Instructor
About Instructor
Instructor makes it easy to get structured outputs from LLMs using Python type hints. Define a Pydantic model and Instructor handles the prompting, validation, and retrying to guarantee valid structured data.
Screenshot
Use Cases
Write and review code faster with AI
Autocomplete code in real time
Generate unit tests automatically
Debug errors with AI assistance
Pros & Cons
Pros
Completely free to use
Developer API for custom integrations
Speeds up the development cycle notably
Cons
Suggestions need review for edge cases
Works best on well-structured codebases
Outputs benefit from human review