Perplexity Search as Code Runs Agent Search in Python
Perplexity introduced Search as Code, a Python sandbox architecture for turning repeated agent retrieval into executable search pipelines.
Perplexity introduced Search as Code, a Python sandbox architecture for turning repeated agent retrieval into executable search pipelines.
NVIDIA JetPack 7.2 packages NemoClaw, Jetson agent skills, Yocto support, MIG, and Orin Super Mode for physical AI agents at the edge.
Google SRE has published its AI-Ops design for AI Operator, Actus, Detectr, and controlled autonomous production mitigation.
AWS AgentCore Optimization preview productizes agent quality loops with trace-based recommendations, batch evals, and A/B testing.
NVIDIA and Microsoft introduced RTX Spark, a Windows PC category for local agents with 120B LLMs, 128GB unified memory, and OpenShell.
Microsoft SkillOpt treats SKILL.md-style agent instructions as trainable artifacts updated through rollouts, validation scores, and bounded edits.
CoreWeave introduced agentic AI integrations that connect inference, W&B Weave observability, serverless RL, and coding-agent tooling into one improvement loop.
MongoDB announced Automated Voyage AI Embeddings and LangGraph.js memory support, reframing agent reliability as a data freshness and memory problem.
Trust3 AI’s agent discovery guide frames shadow agents, MCP bindings, runtime traffic, and ownership as an inventory problem for AI governance.
Datadog State of AI Engineering 2026 shows how production LLM apps fail on quotas, routing, prompt cache, and context growth, not only model quality.
TrustLogix TrustAI moves AI agent control to the data layer with MCP governance, intent-based authorization, and a runtime kill switch.
Microsoft Agent 365 is now generally available, turning AI agents into governed inventory across Entra, Defender, Purview, and Microsoft 365 admin.