This video explains the concept of AI coding, differentiating it from "vibe coding." It outlines the evolution of software development into three eras and emphasizes the importance of embracing AI coding for future relevance. The video details different levels of AI coding tools, from basic IDEs like Cursor to more advanced coding agents, and stresses the necessity of human oversight and continuous learning to effectively leverage AI in software development.
The video mentions three eras of software development:
"Vibe coding" is defined as blindly using AI without any planning, review, or established process.
It is detrimental because it results in:
The video discusses three levels of AI coding tools:
Level 1: Integrated AI in IDEs (e.g., Cursor): This level involves using AI features directly within a coding environment. Cursor is highlighted as an example, offering capabilities like code autocomplete, editing code blocks with natural language commands, and an AI chat assistant for multi-file edits and application design. This level provides a significant advantage over standard manual coding through features like predictive text and intelligent editing.
Level 2: Coding Agents (e.g., Claude Code, Codex): This level introduces AI agents that have more autonomy. They can perform more complex tasks independently and can run for extended periods, even hours, potentially working on hundreds of files. These agents can be accessed through extensions, command-line interfaces (CLI), or cloud platforms, offering greater power and options for automating development tasks.
Level 3: Human-in-the-Loop Learning: This is presented as the most advanced and rewarding level. It focuses on using AI as a tool for personal learning and upskilling. Instead of delegating decisions to the AI, the developer uses AI to explore options, understand concepts, and then makes informed choices about architecture, technology stacks, and problem-solving. This level emphasizes learning the fundamental concepts of software engineering and system design, leveraging AI to accelerate this learning process.
The biggest mistake people make when starting with AI coding is not staying in charge and delegating all the decision-making to the AI.
This leads to:
