AI news for platform & agent engineers
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If you’re an IT leader, you might be getting a lot of questions about how to build and deploy agents. The pressure to move fast is intense, but the engineering reality is incredibly complex. Where do your teams even b... Context & related coverage →
For robots to work reliably in commercial and industrial applications, can recent advances in agentic coding systems combine interpretable robot programming with the open-world adaptability of model-free policies? We... Context & related coverage →
Amazon Web Services (AWS) has announced a major expansion of its AWS DevOps Agent, introducing new release management capabilities designed to assess code changes and autonomously test software before it reaches produ... Context & related coverage →
How LangChain mines agent traces to find failures, fine-tune judge models cheaper than frontier LLMs, and hill-climb performance with evals. Context & related coverage →
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it... Context & related coverage →
Deploying Large Language Models (LLMs) in high-stakes clinical settings remains limited by structural hallucinations, weak deterministic reasoning over tabular patient data, and omissions in vector retrieval. This pap... Context & related coverage →
Inference serving systems must balance throughput and latency under bursty, heterogeneous workloads, yet the industry standard remains static batching policies that require manual tuning and cannot adapt to shifting t... Context & related coverage →
Persistent personal agents combine long-term memory with access to users' external environments, enabling personalized foreground assistance and proactive background execution. This integration also creates a new path... Context & related coverage →
Learn how Schneider Electric built enterprise LLMOps foundations with LangSmith to improve observability, evaluation, and deployment for AI products at scale. Context & related coverage →
Aaron Erickson explains how NVIDIA designs and tests purpose-built AI agent hierarchies. For senior developers and architects, he outlines why balancing deterministic tools with agentic discovery is crucial. Discover... Context & related coverage →
Interpretability research on Claude's internal thoughts Context & related coverage →
Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on the critical path for reasoning, response time and lear... Context & related coverage →