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design+AI 2026 · Workshop Day

Beyond Vibe Coding: From Prototyping
to Shipping Like an Engineer.

You can build a working prototype in an afternoon. Shipping it is a different problem. Learn how to set up the engineering foundations that allow AI to help you build products that are ready for real users, not just impressive demos.

Overview

AI makes it easier than ever to build software quickly. But getting from prototype to production requires more than generating code.

In this hands-on workshop, you'll learn how to scaffold the tools and workflows professional engineers rely on including testing, continuous integration, deployment and coding standards. By setting up these guardrails first, AI becomes a far more reliable development partner.

Working with TypeScript, Next.js, GitHub and Cloudflare, you'll build and deploy a real application that you can continue developing long after the workshop ends.

Why attend?

Move beyond AI-generated prototypes and learn how to ship production-ready products. Discover how professional engineering workflows improve AI-assisted development, build confidence working with modern development tooling, and leave with a repeatable workflow you can use on future projects.

What you'll learn
Scaffold a modern application using AI
Deploy using GitHub and Cloudflare working towards a live app during the session
Use testing, linting and CI to improve AI-generated code
Configure AI coding agents to follow your team's standards
Build features with confidence using production-ready workflows
Session format
  • 1
    Why setup matters first
    Understanding why getting the foundations right before generating code leads to dramatically better results.
  • 2
    Building and deploying your first application
    Scaffold a Next.js + TypeScript application using AI and get it deployed to Cloudflare via GitHub.
  • 3
    Using tests as your AI safety net
    How automated testing changes the reliability of AI-generated code and how to set it up from the start.
  • 4
    Continuous integration in practice
    Connect your repo to a CI pipeline so every change is checked automatically before it ships.
  • 5
    Linting, type safety & agent standards
    Configure AI coding agents to follow your coding standards using CLAUDE.md / AGENTS.md.
  • 6
    Building your first production-ready feature
    Bring it all together build a feature using the workflows you've configured, then Q&A.
What you'll leave with
A Next.js + TypeScript application built on production-ready foundations with the goal of a working feature live by end of session
A GitHub repository with CI configured
Automated testing and linting workflows
A reusable CLAUDE.md / AGENTS.md setup
A workflow you can immediately apply to future projects
Who is this for?

Designers, Design Engineers and Product people who already prototype using AI tools such as Cursor, Claude, Bolt, Lovable or v0, and want to build products that survive contact with real users. Some command line experience is helpful but not essential.

About Chris Parsons

Chris Parsons helps leaders get real results from AI through training, advisory and hands-on work. He works with founders and C-level executives to cut through the hype and adopt AI tooling that makes a meaningful difference to the whole team, not just individuals.

His work sits at the intersection of strategy and practice: identifying where AI can genuinely accelerate product development, and building the processes and confidence needed to make that happen at scale. He brings the same grounded, practical approach to his workshops, which are designed to produce real, usable output rather than conceptual frameworks.

Join him in Brighton
this September.

Talks Day tickets are still available. Workshop Day is now sold out.

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