AI Literacy for Developers
Habits, Mental Models & Spec-Driven Engineering for the AI-Augmented Developer and Software Development Lifecycle
(Available in single and double session formats; in-person and remote)
Build Smarter, Develop Faster, Stay in Control
AI isn’t coming for developers — it’s coming for their workflows. The teams who thrive won’t be the ones who “use AI,” but the ones who understand how to shape it: how to guide models and agents, constrain them, correct them, and integrate them safely into real engineering work. This short, high-impact workshop gives developers the literacy they need to collaborate with AI systems confidently and intelligently, turning them from chaotic autocomplete engines into powerful, reliable engineering partners.
AI-assisted coding happens in a triangle: developer → specification → AI. In this workshop, participants learn the core habits of AI-assisted development — how to use clear specifications, how to constrain models and work with memory with invariants and structured formats, how to review and verify generated code, and how to build tight iteration loops that turn AI into a force multiplier rather than a source of entropy. You’ll be introduced to a practical, organisation-friendly approach to specification authoring using the open source Spec-Kit, giving your teams a shared language that dramatically improves clarity, consistency, and AI output quality.
Whether you and your teams are experimenting with Copilot, building agents with Claude, or designing platform-integrated automation in a regulated environment, this workshop gives you the mental models and daily habits to do it safely, predictably, and with far greater real velocity. You’ll leave with repeatable workflows that you can apply immediately — and a new level of AI literacy that elevates both your craft and your organisation’s engineering capability.