What It’s About:
The GitHub Copilot Coding Agent is an evolution of Copilot. Instead of only giving inline code suggestions, it works in the cloud and can handle multi-step tasks like:
- Analyzing repos
- Proposing and generating unit tests
- Creating GitHub issues and pull requests
- Implementing new features from PRDs (Product Requirement Documents)
- Coordinating changes across projects
This transforms Copilot from just a “pair programmer” into an automation agent.
Scenario 1 – Automating Unit Tests
- Identify gaps: Copilot analyzes the repo to suggest missing unit tests with details (title, rationale, files, dependencies, priority, complexity).
- Review suggestions: Developers validate if they align with project needs.
- Create GitHub Issue: Copilot generates an issue with all missing test details.
- Assign to Copilot Agent: Copilot implements the tests, opens a PR, and waits for review.
Example workflow: Issue#47 Implement missing Unit Tests→ PR#48 Add Unit Tests.
Benefit: Removes the burden of boilerplate test writing, ensuring consistency.
Scenario 2 – Implementing a Feature with a PRD
- Generate PRD: Copilot drafts a PRD (purpose, scope, design, API contract, security notes, rollout plan, etc.) for adding a mock payment server.
- Implement PRD: Once approved, Copilot generates code, configs, UI elements, and even test automation (e.g., Playwright screenshots).
Example workflow: PRD → PR#49 Implement Mock Payment Server.
Benefit: Aligns stakeholders and developers, then automates feature delivery.
Key Takeaways
- Boosts productivity: Handles repetitive coding and testing tasks.
- Bridges planning & execution: Converts PRDs directly into working code.
- Seamless GitHub integration: Issues, PRs, reviews stay in developer workflows.
- Still needs oversight: Human review ensures quality, security, and standards.
Bottom Line
The Copilot Coding Agent is not replacing developers—it’s augmenting them by automating tedious steps so developers can focus on creativity, architecture, and critical review.