What We’ll Cover

This session will go deep into the practical mechanics of agentic coding, from spec to PR to QA. Presenters will demo how they are using agents, skills, rules, hooks, instruction files, code review loops, test workflows, MCP tooling, worktrees, persistent context, and checkpoints to make AI coding tools work inside real engineering processes. 

Where Human Effort Pays Off

We’ll focus on where people should and should not spend their time. As agents generate more (or all) of the code, humans need to focus on the leverage points: defining clear acceptance criteria, shaping implementation plans, enforcing architecture, identifying risk, improving test coverage, reviewing high-impact changes, and “sharpening the axe” - refining the agentic process itself.

Topics will include:

• How presenters’ teams are working today: what tooling, workflows, and techniques are they using to deliver

• Where human review belongs in an agentic coding workflow

• What quality gates teams rely on, including code review, testing, and red-green workflows

• What teams adopt off-the-shelf, what they build themselves, what they stopped using, and how they improve their approaches over time 

• How teams co-author specs, acceptance criteria, and implementation plans with agents

• How engineers manage concurrent AI coding sessions

This is one of the few times the LA CTO Forum has opened one of its online sessions to a broader audience  It will be a great session for engineering, product, and QA leaders who will leave with a clearer picture of what mature agentic coding looks like, and where your team has the most to gain.