How I Get Better Results from Claude Code

AI coding assistants like Claude Code can significantly speed up development, but their effectiveness depends on how well you provide context and structure. At NRI Dating, the author has found that creating a better workflow around the tool has been key to improving results. Here are some practices that have made a big difference:

1. Give Claude Code the bigger picture by explaining the feature's role in the application. For instance, instead of simply requesting an interface change, provide details about how the feature should behave and interact with existing functionality.

2. Store project instructions in a repository so that relevant details like technology choices, directory conventions, and naming conventions are readily available. This saves time by reducing the need to repeat information in every conversation.

3. Before making changes, ask Claude Code to inspect the existing codebase. This helps ensure that the assistant understands the current implementation and only makes necessary modifications.

4. Describe the desired outcome rather than focusing on specific code implementation. For example, explain what users should experience and how the feature should fit into the overall user experience.

5. Break down large features into smaller stages, such as inspecting the system, proposing the implementation, making database changes, and testing the complete flow. This approach helps catch misunderstandings early and prevents a messy, all-at-once implementation.

6. Be clear about what the AI should not do, such as adding unnecessary dependencies or making extensive refactors. These constraints help maintain the project's original structure and avoid unnecessary changes.

7. Use screenshots to clearly communicate visual requirements, especially for frontend work. A picture can often convey a problem more effectively than words alone.

8. After implementing a feature, test the complete flow, including validation, authorization, error handling, and existing functionality. This ensures that the changes do not introduce new issues or break existing behavior.

9. Keep changes reversible by maintaining backups and snapshots before significant modifications. This precaution allows you to experiment confidently without the fear of irreversible damage.

10. Lastly, be explicit about what the AI is responsible for. Instead of asking for general help, provide clear instructions on the specific task you want the assistant to handle.