Using AI as a Senior Developer: A Guidance Approach
The article discusses a senior developer's approach to leveraging AI, particularly large language models (LLMs), to enhance their development workflow. It covers prompting strategies, multi-step implementation processes, and ways to guide the AI to focus on core tasks.
Why it matters
This guidance on using AI as a senior developer can help improve productivity and efficiency in software development workflows.
Key Points
- 1Provide specific instructions and high-level reasoning to LLMs to get better results
- 2Adopt a multi-step approach: preparation, planning, sketching, exclusion, implementation, and demo
- 3Refine the AI-generated code by reviewing and providing feedback in chunks
Details
The article emphasizes the importance of giving LLMs clear and specific instructions, as opposed to relying on them to read the developer's mind. It suggests using the 'xHigh' setting in tools like Copilot, which takes longer to generate output but is more on-point. The author outlines a multi-step process to effectively utilize AI in development: starting with preparation and planning, then sketching the implementation using interfaces and abstract classes, excluding unnecessary components, and finally implementing the core functionality. The key is to review the AI-generated code, provide feedback, and refine it iteratively. This approach helps the developer maintain control and ensure the AI-assisted implementation aligns with their vision.
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