José. T Guevara·19h agoSam Altman Wants Your RAM. Maybe There Is a Better Idea.From SETI-style distributed computing to a decentralized architecture for AI resources.
Byron Cabrera·2d agoKnowledge Layers for Agent Harnesses: Context Your Agents Can Discover on Their OwnWhen a team runs AI agents against its repositories at any real volume, the context an agent starts with is whatever its harness loads at…
InAI Engineering SimplifiedbyPranshu Gupta·3d agoYou Don’t Need a Better Prompt , You Need a Better ArchitectureA capable AI model alone cannot safely access company systems, remember progress, recover from errors, or coordinate a complex process…A response icon1A response icon1
Surya Sethuramasamy·4d agoStop Thinking About Chatbot Systems. Start Thinking About Super-Agent Systems.The next evolution of AI isn’t just about building agents that answer questions. It’s about building systems that continuously understand…
Agent Native·4d ago6 Open-Source Projects for Serious AI InfrastructureIf you are building agents that need to run somewhere other than a notebook, these six open-source projects are worth knowing.A response icon1A response icon1
Agile Actors·4d agoAI Lessons From The Work Not The Hype — Part 6The Most Expensive AI Architecture Is Often the One That Sends Everything to the Model
Mihir Jha·4d agoEngineering the AI Agent RuntimeSeries: Enterprise AI Systems Architecture Phase: — AI Agents
Intellect Design Arena·4d agoAI can write your enterprise’s code. Can it explain the consequences?In this article, Deepak Dastrala explores why AI-driven code generation exposes deeper architectural bottlenecks
Navaneethan L·4d agoRetrieval System Design: Beyond the BasicsThe “chunk the PDF, embed it, stuff the top 3 chunks into the prompt” pipeline has a well-defined ceiling.
