How to Make Claude Code Validate its own Work

To improve the performance of the Claude Code model, it can be prompted to validate its own work. This approach allows the model to iterate on a problem until a correct output is achieved, resulting in better one-shot implementations and the ability to complete more complex tasks. One practical example involves splitting a large LLM call into smaller ones and having Claude verify that the combined output matches the original monolithic call's expected result. Another example shows Claude implementing a visual webpage design by taking screenshots of its work, comparing them to the target design, and iterating until they match.