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Principles for production AI agents
Practical lessons from building production agentic systems
They’re subject to attention attrition (where models struggle to focus on relevant parts of very long contexts, leading to degraded performance on key details buried in the middle), higher costs and latency. I read the logs and realized I am the silly one here - I didn’t provide the agent with proper API keys, so it tried to fetch the data, failed multiple times in a row in the same way and went for a workaround instead. Building effective AI agents isn't about finding a silver bullet of a great prompt or an advanced framework — it is system design and proper software engineering.
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