Deep Dive
Introduction to AI agents: beyond simple LLMs
Understanding what an AI agent is, how it works, how it differs from a plain language model, and how to architect a first agent with tools.
azrod.me
Welcome. This blog is a space for technical reflection on AI agents, DevOps and modern software architecture. Articles are written in French and English.
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Your agents don't need memory
In a codebase that serves as the source of truth, everything an agent needs to 'know' should be mechanically verifiable. Giving your agents memory is patching in prose what should be encoded in the harness.
Brève
Harness engineering: what Anthropic and OpenAI are actually doing with their agents
Anthropic and OpenAI published their harness engineering post-mortems weeks apart. Different problems, same conclusions — here's what to take away.