Using AI tooling for code review

The utility of Claude Code in reviewing programming concepts, particularly for generating examples and counterexamples, has proven to be significantly beneficial. The person highlights how Claude Code excels in creating (counter)examples for diagrams, an area where they personally face challenges. This capability is especially useful when dealing with conditional statements that are not immediately clear. By posing queries to the language model, it reliably produces examples that elucidate these conditions, sometimes requiring iterative refinement but ultimately achieving accurate results.

The effectiveness of Large Language Models (LLMs) like Claude Code is underscored in their ability to handle verifiable information. The generation of counter-examples is a key feature, fitting well into the paradigm of seeking verifiable outputs from such models. This approach not only aids in understanding complex programming concepts but also enhances the learning process by providing tangible examples that can be verified for accuracy.