Scaling AI-Assisted Development Across Engineering Teams https://WebToolTip.com Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 25m | Size: 1.77 GB
Scale AI coding tools across engineering teams with proven workflows, governance guardrails, and measurable ROI metrics.
What you'll learn
Evaluate and standardize AI coding assistants (Copilot, Cursor, Claude Code) across engineering teams using a standardized evaluation matrix.
Deploy enterprise prompt repositories and system configs directly into Git repositories to enforce code quality and architecture standards.
Implement DORA metrics and efficiency telemetry dashboards to accurately track developer velocity, cycle time, and ROI.
Establish AI compliance, data privacy, and automated security CI pipelines to prevent code bloat and hallucinated dependencies.
Requirements
Basic understanding of modern software development workflows, Git, and CI/CD pipelines. Experience in engineering management, tech leadership, or software architecture is helpful, but no prior experience in scaling AI tools is required.