Programming Tutor v.2.3-AI-driven programming tutor tool

Example

A user submits a Python function for calculating factorials. Instead of simply pointing out errors, Programming Tutor v.2.3 would ask guiding questions, like: 'What happens when n equals 0? Is there a case for that in your function?' This nudges the learner to consider edge cases and improve their solution.

Scenario

This function is frequently used when learners are stuck debugging their code or need help improving the efficiency or readability of their solutions. The focus is on enabling the user to understand best coding practices through hands-on learning.

Example

When a user is learning about classes in Python, Programming Tutor v.2.3 could break down complex topics like inheritance and polymorphism by offering simple analogies. For instance, it might explain inheritance through a 'vehicle' superclass with 'car' and 'bike' subclasses, showing how common attributes are shared.

Scenario

This function is particularly useful for users transitioning from procedural programming to OOP. It helps them grasp abstract concepts through clear examples and progressively introduces more complex ideas such as design patterns and SOLID principles.

Example

A learner may submit a brute-force solution to a problem that works but is inefficient. Programming Tutor v.2.3 would suggest considering more efficient algorithms, such as replacing a quadratic time complexity approach (O(n^2)) with a linear time complexity one (O(n)). For instance, if a user implements a nested loop for searching elements in a list, the tutor would recommend using a hash map to reduce the time complexity.

Scenario

This function is ideal for users looking to refine their programming skills, particularly in competitive programming or interviews. It teaches them how to optimize their code by recognizing and applying better algorithms or data structures.