If Dspy is so great, why isn't anyone using it?
5 hours ago
- #AI Engineering
- #DSPy
- #Prompt Management
- DSPy promises to solve major AI engineering challenges but is underused due to its complexity and unfamiliar abstractions.
- Teams often end up building their own flawed versions of DSPy through stages of prompt management, structured outputs, retries, RAG, and evaluations.
- DSPy simplifies AI system development with typed I/O, composable modules, and optimizers, making it model-agnostic and maintainable.
- Good engineers write bad AI code due to weird feedback loops, pressure to ship, and unclear boundaries between prompts and code.
- The article suggests either adopting DSPy after overcoming its learning curve or deliberately incorporating its patterns from the start.