Agentic AI Frameworks: What 370K GitHub Stars Reveal (opens in new tab)

Your agent worked brilliantly in the demo. It generated clean code, wrote tests, even added documentation. Then you submitted the PR and three things went wrong: it misunderstood the edge case handling, broke backward compatibility, and introduced a subtle race condition your manual review caught. You're not alone. The gap between "can complete task" and "reliably completes task in production" is where most agentic AI attempts fail. Three frameworks with a combined 370,000 GitHub stars (LangC...