The author discusses the transformative impact of AI on programming, highlighting how advanced language models can now handle substantial coding tasks with minimal human intervention. While acknowledging the potential for job displacement, the author emphasizes the importance of adapting to these changes and using AI as a tool to enhance creativity and productivity in software development.

• Modern LLMs can now autonomously complete substantial, non-trivial coding tasks that previously required significant human effort, marking a real shift rather than incremental improvement.
• The threat to programming jobs is real, but the bigger risk is refusing to adapt rather than AI itself.
• Treating AI as a collaborative tool—rather than a replacement or a threat to resist—lets programmers amplify their own creativity and output.

The author shares their experience of creating Beep, a fictional programming language, in collaboration with the AI tool Claude Code. Through detailed examples, they explore features like lexical and dynamic scoping, as well as the AI's assistance in solving complex programming challenges and refactoring code.

• Claude Code built a working interpreter for "Beep," a made-up language with unusual scoping rules, largely autonomously from a spec.
• It handled the tricky distinction between lexical and dynamic scoping correctly, including edge cases the author hadn't fully worked out themselves.
• The AI could refactor and extend the codebase iteratively, adjusting to new requirements without breaking existing functionality.
• The author frames this as evidence that Claude Code is useful for genuine software design/problem-solving, not just boilerplate code generation.