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NanoClaw now integrates with Slack, allowing users to create persistent AI agent teams with specialized roles, memories, permissions, workflows, and avatars from a single message. Agents can collaborate in Slack channels and Canvases, while also being reachable through Telegram and WhatsApp.
Slack is launching Slack Code, a dedicated channel experience for teams to collaborate with AI coding agents. Users can tag agents such as Anthropic’s Claude or Cognition’s Devin, compare code changes, and preview HTML output within project-specific channels.
FinSkillBench is a new benchmark for testing AI agents on portfolio construction, risk management, and fundamental analysis. Across nine models, curated procedural skills raised mean performance from 0.366 to 0.528, while self-generated skills delivered little benefit.
Slack Code now lets developers bring AI coding agents into a shared Slack group chat, allowing teammates to participate in the interaction. The update shifts coding-agent use from a private developer workflow toward collaborative team review and discussion.
NVIDIA demonstrates how developers can build real-time edge AI applications with Holoscan using its CLI, skills, documentation, and AI coding agents. The workflow leverages HoloHub’s reference applications and reusable components to help agents assist with development.
NVIDIA SkillEvaluator is designed to measure whether packaged agent skills improve AI agent performance. It evaluates the value of instructions, examples, and tool guidance that help agents find relevant context, reduce wasted steps, and complete specialized tasks more effectively.
SkillEffect is a checked-lowering runtime that converts agent-generated tool programs into audited, memory-bounded implementations before execution. Its shared runtime supports six operator families and rejects adversarial proposals while improving completion under fixed memory caps.
The article presents the idea of “Simple agents” and frames Slack as a new kind of integrated development environment. It suggests that agent workflows may be built and operated directly through Slack, though no implementation details are provided.
Amazon Bedrock AgentCore now supports Policy Authoring, which converts natural-language policy documents into Dogwood policies. The update helps teams enforce agent controls, including new time-based constraints, with worked examples and best practices.
AWS Professional Services uses a multi-agent framework on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Specialized agents cover discovery, infrastructure-as-code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.