The Python Function That Implements Itself

What if you could write a Python function where the docstring is the implementation? You define the inputs, the return type, and you write the validation logic that defines what "correct" means. AI handles the rest. That's the programming model behind AI Functions, a new experimental library from Strands Labs. Strands Labs is a new GitHub organization where experimental features of the Strands Agents SDK are being built in the open. With AI functions you still write the validation logic, but instead of implementing the function itself, you let the AI handle generation and self-correct against your checks. A Different Way to Write AI-Powered Code Most AI-powered code follows the same pattern. You call the model, parse the response, write validation checks, handle errors, and retry when things go wrong. It's tedious boilerplate that everyone writes slightly differently. AI Functions inverts this pattern. You write a function signature, a docstring that serves as the prompt, a return type