GitHub Copilot Chat's Agent mode represents a major technological breakthrough for AI programming assistants. It allows the system to automate development tasks that involve multiple steps, such as "configure .env files and update related code references", a workflow that requires multiple operations such as file creation, code modification, dependency installation, and so on. Technically, Agent breaks down complex tasks into executable sub-steps that sequentially analyze code, generate change proposals, and implement changes.
Practical examples show that when dealing with the task of "adding test cases", Agent can automatically complete the following tasks: 1) analyze the logic of the code under test; 2) determine the boundary conditions of the test; 3) generate the test framework code; 4) fill in specific test cases. This level of automation is significantly better than traditional unit test generation tools, developers only need to finalize the changes can be confirmed. Microsoft's test data show that Agent mode can reduce about 40% of repetitive coding work, especially suitable for project initialization and large-scale refactoring scenarios.
This answer comes from the articleGitHub Copilot Chat: Microsoft open-sources VS Code-assisted AI programming toolThe
