Build an Agent That Thinks Like a Data Scientist: How We Hit #1 on DABStep with Reusable Tool Generation. NVIDIA’s KGMON Data Explorer uses the NeMo Agent Toolkit to build a data‑science agent that won DABStep and reports 30× faster multi‑step tabular reasoning. It’s a concrete, copyable pattern for reusable tool generation and agent tooling you can graft onto production pipelines (Principles 03, 07).

Y Combinator-backed Random Labs launches Slate V1, claiming the first ‘swarm-native’ coding agent. Slate V1 orchestrates parallel worker threads into a swarm‑native coding agent to scale complex engineering tasks. Swarm primitives like this change how you decompose problems, handle state, and design coordination for agentic delivery lanes (Principle 09).

Document Poisoning in RAG Systems: How Attackers Corrupt Your AI’s Sources. Amine Raji shows how attackers can poison RAG knowledge bases to coerce LLMs into confidently outputting fabricated facts within minutes. Treating retrieval sources as adversarial inputs is essential—add provenance, poisoning detection, and verification to your RAG pipelines (Principles 02, 14).

NanoClaw and Docker partner to make sandboxes the safest way for enterprises to deploy AI agents. Docker integrates NanoClaw to enforce containerized isolation for AI agents, creating safer sandboxes for enterprise deployment. Runtime isolation and least‑privilege sandboxes become core infra components you must design, test, and monitor before scaling agent fleets (Principles 07, 14).

1M context is now generally available for Opus 4.6 and Sonnet 4.6. Anthropic makes 1M‑token context generally available at standard pricing, undercutting long‑context premiums. Larger context windows let you simplify context engineering, reduce retrieval hops, and rethink prompt design and auditing for single‑shot agent workflows (Principles 06, 12).