Session 1 — Discovery & Current-State Assessment
Phase: 1 — Assessment & Strategy Target Week: Week 1 Duration: 2 hours Format: Remote working session (interview-style) Audience: Development team leads, architects, DevOps/platform engineers, security stakeholder
Objective
Build a deep, shared understanding of the selected learning bed product: its workflows, Azure DevOps configuration, architecture, security posture, and pain points — plus the team's existing exposure to AI-assisted development. This session anchors the AI Development Strategy Document and frames everything Phase 2 will build on this specific product.
Key Topics
- Walkthrough of the learning bed product: what it does, who uses it, where the complexity lives
- Technology stack, languages, frameworks, and the structure of its repos
- Existing Azure DevOps configuration for this product: boards, pipelines, branching strategy, code review process
- Security posture: secret handling, dependency review, code-vetting and static analysis tools in use
- Architectural standards and any internal style guides, ADRs, or reference patterns that apply to the product
- Current pain points in the idea-to-production pipeline for this product
- Existing AI tool exposure across the team (Claude, Copilot, ChatGPT, others) and any policy constraints
- Confirmation of access for the engagement: repos, pipelines, environments, identities
Outcomes
- Detailed picture of the learning bed product from a developer and platform perspective
- A working list of pain points that AI-assisted workflows should target first
- Confirmed access to everything Phase 2 needs to operate on the product
- Initial read on AI readiness and risk tolerance to inform the governance framework
Inputs Required from Turner
- Named developer and domain expert for the learning bed (committed in Session 0) present
- Architecture overview for the learning bed product
- Access (read or demo) to