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Description
Description
Working on small chunks of code with less context can lead to improved Copilot's output. Imagine you're building a complex application with several interconnected components. Instead of trying to generate everything in one go, you break down the task into smaller parts, providing a confined context for Copilot. This approach not only streamlines the development process but also enhances the quality of the generated code.
Some ideas consider context-less architecture in the design phase, but it is difficult to apply a loosely coupled architecture to every project.
Also, changing the architectural design to improve the accuracy of AI tools is not the way to go. This pattern aims to improve GitHub Copilot's proposal by at least working in small chunks so that the context is as small as possible in the working environment, so that GitHub Copilot does not become overwhelmed by the complexity of the overall project. more controlled, accurate, and efficient code generation that allows you to understand the specific tasks of the clues.
https://www.ai-native.dev/docs/design-patterns/working-on-small-chunk
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