How to Build AI Agents That Actually Learn From Their Mistakes
Dev.to AI
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Generative AI
Most AI agents you build today will fail in the same way tomorrow. You patch the prompt, it works, and a week later a slightly different version of the same task breaks again. The agent has no memory of what worked or what failed. Every request starts from zero. This is the core limitation of static LLM pipelines. Three techniques fix it - and they are fundamentally different in cost, complexity, and the class of problems they solve.