Top Hacker News discussion.
transluce
Context Window is the daily AI brief for applied AI builders. Subscribe free →
Thursday, September 24, 2026
Feature
Developers struggle with seamless transitions between AI agents, risking task failures.
Why it mattersAgent systems are evolving to include advanced memory architectures and proactive testing, addressing handoff failures. This shift challenges developers to balance innovation with the need for robust security and reliable performance in multi-agent workflows.
Read full article →Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Top Hacker News discussion.
transluce
Rogue OpenAI agent 'infiltrated' Australian government website in world first https://www.bbc.com/news/articles/c6vgy0333dppo
r/LocalLLaMA
Today in ACM Queue, researchers from DX, Capital One, GitHub, UVic, and Google published the CAFE(S) framework, providing "a diagnostic standard for improving AI agent effectiveness." The CAFE(S) framework introduces fi…
r/AI_Agents
Every sub-agent in a multi-agent setup can pass its own eval and the full run still ships a wrong answer. The failure lives in the seam between agents. It shows up whenever intent, constraints, or an artifact drifts on…
r/AI_Agents
I’ve been thinking about a problem that seems to become more important as AI agents get access to more tools and internal systems. An agent might need to work with things like company documents, customer information, in…
r/AI_Agents
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 145,450
为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」,桌面本身也是「插件」。
github | stars 28,861
Cost reduction isn’t a given. It also depends on the types of requests the application receives, the price difference between models, and how well the routing system performs. In this article, we are going to look at va…
blog.bytebytego
Recent advances in large language models (LLMs) have enabled agents to tackle long-horizon tasks across diverse environments. To further improve agent performance, existing language world models typically predict enviro…
arxiv
The growth of large language model (LLM) inference and search services increases the scale of online linear programming problems, motivating computationally efficient algorithms. We develop resource-adaptive stochastic…
arxiv
Benchmarking and routing platforms increasingly act as intermediaries connecting large language model providers with end-users. However, providers on these platforms typically use a fixed price per token, preventing use…
arxiv
LangSmith Engine now includes Red Teaming to proactively detect agent issues and automated agent testing. Learn more about the Engine v2 release.
langchain
An agent that answers a question is a starting point. An agent that completes useful work needs more: an interface users can interact with, memory beyond the current conversation, an appropriate environment for executin…
devblogs.microsoft
What we learned from three iterations of a performance engineering take-home that Claude keeps beating.
anthropic
Build a multi-account architecture that keeps each team's data in its own AWS account while giving AI agents a unified way to query across them. A central platform account runs the agent using Amazon Bedrock AgentCore G…
aws.amazon
Jim Gough and Andreea Niculcea explain how Morgan Stanley uses Architecture as Code with CALM to modernize its API program. They demonstrate integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) communicatio…
infoq
Pentest Harness — Heaven for Hackers. A self-hosted AI agent harness for authorized pentests, bug bounty, security labs, and CTFs. Bring your own AI model API; sessions stay local.
kitploit