Agentic Coding Workflows

Agentic Coding Workflows Courseware (DEVAI104)

AI

Agentic Coding Workflows is for anyone who want to use AI coding assistants to manage larger development tasks from start to finish. The course shows students how to work with tools such as Claude Code, Codex, and GitHub Copilot in more structured workflows that include planning, review, validation, documentation, and release readiness.

Students will learn how to guide AI through complete feature-building loops, review the results with clear roles and expectations, and prepare work for handoff or release. By the end of the course, students will understand how to use agentic AI coding tools more effectively across multi-step projects, while keeping human judgment, quality control, and project priorities at the center of the process.

Publisher: Webucator

Benefits

  • Use tools such as Claude Code, Codex, and GitHub Copilot to support structured development workflows.
  • Understand how to organize team review, quality checks, and release readiness when working with AI-generated code.
  • Create handoff documentation that helps others understand what was built, changed, tested, and reviewed.
  • Guide an AI coding assistant through a complete feature-building loop from request to validation.
  • Use acceptance criteria and validation steps to decide whether AI-assisted work is ready to move forward.
  • Improve iteration efficiency by prioritizing tasks, refining instructions, and reducing unnecessary back-and-forth with AI tools.
  • Manage multi-feature AI-assisted workflows while keeping scope, quality, and project priorities clear.

Outline

  1. Team Review and Release Readiness Workflows
    1. Review Governance and Roles
    2. Release Readiness Framework
    3. Handoff Documentation Patterns
    4. Conduct Structured Review
    5. Build Release Readiness Packet
  2. The Full Agent Loop
    1. Full Loop Architecture
    2. Validation and Acceptance Strategy
    3. Iteration Efficiency Patterns
    4. Execute Single Feature Loop
    5. Multi-Feature Loop with Prioritization

Required Prerequisites

None

Useful Prerequisites

Students should be comfortable using AI to plan features, guide development from a specification, test and review AI-generated work, and refine code through structured iteration.

License

Length: 4 hours | $35.00 per copy

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What is Included?
  • Student Manual
  • Student Class Files
    Courseware Tracks

    This course is included in the following tracks: