Chain-of-thought prompts for auto-code generation

Chain-of-thought prompts for auto-code generation refer to a technique where the user employs a combination of single-line or multi-line prompts to provide step-by-step instructions. Code assistants then use an LLM to automatically generate code for each step individually. Users can use multiple natural language prompts that can link together to solve complex requirements. These prompts can be chained together to guide the model to produce relevant targeted code. It’s an effective technique to divide complex coding tasks into smaller code fragments by providing simple prompts to the code assistant one at a time. The code assistant can use each prompt to generate more tailored code fragments. Ultimately, all the code fragments can be used as building blocks to solve the complex requirement.

Here are some key points about chain-of-thought prompts for auto-code generation:

• Chain-of-thought prompts are a technique in which...