AI Training for Backlog Management and Behavior-Driven Development
Two practical, hands-on training courses for teams that want to leverage the power of AI in product development. When combined, they form one continuous path: first refine a product backlog with AI, then turn those refined backlog items into automated BDD tests and living documentation.
Both courses use GitHub Copilot and custom Agent Skills developed and maintained by Agilist. AI supports the team as an amplifier, not as a replacement for shared understanding, collaboration, or human review. Participants learn how to accelerate repetitive product development activities, critically review AI-generated proposals, and retain control and responsibility for every final result.
AI-Powered Backlog Management
From requirements to a refined backlog in Azure DevOps
Turn unclear business requirements into clear, testable work items that truly describe your intent. Learn how to use AI to clarify scope, strengthen acceptance criteria, and improve requirement readiness. Experience how you can spend more time clarifying requirements and less time updating backlog items. Build a shared, repeatable AI-powered approach to backlog management by leveraging custom Agent Skills, GitHub Copilot, and the Azure DevOps MCP Server in repeatable workflows where humans review proposals and approve work item changes before publishing.
AI-Powered Behavior-Driven Development (BDD)
From refined requirements to automated tests and living documentation
Create business-readable Gherkin test specifications that guide development, run as automated tests and generate living documentation. Learn how to use BDD and AI to turn refined requirements into test scenarios that business and technical roles can understand and verify together. Experience how you can reduce the repetitive effort of writing and reviewing test scenarios and accelerate test automation, making automated testing accessible and practical without replacing shared understanding, refinement, collaboration, or human review.
Build a shared, repeatable AI-powered approach to Behavior-Driven Development by leveraging BDD, custom Agent Skills, and GitHub Copilot in repeatable workflows where business people review and approve AI-generated test scenarios, while developers review and own AI-generated code.
Explore AI-Powered Behavior-Driven Development →
Download AI-Powered Behavior-Driven Development Course Overview
Leveraging Agent Skills
Agent Skills capture expert knowledge, team standards, quality checks, and review steps in reusable instructions for AI agents. They help your team to effectively move from isolated AI prompts toward reusable, governed AI-assisted delivery workflows. Teams create, maintain, and improve the skills as shared assets, so agreed practices and improvements are available and consistently applied across the team. Agent Skills guide GitHub Copilot through structured, repeatable workflows where humans steer and review AI proposals before approving changes.
Agilist develops and maintains Agent Skills used for the training. Participants may use them after the training under a license.
Want AI woven into your backlog and your tests — practically, and with the right guardrails? Let's find the right format for your team.
Two Complete Workshops, One Connected Journey
Each workshop is complete and valuable on its own. Choose AI-Powered Backlog Management to focus on backlog quality and refinement workflows, or AI-Powered Behavior-Driven Development to focus on executable specifications, test automation, and living documentation.
Combine them as a connected two-day bundle when you want the full journey: Day 1 produces refined, example-rich backlog items, and Day 2 turns them into executable specifications that guide development and continue verifying the system on every build.
The individual workshops and the two-day bundle are available as public classes or private deliveries tailored to your team, online or onsite.