Nowadays, Everyone wants to use a Ferrari on an Agricultural Field👇 We're seeing this exact trendNowadays, Everyone wants to use a Ferrari on an Agricultural Field👇 We're seeing this exact trend
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Nowadays, Everyone wants to use a Ferrari on an Agricultural Field👇
We're seeing this exact trend in software engineering - using AI agents for problems that are often better solved with robust systems programming and automation.
However, I'm not saying "never" use AI agents.
When we talk about open-ended reasoning, complex multi-step decision making, unstructured workflows, or tasks where human judgment must be approximated, the narrative changes. In these scenarios, AI agents can be transformative.
But many teams are now deploying agents to solve problems that are fundamentally deterministic.
Need to process millions of events reliably? Build better systems.
Need to reduce operational workload? Automate the workflow.
Need to eliminate repetitive manual tasks? Invest in tooling and infrastructure.
A well-engineered system can often eliminate 90% of the work that people are trying to solve with layers of prompts, agents, evaluators, and orchestration frameworks.
In these cases, the real leverage doesn't come from adding more intelligence—it comes from removing unnecessary complexity.
But the mistake is applying the "AI Agent" requirement to everything. When we reach for agents before understanding the underlying system, we trade →
Predictability for probabilistic behavior.
Operational simplicity for orchestration complexity.
Long-term reliability for short-term excitement.
Engineering fundamentals for prompt engineering.
True engineering isn't about using the trendiest technology—it's about identifying the root problem and applying the simplest tool that solves it effectively.
Sometimes the answer is an AI agent.
But surprisingly often, the answer is a better system.
Are we building AI because the problem genuinely requires intelligence, or because we've forgotten how much leverage good systems engineering can provide? I'd love to hear your thoughts.
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