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In what key way does GitHub Copilot Agent Mode differ from traditional AI-assisted coding tools?
It exclusively relies on user-provided step-by-step instructions to generate code.
It dynamically analyzes entire projects, autonomously performs multi-step tasks, and iteratively refines its outputs.
It primarily suggests code snippets based on the immediate context of a single open file.
It provides real-time inline suggestions but cannot autonomously refactor or execute code.
Which approach describes how GitHub Copilot Agent Mode iteratively improves its generated solutions?
It suggests initial solutions, then requires manual developer intervention to run tests and debug.
It automatically identifies issues through testing, autonomously corrects errors, and repeats the cycle to refine the solution.
It only generates code once per task and relies on manual review to make improvements.
It delegates all code improvements entirely to external testing frameworks and does not autonomously address failures.
You instruct GitHub Copilot Agent Mode to migrate a legacy JavaScript application to a modern framework. What actions would Agent Mode likely perform autonomously?
Provide inline code completions only for individual files without modifying dependencies or project structure.
Identify relevant files, update dependencies, refactor existing code across multiple files, and iteratively verify changes by running tests.
Generate new documentation explaining why the migration should occur, but leave the actual code implementation to the developer.
Prompt the developer for manual inputs at each step of code modification without autonomously running any tests.
What is the role of project documentation files (such as README.md) when working with GitHub Copilot Agent Mode?
They serve exclusively as reference documents for developers and have no influence on Agent Mode's behavior.
They help Agent Mode understand the project's intended behavior, influencing how it autonomously executes tasks.
They restrict Agent Mode's access to code files, preventing unwanted modifications.
Agent Mode completely ignores documentation files and relies solely on the file structure and source code.
What is an important limitation developers should consider when using GitHub Copilot Agent Mode?
It requires manual configuration after every code generation to be effective.
It may struggle with highly specialized domain knowledge or nuanced business logic that lacks clear patterns.
It only supports generating code snippets and cannot autonomously refactor or run tests.
It cannot analyze project structure and dependencies, relying solely on explicit developer-provided context.
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