Anthropic

5/13/2026

Good news, OpenClaw fans — you can once again use your Claude AI subscription to power the hit, open source, autonomous AI agentic harness! But, there's a big catch with how it's being enacted. A few hours ago, Anthropic announced via its official developer communications account on X, @ClaudeDevs, that it is changing its Claude paid subscription tiers, introducing a new subcategory of "Agent SDK" credits for all paid subscribers, which they can now allocate specifically for "programmatic" uses,...

Google

4d

Google has announced Gemini Spark, an AI agent platform designed to automate a wide range of tasks, from drafting emails to monitoring subscriptions. Powered by Gemini 3.5 Flash, it runs 24/7, integrates with Google Workspace, and plans to connect with third-party apps, offering significant future productivity gains for SMBs.

Anthropic

2d

The AI industry has fully entered the "agent era," a paradigm where AI models do far more than generate text — they now actively plan, execute, and course-correct complex tasks over days rather than seconds. Thus, it's perhaps unsurprising to see Chinese e-commerce giant Alibaba's famed Qwen Team of AI researchers release a model capable of performing autonomous agentic AI work over multiple days: that model has arrived in the form of Qwen3.7-Max which the company reports in a blog post achieved...

The creators of NanoClaw — the hit open source, enterprise-friendly variant of autonomous AI agent harness OpenClaw — are moving towards commercializing their technology for enterprises at scale, aiming to provide them with secure AI agents, and an ever-updating library of workplace context, for each human employee the enterprise has approved. The duo, including former Wix.com engineer Gavriel Cohen and his brother Lazer Cohen, also founder of tech public relations firm Concrete Media, shared wi...

Anthropic

5/14/2026

A code migration agent finishes its run, and the pipeline looks green. But several pieces were never compiled — and it took days to catch. That's not a model failure; that's an agent deciding it was done before it actually was. Many enterprises are now seeing that production AI agent pipelines fail not because of the models’ abilities but because the model behind the agent decides to stop. Several methods to prevent premature task exits are now available from LangChain, Google and OpenAI, though...

Microsoft

4d

“A bad system will beat a good person every time” ~Dr. William Edwards Deming (with apologies) I started vibe coding by writing prompts (often dictated into my phone), refining them with an agent in M365 Copilot, and creating handoff files to use with GitHub Copilot CLI. The results were predictably non-deterministic. Prompt-driven development The post Agentic-Agile: Why Agent Development Needs Agile (Not Just Prompts) appeared first on Microsoft for Developers.

NVIDIA

5/7/2026

Inference efficiency has quietly become one of the most consequential bottlenecks in AI deployment. As agentic coding systems such as Claude Code, Codex, and Cursor scale from developer tools to infrastructure powering software development at large, the underlying inference engines serving those requests are under increasing strain. The LightSeek Foundation researchers have released TokenSpeed, an The post LightSeek Foundation Releases TokenSpeed, an Open-Source LLM Inference Engine Targeting T...

Institution: SAILING Lab (CMU & MBZUAI) | Authors: Mingkai Deng, Jinyu Hou, larasneves, Lara Sá Neves, Varad Pimpalkhute arXiv Links arXiv | PDF AI summary Abstract Efficient agentic reasoning requires decomposing decision-making into three systems—simulative reasoning, self-regulation, and reactive execution—enabling controlled planning that reduces token usage while maintaining performance. AI-generated summary 摘要 高效的代理推理需要将决策分解为三个系统：模拟推理、自我调节和反应式执行，从而实现受控规划，在保持性能的同时减少令牌使用。 AI 生成的摘要 Abstract H...

Anthropic

2d

Institution: UCSC-VLAA | Authors: Chtholly17, Juncheng Wu, Letian Zhang, Yuhan Wang, Haoqin Tu arXiv Links arXiv | PDF AI summary Abstract ClinSeekAgent is an automated agentic framework that enables large language models to actively acquire and synthesize multimodal clinical evidence from raw data sources, improving decision-making accuracy in both text-only and multimodal tasks. AI-generated summary 摘要 ClinSeekAgent 是一个自动化代理框架，使大型语言模型能够从原始数据源主动获取和合成多模态临床证据，从而提高纯文本和多模态任务中的决策准确性。 AI 生成的摘要 Abstra...