AI Engineers Ditch LangChain for Native Architectures as Production Failures Expose Framework Weaknesses
AI engineers are ditching LangChain and similar frameworks for native agent architectures, as production failures reveal critical flaws including poor debuggability, hidden failure points, and compounding latency issues that make reliable, SLA-compliant AI systems nearly impossible to maintain.