Top Hacker News discussion.
frontierharness
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Feature
Microsoft's release stabilizes orchestration layers, offering flexible coordination patterns for AI agent systems.
Why it mattersAgent systems are shifting towards more stable and flexible orchestration patterns, allowing developers to focus on building adaptable workflows. This shift highlights the importance of decoupled, stable interfaces as a means to future-proof AI systems against evolving model capabilities.
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.
frontierharness
If you use GitHub Copilot Agent, you know it often wastes a lot of tokens and context just wandering around your workspace trying to figure out which files to look at. Copilot Bill Saver The VS Code extension is designe…
r/nocode
Hi all, I have an interesting idea on good and more reliable use of AI, I wonder what you all think of it. It's about using AI just for extracting a config from the user and then plugging in that config in a pre-built s…
r/nocode
I'm the founder of TestPilot, and I want to be upfront about that before anything else. --- Here's the thing I kept running into as a no-code builder: you finish the app, it looks right, you click around a bit, it seems…
r/nocode
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 121,137
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base S…
github | stars 34,093
Top Hacker News discussion.
github
In this article, we’re going to look at how this embedding model works in an RAG setup and what makes it such a critical part of the system.
blog.bytebytego
An operating model for enterprise AI agent reliability
thoughtworks
Interactive simulations increasingly evaluate policies in markets populated by language-model agents. Their outputs can look economic---prices, profits, consumer surplus, and welfare---without instantiating the behavior…
arxiv
Model-based reinforcement learning (MBRL) has achieved remarkable results in single-agent domains, yet its extension to competitive imperfect information games (IIGs) remains underexplored. In multi-agent settings, oppo…
arxiv
The growing rate at which LLM agents interact with one another raises key questions about language evolution in multi-LLM-agent settings, with implications for safety and monitorability as well as for linguistic account…
arxiv
Python’s agent-framework-orchestrations package is now 1.0.0. That puts Microsoft Agent Framework’s orchestration layer at 1.0 across Python and .NET. Sequential, concurrent, group chat, handoff, and magentic orchestrat…
devblogs.microsoft
Harnesses encode assumptions that go stale as models improve. Managed Agents—our hosted service for long-horizon agent work—is built around interfaces that stay stable as harnesses change.
anthropic
Dive into LangSmith product usage patterns that show how the AI ecosystem and the way people are building LLM apps is evolving.
langchain
Learn how University Startups and its AWS partner g/d/n/a scaled Trinity, a conversational AI solution for students with disabilities, into a serverless multi-agent architecture on Amazon Bedrock that produces IDEA-alig…
aws.amazon
Release: llm-gemini 0.34 New model gemini-3.8-flash for Gemini 3.8 Flash , with low, medium and high thinking levels. #146 Fixed async responses failing to record the resolved model version. Thanks, Charlie Tonneslan .…
simonwillison
Learn how Microsoft Agent Framework channels connect .NET AI agents with Telegram, A2A, MCP, and other communication systems while maintaining a scalable enterprise agent architecture.
c-sharpcorner