Smith-AI code analysis tool

Example

A user provides a Python script with a syntax error in a for-loop. Smith quickly identifies the mistake (missing colon) and fixes it, explaining why the colon is required in Python’s loop syntax.

Scenario

A developer writes a script in a hurry and forgets to add a necessary syntax element, resulting in a runtime error. Smith assists in identifying the issue and correcting it without requiring the developer to spend excessive time debugging.

Example

A user writes an inefficient algorithm that sorts a list of numbers using bubble sort. Smith suggests replacing the bubble sort algorithm with a more efficient merge sort or quicksort, and provides a detailed explanation of the time complexity differences.

Scenario

A beginner programmer submits a functional but inefficient piece of code. Smith not only ensures the code runs but also suggests enhancements to make the code more efficient, improving the user’s coding knowledge in the process.

Example

A user has written a basic web scraper but realizes it lacks error handling. Smith suggests adding a try-except block to manage potential exceptions like connection timeouts and provides code snippets to implement this feature.

Scenario

A user wants to expand their existing code’s functionality but is unsure how to go about it. Smith proposes new features (e.g., logging, input validation, or asynchronous execution) and offers examples of how to integrate them, empowering the user to make their code more robust and versatile.