AI-Assisted Programming: Closing the Loop from Requirements to Pull Request

Over the past year, as an AI application practitioner deeply involved in the technical field, I have witnessed a silent revolution in programming paradigms. Once, programming was the art of "translation"—translating human business logic into code that computers understand; today, with the rise of Large Language Models (LLMs), programming has become a "dialogue."

For independent developers and small teams, the biggest pain point is never writing the code itself, but the huge gap between a "vague idea" and "executable code," along with the tedious ensuing work like documentation maintenance and writing test cases. This article will demonstrate how to use AI to bridge the complete closed loop from requirement analysis and code implementation to submitting a PR (Pull Request), freeing you from heavy manual labor to focus on creating value.

1. The Invisible Pain Points of Independent Developers

After communicating with numerous independent developers, I found that everyone generally faces the following three "efficiency killers":

1. The "Cold Start" Difficulty of Requirement Implementation: Facing a new feature, one often stares blank