AI news for platform & agent engineers
Ranked signal · finite reading
One shared ranking. Scan what changed, save what matters, and stop when the finish line appears.
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Hi HN! We’re Theodore and Louis, founders of Armature (YC P26). We reconstruct the entire session behind the MCP tool calls you receive, including what the user asked their agent to do and what the agent thought. You... Context & related coverage →
Microsoft's Agent Framework now ships a supported runtime. Build 2026 brought the Agent Harness, the GitHub Copilot and Claude Agent SDK connectors, and the orchestration patterns to stable release; the harness and Fo... Context & related coverage →
HubSpot has redesigned its Just-In-Time Access (JITA) authorization system using a rule engine architecture. The system evaluates access requests through independent rules organized as a directed acyclic graph, adding... Context & related coverage →
Set up a nightly cron job that executes the prompt: fetch upstream changes to the and rebase all local changes on top of upstream. Check that the software works as intended and replace the current version. — David Cra... Context & related coverage →
Chinese Actor Weaponizes DeepSeek AI Agent Against Security Firm Dark Reading Context & related coverage →
Learn why coding agent bills spiral out of control — and how to trace, compare, and govern spend across Claude Code, Cursor, Copilot, and more in one place. Context & related coverage →
Learn how Stripe built Kai, a company-wide AI agent on LangChain, LangGraph, and Deep Agents, reaching 5,000 users in roughly 4 weeks. Context & related coverage →
Release 0.147.0-alpha.1.2 Context & related coverage →
Open letters about AI development I wrote this summary of the past few weeks of open letters as a section of my sponsors-only newsletter but I've decided to share it here as well. Open Weights and American AI Leadersh... Context & related coverage →
Scaling our curation and measurement of the open ecosystem. Context & related coverage →
Enterprise workflows increasingly rely on agents for \emph{schema-guided extraction}: given a document and a user-defined schema, the agent faithfully follows the schema to produce the correct output with source evide... Context & related coverage →
Deploying large language models in realistic server environments poses challenges, as the system needs to provide high-quality responses with low latency. Quantization is a common approach to reduce the memory footpri... Context & related coverage →