Why the Old Design-to-Code Process Doesn’t Work Anymore
1.3K views · 2026-07-09
UI Design
The old product workflow is dead. This is the new process product teams need.
Get our skills for free (PRD skill, Extract DS, and more) → https://designproject.io/skills-repo/?utm_source=youtube&utm_medium=video&utm_campaign=ai_product_workflow&utm_content=description
Join TDP Community as a Founding Member NOW! → https://designproject.io/community/?utm_source=youtube&utm_medium=video&utm_campaign=ai_product_workflow_community&utm_content=description
Design to Code Workshop for companies. Apply using this link → https://relay.designproject.io/ai-product-workflow
WATCH MORE LIKE THIS:
▶️ Build a Figma Design System With AI and Code → https://www.youtube.com/watch?v=22PM1s-EiwM
▶️ 7 AI Tools I Use to Ship Design Systems Faster → https://www.youtube.com/watch?v=2UhH5ZQtiGA
▶️ I Designed with Fable 5. Now I get why it got suspended → https://www.youtube.com/watch?v=lcQgcf-17uA
A lot of product teams are asking how to go from Figma to code with AI. But I think that is the wrong question.
The better question is: how does your whole product workflow need to change now that design can move closer to code?
In this video, I talk through the old product process: PM writes a ticket, designer makes a Figma, engineer rebuilds the design, QA checks it, and then everyone goes back and forth because something got lost. The requirements were unclear, the design didn’t match the existing product, the coded components drifted from Figma, or the product logic lived in someone’s head.
AI makes that old process even messier if it only sees one ticket, one screenshot, or one prompt.
So I walk through the new workflow I think product teams are moving toward: the repo becoming the product brain, components becoming business-aware, and agents helping review work against the full product context.
WHAT YOU'LL LEARN:
• Why Figma to code is only one small part of the real workflow
• Why the old product handoff process breaks down with AI
• How the repo can become the product brain for your team
• Why AI needs requirements, Slack decisions, call transcripts, design rules, and product logic
• How business-aware components are different from a normal component library
• Why agents should review, QA, and check product rules instead of only generating screens
• How the roles of PMs, designers, and engineers are starting to change
• Why the teams that move faster won’t just use more AI tools, but will give AI better product context
This is how I’m thinking about the next phase of design-to-code: not just turning Figma files into React components, but turning product knowledge, design decisions, business rules, and team context into something AI can actually use.
CONNECT WITH ME:
🌐 https://designproject.io/?utm_source=youtube&utm_medium=video&utm_campaign=ai_product_workflow&utm_content=connect_website
💼 LinkedIn: /diannealter
———
TIMESTAMPS:
00:00 - Why “Figma to code” is the wrong question
00:59 - The old product workflow is breaking down
02:07 - The repo as the new product brain
03:29 - From component libraries to AI-managed design systems
04:23 - Agents as reviewers, QA, and workflow partners
05:32 - The 3 big shifts in design-to-code
07:55 - Why legacy products make this harder
09:17 - How product roles need to change
———
We at The Design Project help B2B SaaS product teams ship faster by combining AI tools with strategic design expertise. We've worked with 50+ teams, including companies acquired by Slack, Nvidia, and MrBeast, to cut product cycles in half using battle-tested AI workflows and design systems.
Get our skills for free (PRD skill, Extract DS, and more) → https://designproject.io/skills-repo/?utm_source=youtube&utm_medium=video&utm_campaign=ai_product_workflow&utm_content=description
Join TDP Community as a Founding Member NOW! → https://designproject.io/community/?utm_source=youtube&utm_medium=video&utm_campaign=ai_product_workflow_community&utm_content=description
Design to Code Workshop for companies. Apply using this link → https://relay.designproject.io/ai-product-workflow
WATCH MORE LIKE THIS:
▶️ Build a Figma Design System With AI and Code → https://www.youtube.com/watch?v=22PM1s-EiwM
▶️ 7 AI Tools I Use to Ship Design Systems Faster → https://www.youtube.com/watch?v=2UhH5ZQtiGA
▶️ I Designed with Fable 5. Now I get why it got suspended → https://www.youtube.com/watch?v=lcQgcf-17uA
A lot of product teams are asking how to go from Figma to code with AI. But I think that is the wrong question.
The better question is: how does your whole product workflow need to change now that design can move closer to code?
In this video, I talk through the old product process: PM writes a ticket, designer makes a Figma, engineer rebuilds the design, QA checks it, and then everyone goes back and forth because something got lost. The requirements were unclear, the design didn’t match the existing product, the coded components drifted from Figma, or the product logic lived in someone’s head.
AI makes that old process even messier if it only sees one ticket, one screenshot, or one prompt.
So I walk through the new workflow I think product teams are moving toward: the repo becoming the product brain, components becoming business-aware, and agents helping review work against the full product context.
WHAT YOU'LL LEARN:
• Why Figma to code is only one small part of the real workflow
• Why the old product handoff process breaks down with AI
• How the repo can become the product brain for your team
• Why AI needs requirements, Slack decisions, call transcripts, design rules, and product logic
• How business-aware components are different from a normal component library
• Why agents should review, QA, and check product rules instead of only generating screens
• How the roles of PMs, designers, and engineers are starting to change
• Why the teams that move faster won’t just use more AI tools, but will give AI better product context
This is how I’m thinking about the next phase of design-to-code: not just turning Figma files into React components, but turning product knowledge, design decisions, business rules, and team context into something AI can actually use.
CONNECT WITH ME:
🌐 https://designproject.io/?utm_source=youtube&utm_medium=video&utm_campaign=ai_product_workflow&utm_content=connect_website
💼 LinkedIn: /diannealter
———
TIMESTAMPS:
00:00 - Why “Figma to code” is the wrong question
00:59 - The old product workflow is breaking down
02:07 - The repo as the new product brain
03:29 - From component libraries to AI-managed design systems
04:23 - Agents as reviewers, QA, and workflow partners
05:32 - The 3 big shifts in design-to-code
07:55 - Why legacy products make this harder
09:17 - How product roles need to change
———
We at The Design Project help B2B SaaS product teams ship faster by combining AI tools with strategic design expertise. We've worked with 50+ teams, including companies acquired by Slack, Nvidia, and MrBeast, to cut product cycles in half using battle-tested AI workflows and design systems.