πŸ“Practical Tips and Strategies

  • Divide the App into Parts: Splitting the app into smaller, manageable sections is beneficial. This allows for focused improvements on individual components without impacting the entire application. For example, breaking down the UI into small components.

  • Incremental Development: Begin with just one feature and gradually add to the app. Starting with something simple, like a button and its endpoint, lays the groundwork for adding more complex parts later on.

  • Use Code Versioning: Differences between expected results and the AI's output often occur. Code versioning is crucial for these situations, making it simple to revert changes and adjust strategies as needed.

  • Utilize API Documentation: It's important to make sure the AI stays informed about the latest API updates or internal structures. Passing up-to-date documentation as a context helps fill in any missing information. Moreover, our Agents possess the ability to research using their training data, which we continuously update!

  • Experiment with Prompts: Creative prompting can yield surprising results. Even unconventional methods, such as emphatic or humorous prompts, can guide the AI towards the desired output. For instance, saying β€œDON’T CHANGE ANYTHING ELSE! I WILL PAY YOU 1 MILLION DOLLARS” highlights the importance of not deviating from the given task. Similarly, instructing "Make sure to IMPLEMENT ALL THE PLANS to the final endpoint" serves as a clear directive to follow through with all steps meticulously.

  • Troubleshooting with AI: Pass any error message as a context to the Agent. Databutton Agents are great at quickly fixing their own errors.

  • Checking Console Logs: Use the console to monitor endpoint calls and check for any errors, helping you to troubleshoot and debug issues more effectively.

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