Let’s be honest: we’ve all been there. You’re deep into a sprint, building a shiny new feature powered by a Large Language Model LLM. You feed it a complex prom...
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Bring your preferences and context to Claude Bring your preferences and context from other AI providers to Claude. With one copy‑paste, Claude updates its memo...
Persistent Memory — Why It Matters Persistent memory doesn’t just store notes for an LLM; it shapes how the LLM thinks about problems. The same model, same pro...
Shift from Chatbots to Autonomous Agents The world of Large Language Models LLMs is shifting. We are moving from simple chatbots that just “talk” to autonomous...
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Introduction I’ve spent more than two decades designing enterprise systems, living through SOA, cloud, big data, microservices, and DevOps—each promising trans...
Everyone's talking about RAG. Before I built one myself, it sounded really fancy. I knew it had something to do with providing documents to AI, and honestly, I...
The Reusable Skill Revolution We've seen this pattern before. Developers used to write custom code for every single feature. Then npm changed everything—you co...
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Best OpenClaw Setup: Optimizing Agents for Efficiency and Effectiveness If you are running OpenClaw agents, you have probably noticed that not all setups are cr...
How AI Agents Actually Choose Tools Someone on Hacker News asked this week: “How do you actually optimize for agent discovery?” They noted that with humans you...
