Agentic AI Frameworks: What 370K GitHub Stars Reveal

The article explores the challenges in deploying agentic AI frameworks that shine in demos but stumble in real-world scenarios. Despite their impressive capabilities, these frameworks often fail to handle edge cases, maintain backward compatibility, and avoid subtle bugs, highlighting the gap between theoretical success and practical reliability. With a combined 370,000 GitHub stars, these frameworks are popular, yet their real-world failures underscore the need for more robust testing and integration strategies. Understanding these pitfalls is crucial for developers aiming to leverage AI effectively in production environments.