Why AI Agents Need Agile, Not Just Better Prompts

6 hours ago

Prompts can achieve an initial successful demonstration of an AI agent but fail in real-world use, like in loops or incorrect tool calls.
AI agents are complex loops involving planning, tool usage, and decision-making, making them prone to drift between steps, unlike single-call systems.
Prompt engineering can create a false sense of completion, but agents require iterative development, similar to Agile methodologies, to handle unforeseen issues.

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