This video provides an introduction and demonstration of "Solve It," an interactive coding environment designed to facilitate a collaborative dialogue between the user, live executable code, and an AI assistant. Positioned as a Jupyter-style REPL, Solve It allows users to write and execute code, define variables, and then seamlessly involve an AI that can interact with the existing environment, use Python tools, and assist with tasks. The presenter showcases several practical use cases, including web scraping, exploring machine learning models, recreational mathematics, and data analysis for a civil engineering problem. The core philosophy emphasizes an iterative, exploratory programming style where the human remains in control, using the AI as a powerful assistant rather than a replacement. The tool is presented as an embodiment of the fast.ai teaching methodology, focusing on small, understandable, incremental steps.
Solve It: A Collaborative AI Coding Environment
0:00:03 What is Solve It?: Solve It is an interactive coding application that functions as a three-way dialogue between the user, live executable code, and an integrated AI assistant. It operates like a Jupyter-style REPL (Read-Eval-Print Loop) where code is live and interactive.
0:00:38 AI as a Collaborator: The AI can be given Python tools, allowing it to interact with the user's code, modify variables, and assist in the same environment. This creates a seamless workflow between the user and the AI.
0:01:03 Practical Use Cases: The video demonstrates several real-world applications:
Web Scraping: The user does the initial exploration, then asks the AI to write code to extract specific data from page content.
ML Research: Using the app as a "computational playground" to load and experiment with machine learning models.
Recreational Math: Solving problems while the AI assists by providing formal terminology for concepts and generating plotting code (e.g., matplotlib) for visualization.
Data Analysis: Loading a file for a civil engineer and using the AI to write a regular expression to parse data and find the convex hull of a set of points.
0:02:48 User-Driven Workflow: The key principle is that the user remains in control, performing the primary exploration and problem-solving while using the AI as an assistant to handle tedious tasks (like writing regex or plotting code) or to get unstuck. The user validates the output at every step.
0:03:15 A Different Approach to AI Coding: Solve It promotes an iterative and exploratory programming style focused on small, understandable steps. This contrasts with other AI tools that aim to replace the human programmer.
0:03:48 How to Access the Tool: The tool is being featured in a new course titled "How to Solve It with Code." Following the course, the plan is to offer a pay-as-you-go subscription for cloud access to the platform.