AI is changing how we build software, but its real value comes when it supports the whole SDLC, not only code generation.

In this session, we will walk through a realistic feature delivery journey with GitHub Copilot: understanding the user story, validating acceptance criteria, planning, implementation, security review, and pull request validation.

We will show how skills, custom agents, MCP integrations, and organization-level instructions can help teams break down work, accelerate development, and apply consistent engineering standards.

We will also cover practical security checkpoints, including secure coding review, linting, dependency risk with Dependabot, and PR review guidance aligned with organizational guardrails.

The goal is not to present AI as a shortcut, but as a practical teammate that helps teams deliver faster, with better quality and stronger security built into the process.