AI Can Code – Now What?
AI tools write production-ready code today – but that's where the real work begins. In this workshop we explore what changes for development teams: How does the developer's role shift? Which engineering practices stay essential, and which become obstacles? What does a sustainable workflow look like where AI-generated code remains reviewable, testable, and compliance-ready? Hands-on, with live examples from your actual repos.
Who is this for?
Engineering teams, tech leads, and engineering managers who want to roll out AI-assisted coding productively.
What you take away
- A clear mental model: what can AI do today, where are the limits?
- Concrete engineering practices for AI-augmented teams
- Workflows that keep AI-generated code reviewable and compliance-ready
- Hands-on with pre-commit hooks, LLM hooks, and TDD integration
Plan
Setup
State of AI coding tools, honest framing of what works and what doesn't.
Practice
Live coding with a real repo: feedback loops, review patterns, test-driven prompting.
Workflow
Pre-commit hooks, LLM hooks, CI integration – the infrastructure for sustainable AI use.
Roadmap
Your next steps: tool selection, team onboarding, measuring success.
Who runs the workshop?
Request this workshop
AI Can Code – Now What?
Drop us a short note about your context — we'll get back within 48 hours with a concrete proposal.