AI news for platform & agent engineers
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One shared ranking. Scan what changed, save what matters, and stop when the finish line appears.
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AWS has open-sourced Dogwood, a policy language extending Cedar with temporal conditions so rules can reason about an agent's prior tool calls rather than one request in isolation. It covers approvals, rate limits and... Context & related coverage →
I built rNet. Why I built ? : I was using both an agentic IDE and a Hostinger deployment agent. One day, I ran out of credits on the deployment agent. To keep using it, I either had to wait for credits to reset or upg... Context & related coverage →
Amazon DynamoDB recently introduced native vector search, allowing developers to store embeddings alongside application data and run approximate nearest-neighbor queries directly from DynamoDB without using a separate... Context & related coverage →
DeepSeek and Alibaba Open Access to AI Models, Competition Gets Tighter VOI.ID Context & related coverage →
Tool: CORS Chat I built this today ( with GPT-5.6-Sol xhigh ) to help test Qwen 3.8 27B running in LM Studio on both my M5 MacBook Pro and an NVIDIA DGX Spark. It provides a web UI for exercising an OpenAI-Responses-c... Context & related coverage →
Release 0.148.0-alpha.20 Context & related coverage →
Embodied intelligent virtual agents are expected to operate as persistent, adaptive, and context-aware entities within complex virtual and Metaverse worlds. However, implementing cognitively capable agents in such env... Context & related coverage →
Flue 2 takes its inspiration from React. Creator Fred Schott, of Astro fame, tells Latent Space why he added hooks and why agents are defined by their harnesses. Context & related coverage →
Scientific discovery increasingly requires AI systems that can reason over scientific evidence of heterogeneous modalities, interact with scientific tools and environments, and sustain progress across long task horizo... Context & related coverage →
AI agents are increasingly used for programming, but do not provide any guarantee on the correctness of generated code. Verified code generation, in which an agent produces both an implementation and a machine-checked... Context & related coverage →
An End-to-End Project With Dataset Construction, Model Training, Local Deployment, and RLVR Context & related coverage →
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth. Context & related coverage →