Agentic AI Beyond the Hype: Why the Boundaries Are Key in Deterministic and Non-Deterministic Behavior for AgentsLet’s imagine we are implementing deterministic behavior for agent systems using control techniques (harnessing). Suddenly, we observe that the agent's actions and responses begin to become clumsy, an2JBSep 16 · 4 min readdesignednotmagic.hashnode.dev
LLMs and Tokens Beyond the Hype: Why Smaller Models Might Be the Better Architectural ChoiceWhen we choose and LLM, our first instinct is to pick the newest and largest model available. It's smarter, more capable, and tops every benchmark leaderboard. But is this an architectural desition? Jul 20 · 3 min readdesignednotmagic.hashnode.dev
Agentic Systems Beyond the Hype: Why You Need Both Local and Global Perspectives to Build Agentic SystemsHaving both local and global perspectives is one of the most valuable skills a software engineer can develop. We learned this lesson in distributed systems and cloud computing, where the behavior of aJun 14 · 4 min readdesignednotmagic.hashnode.dev
Challenges and Agent Behavior in Collaborative Swarm Environments.Bigger models tend to perform better for a specific task in a collaborative swarm environment. This could be because the model's training is optimized for efficiency and task completion. This could meJun 8 · 3 min readdesignednotmagic.hashnode.dev
Building Pong with ABI Swarm: Why Small Models May Be Better OrchestratorsAfter several months building ABI Swarm, I finally reached a point where I could observe a complete swarm executing a real software task from beginning to end. The task itself was intentionally simpleMay 30 · 3 min readdesignednotmagic.hashnode.dev
