AI + Design
AI + Design
Design has always been under pressure to move at the pace of engineering — to speak its language, to match its speed. With the rise of AI-native tools like GitHub Copilot, Cursor, and Figma’s AI integrations, design can now deliver real code and real value in hours—not weeks.
Here’s how I help organizations integrate AI into their design practice to drive speed, clarity, and business impact:
- Moving a design org from “AI curiosity” to AI-integrated workflows.
- Shifting product roadmaps from AI-as-a-feature to AI-as-a-business-driver.
- Redesigning team skill sets for AI-native UX.
6 Months of Swirl and Settle
The next few months will be a whirlwind. Immature software development lifecycles (SDLCs) will become even less mature. Well-run product organizations will either experience a small speed bump… or leap ahead of their competition. AI has completely transformed the output speed of engineering — but it hasn’t magically matured product innovation.
The playing field for ideation and execution is now open to every PM, designer, and engineer in your organization.
The upside: More ideas, faster than ever before.
The downside: Without a clear product strategy, your org risks chasing ghosts.
What needs to happen now
Open the sandbox
Give product and design teams access to your full GitHub codebase.
Yes, this may require some DevOps effort — but will fuel innovation.
Rethink your product workflows
You likely now have multiple parallel tracks:
Standard: PRD → Design → Engineering
Engineering-first: Eng → Design → Eng
Design-first: Design → Eng
AI acceleration means these streams may collapse or overlap — you need clarity on how they work together. Without this clarity your estimation process will become guesswork.
Assess AI literacy across teams
Evaluate your PMs, designers, and engineers not just on tool usage, but on their ability to integrate AI into problem framing, prototyping, and delivery. Provide Github access to product and design to your full codebase.
