Building AI Agents: A Software Engineering Challenge, Not Just ML
· 6 min read
AI agents are becoming essential for automation, decision-making, and intelligent task execution. While some envision a future where AI autonomously builds its own agents, the current reality is different. Today, building effective AI agents is still a software engineering challenge - one that requires careful design, the right frameworks, and seamless system integration.
The misconception? Many believe that AI agents require machine learning expertise. But in reality, building AI agents is more like developing microservices - it's about structuring software components, defining APIs, and ensuring smooth communication between systems.