pipelines, and can be used for enterprise knowledge bases, AI agents, and developer productivity dashboards. According to the Databricks blog, Toyota Finance Australia used its Jira connector to achieve a zero-maintenance pipeline, and VaxCare used its Confluence connector to provide knowledge base support for its chatbot. There are currently no further developments.

View story:Databricks adds productivity and AI data connectors to Lakeflow Connect

Meta Shares AI Networking Innovations at OCP Summit

At the 2026 OCP Global Summit, Meta unveiled networking innovations supporting its latest AI models and its gigawatt-scale Prometheus cluster. The first liquid-cooled network rack introduced by Meta, IcePack, debuted alongside the 102.4T switch IceCube (128×800G, available with either Broadcom Tomahawk 6C or NVIDIA Spectrum-6). For scale-out, the Flattened Planar Fabric connects each GPU to eight network planes, simplifying the Clos architecture from 3 tiers to 2; for scale-across, Meta introduced BAG, a petabit-class super backbone connecting buildings, campuses and regions. Meta also introduced Tahan, an MTIA 300 Ethernet scale-up switch based on Broadcom Tomahawk5, and open-sourced its MetaRoCE software implementation, with the first user-space version, libsoftmetaroce, now available on GitHub.

Tencent Hunyuan open-sources Chinese-English simultaneous interpretation model Hy-SimulMT

On October 26, 2026, Tencent Hunyuan open-sourced the real-time Chinese-English simultaneous interpretation model Hy-SimulMT, with a latency of about 3 seconds and support for real-time voice cloning; the model has been released on Hugging Face, ModelScope, and GitHub. Tencent Hunyuan officially stated that its performance surpasses most open-source models and commercial APIs. The next day, IT Home reported that the model supports real-time Chinese-English speech-to-speech translation and has been launched for free on Tencent's Hy Translation App; according to the official statement, the measured response time is about 3 seconds, compared with an average of 4 to 5 seconds for professional human interpreters. On RealSI, an open-source long-audio evaluation benchmark, the model achieved the best results among open-source models at the lowest latency, and is said to outperform most commercial simultaneous interpretation APIs; in comparisons with six CATTI-certified simultaneous interpretation experts, it scored higher in translation quality and had lower latency.

GVS5H proposes a training-free ledger self-orchestration method

The GitHub project GVS5H proposes a training-free ledger-based zero-shot self-orchestration method that lets multiple new instances of the same model decompose problems and collaborate through a shared file system (storing plans, notes, and the current solution). On 100 of the latest LiveCodeBench Hard problems, the method yields up to a 25.6 percentage point improvement with a fixed backend: orchestrated Qwen3.8 Flash Next reaches 93.0% pass@1, higher than Fable 5's 90.4%, at 9% of its cost; the locally deployed open-source Qwen3.8-27B rises from 66.8% to 92.4%. The authors also note that the improvement is not universal, with some models staying flat or performing worse, and transcript analysis attributes the gains to task decomposition and persistent context.

Cognition open-sources agent security plugin

On October 23, 2026, Cognition announced the open-sourcing of an agent plugin designed to help systems defend against recent cybersecurity threats. According to information released by Cognition, the plugin can be installed on any agent and can also be used directly in Devin. Subsequent reports further stated that the open-source, free plugin is named Devin Vulnerability Fixes and includes three Agent skills—fix-php-vuln, fix-node-vuln, and fix-gitlab-vuln—under the MIT license, targeting PHP2Shell, the Node.js October security release, and the CVSS 10.0 self-managed GitLab vulnerability CVE-2026-110264, respectively; the skills execute in five steps: read-only inventory, approval, target version verification, before-and-after testing, and one PR per repository, and can run in agents that read SKILL.md, such as Devin, Claude Code, Codex, Cursor, and GitHub Copilot, requiring git, shell, Docker, and image registry access permissions, with npx installation requiring Node.js 22.20 or later. The report also stated that the original article did not publish a fix-rate benchmark, and that hosted runtimes, all-in-one machines, and Electron applications are only flagged rather than patched.

AWS makes Continuum code vulnerability detection and remediation generally available

On October 23, 2026, AWS made Continuum's code vulnerability detection and remediation capabilities generally available. The service can find and verify vulnerabilities in code repositories, combine AWS environment information to determine whether an attacker can reach the vulnerability and what resources could be further accessed, rank them by business impact, and provide remediation recommendations; when reproducing vulnerabilities in an isolated sandbox, it provides PoC code and reproduction steps, and fixes are submitted as pull requests to the associated GitHub repository, requiring human review before being applied. Currently, this capability is available only in the US East (N. Virginia) and US West (Oregon) regions. In a benchmark announced on October 5, AWS said that Continuum completed 819 of 920 tasks on CyberGym-E2E, with an end-to-end success rate of 89.0%, compared with the previous publicly reported best of 65.9%; however, the proportion of patches that also fixed the historical vulnerabilities specified by the benchmark was only 37.8%, compared with the previous publicly reported best of 26.2%. The benchmark covers only C/C++ memory safety vulnerabilities in 139 open-source projects, and the tests were conducted by AWS itself.