ChatGPT was lobotomized for coding and GitHub Copilot is broken...
Dec 8, 2024
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David Shapiro, a dedicated AI developer, dives into the world of coding assistants and automation. He shares his frustrations with existing tools, leading him to create a personal chatbot designed for coding tasks. Listeners will learn about its impressive error handling and contextual understanding. Shapiro also discusses a straightforward setup for this coding assistant, emphasizing the importance of documentation and inviting feedback for improvements. His journey showcases the innovative spirit driving AI development.
The development of a customized coding assistant allows developers to regain control and address frustrations with existing AI coding tools.
Incorporating best practices like a scratch pad and dynamic inputs significantly enhances the functionality and usability of the coding assistant.
Deep dives
Creating a Custom Coding Assistant
The episode highlights the development of a customized coding assistant to address frustrations with existing coding tools like ChatGPT and GitHub Copilot. By setting clear parameters for the assistant, the developer was able to prompt it to generate Python code specific to their needs. For instance, when instructed to write a function that loads files from a folder and returns them in groups of five, the assistant provided the exact output required. This hands-on approach allowed the developer to regain control over their coding tasks and efficiently solve problems that existing AI tools struggled with.
Implementing Effective Coding Practices
The coding assistant incorporates several best practices to enhance its functionality and usability. Notably, it uses a 'scratch pad' feature that allows users to update their inputs dynamically without disrupting the conversation flow. By adjusting the placement of the system message to the end of the chat history, the assistant maintains adherence to instructions throughout the session. These design choices, along with error handling mechanisms and efficient conversation management, contribute to its effectiveness and user-friendliness.
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