How To Solve It With Code — Overview

2024-11-07 · Source: Jeremy Howard · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning · Depth: Intermediate, short

Summary

Fast AI has launched a new course, "How To Solve It With Code," designed to address the common challenge faced by new coders who use AI to generate large, often incomprehensible code blocks, leading to frustration. The course introduces an "AI-native" approach that focuses on iteratively building code with AI, enabling users to become more effective and productive coders. This method is suitable for individuals with basic Python knowledge, including variables, loops, and if statements, and aims to combine human expertise with AI for enhanced productivity. The program will be delivered as a live, eight-week beta course, meeting twice a week with office hours, and will utilize a custom-built tool to facilitate this new coding paradigm.

Key takeaway

For software engineers or AI students struggling with large, unmanageable AI-generated code, consider Fast AI's "How To Solve It With Code" course. This beta program teaches an iterative, AI-native coding approach to help you understand and master code, preventing the common "wall" of frustration. If you possess basic Python skills, this course offers a structured path to integrate AI effectively, enhancing your productivity and coding proficiency.

Key insights

Iterative, AI-assisted coding helps users understand and master code, preventing frustration from large, unmanageable AI-generated blocks.

Principles

• Ununderstood AI-generated code creates a "wall."
• Iterative AI coding builds understanding.
• Combine human expertise with AI for productivity.

Method

The course teaches an iterative, line-by-line, step-by-step approach to building code with AI, using a custom tool to foster understanding and skill development.

In practice

• Build code iteratively with AI.
• Use AI to improve coding skills.
• Integrate AI for enhanced productivity.

Topics

• Fast AI
• AI-Generated Code
• Iterative Development
• Python Programming
• AI-Native Coding
• Developer Productivity

Best for: AI Student, Software Engineer, AI Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Jeremy Howard.