According to DeepLearning.AI, their newly launched DSPy: Build and Optimize Agentic Apps course, created in partnership with Databricks, directly addresses key technical barriers in agent development such as brittle prompts, ambiguous intermediate steps, and significant performance drops when switching AI models (source: DeepLearning.AI Twitter, June 4, 2025). For crypto traders and quantitative developers, mastering these skills is critical, as the reliability and adaptability of automated trading bots depend on robust agentic architectures. Enhanced agentic apps can drive higher trading execution accuracy and resilience across volatile crypto markets, especially when adapting to new or updated language models.