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.

Programming language design is facing challenges due to the rise of large language models (LLMs), which can generate code that reduces the need for domain-specific languages (DSLs). As LLMs become more efficient with popular languages, the investment in creating DSLs may deter developers, leading to potential stagnation in language design. The article explores ways in which DSLs can adapt and coexist with LLM advancements, suggesting new approaches to language design that leverage the strengths of both.

Go programming language is characterized by its 80/20 design, offering 80% utility with only 20% complexity, which leads to criticism from those seeking more features. While many languages continually add complexity and features, Go maintains its simplicity, allowing for broader usability and efficiency in development. The article contrasts Go's approach with other languages, highlighting the trade-offs between utility and complexity in programming design.

The article explores a hypothetical programming language that eliminates traditional boolean values, replacing them with options and results to streamline conditional logic. It discusses how this change can lead to a more coherent design of conditionals, making them more expressive and less verbose. The author draws parallels to existing constructs in Rust and other languages, emphasizing the potential benefits of this approach.