GH-600 Study Roadmap

Start by understanding what the GitHub Copilot coding agent is expected to do in a development workflow. Focus on task framing, repository awareness, proposed changes, and human review.

Study how repository custom instructions guide style, testing, security, and contribution expectations. Compare one-off prompt details with durable repository-level guidance.

Practice tracing a task through issue definition, planning, implementation, pull request review, and handoff. The agent should fit the team’s software development lifecycle rather than bypass it.

Review when a custom agent or profile is useful for repeatable work such as implementation planning, code review support, or repository-specific workflows.

Study tool access as a permission and workflow decision. MCP concepts matter where external tools or resources are connected, but the exam focus should remain on safe, task-appropriate access.

Review how environment setup affects dependency installation, tests, commands, file access, and troubleshooting. A failed environment should be diagnosed before assuming the agent logic is wrong.

Learn why session persistence helps multi-step work and when stale session state can create confusion. Good review compares the current output against the original task and latest repository state.

Study diffs, pull requests, test output, approval checkpoints, and handoff notes. Traceability connects agent work to the reason for the change.

Review least privilege, secret protection, prompt-injection risk, untrusted content, data boundaries, and human accountability for accepted changes.

Finish with mixed scenarios: missing context, bad instructions, blocked tools, failed tests, uncertain permissions, or unclear handoff. Classify the failure before choosing the fix.