Why Agentic Inference Needs Prefix-Aware Routing Infrastructure
In the second of a three-part series on agentic AI, learn how prefix caching and cache-aware routing reduce time-to-first-token for agentic inference.
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In the second of a three-part series on agentic AI, learn how prefix caching and cache-aware routing reduce time-to-first-token for agentic inference.
The first of a three-part series on agentic AI. Production AI agents depend on more than model quality. Learn how multi-turn tool calls, bursty demand, and infrastructure shape performance.
Learn how one Sonar squad built a three-layer review process for AI-generated code, SonarQube analysis, Gitar, then a human reviewer. Read the case study.
Gemini 4 Argon can output a million tokens in one response. Here's why that ceiling matters for test-time compute and long agent runs.
Learn how to use Amazon S3 Vectors as the persistent memory layer within the NVIDIA NeMo Agent Toolkit (NAT), deployed on Amazon Elastic Kubernetes Service (Amazon EKS).
Article URL: https://blog.cloudflare.com/clef-decision-models/ Comments URL: https://news.ycombinator.com/item?id=49923692 Points: 218 # Comments: 78
Amazon Web Services Inc.’s Strands Labs team has been playing around with an emerging class of lightweight artificial intelligence systems known as “decision models,” and it’s now making the fruits of that work available to the open-source community.
Give a coding agent a bounded dependency patch with explicit compatibility checks and review requirements.
A survey of US shoppers in 2026 found that 57% would let an AI agent switch brands if it found better value. More than half — 51% — said they’d let AI handle the entire purchase process from research to checkout.
We study the generation of agentic workflows that jointly optimize multiple objectives, such as accuracy, cost, latency, robustness, and consistency. Existing methods for workflow generation typically optimize accuracy alone or a weighted sum of objectives, so each trained generator commits to one…
Build your own agent platform on DigitalOcean MicroVMs: isolated Firecracker VMs that pause when idle and resume with state intact. Now in private preview.
AI agent orchestration explained: the coordination patterns, how it works at production scale, and when to build on a framework versus buy a platform.
Stopping the model is only the beginning. The real test is whether everything it set in motion stops with it.
Cohere released Embed 5 on Wednesday, giving teams the option to index data with Embed 5 Pro and query those The post Cohere’s faster query model barely dents retrieval quality in its tests appeared first on The New Stack.
How the saga pattern helps AI agent recovery in multi-step workflows Your AI agent got three steps right, then failed on the fourth. The order exists, the card may be charged, the customer might already have an email, and the CRM is now out of sync.
TL;DR PyTorch’s Cross-Repository CI Relay (CRCR) gives out-of-tree accelerators a clean, scalable way to plug into upstream CI – and it leaves each backend free to decide which of PyTorch’s...
We’ve upgraded the AI models used across Instafill.ai to GPT-6 Sol, the latest Sol model in OpenAI’s GPT-6 family. The upgrade is already live across every Instafill.ai account, and there’s nothing you need to change on your side.
Connect a LangGraph agent to Apify through the official langchain-apify integration or Apify MCP Server, and give it real-time web search, scraping, and social media data.
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