Modernizing Product Design Workflows for the AI-Assisted Engineering Era
Vitalii Khomenko argues that design handoffs must shift from static files to code.
1The Shifting Design Bottleneck
For the past decade, software development speed was primarily constrained by engineering capacity. Vitalii Khomenko, principal designer at Orizon Design, observes that AI-assisted coding has fundamentally reversed this dynamic. Today, the manual translation of design files into functional code has become the primary bottleneck, forcing teams to rethink their traditional workflows.
2Limitations of Figma Handoffs
Current design processes rely on Figma files that require engineers to manually interpret spacing, assets, and component logic. This translation phase is inherently slow and prone to friction. Khomenko argues that while Figma remains an excellent tool for visual exploration, it fails to meet the velocity requirements of modern AI-boosted engineering pipelines.
3The Rise of Design Engineering
Khomenko proposes a structural shift where designers deliver functional code rather than static visual artifacts. By providing engineers with prepared component libraries, designers eliminate the time-consuming translation step. This evolution requires designers to adopt technical skills, effectively bridging the gap between visual intent and the final implementation of the product.
4Preserving Creative Breadth
While design engineering is becoming essential, Khomenko emphasizes that it should not replace the full creative cycle. Designers must still manage brand identity, motion, and marketing materials to ensure product differentiation. The goal is to integrate technical delivery into a broader stack, rather than reducing the role to mere code generation.
5Front-Loading Design Judgment
The new workflow demands that senior design thinking occurs earlier in the development process. By defining problems and validating logic before generation begins, teams avoid costly revisions. This proactive approach ensures that design judgment shapes the product architecture, rather than simply applying polish to features that have already been built.
6Separating Exploration and Delivery
Teams should treat visual exploration and final delivery as distinct stages with different expectations. Figma should be reserved for establishing brand identity and layout logic, while the final artifact for engineering must be code. Collapsing these phases into a single step often leads to inefficiencies and misaligned expectations between departments.
7Customizing for Team Needs
There is currently no standardized playbook for this transition, as every team operates with unique constraints and tooling. Khomenko notes that workflows are highly custom, evolving alongside changing technology. Successful teams are those that remain flexible, allowing their internal processes to adapt to the shifting demands of the modern development cycle.
8Strategic Implications for Founders
Founders must reconsider how they staff and budget for design roles to accommodate this shift. Hiring for design engineering capabilities or upskilling existing teams is becoming a competitive necessity. Organizations that fail to address the handoff bottleneck risk falling behind competitors who have already integrated code-ready delivery into their pipelines.
9The Future is Present
The transition to code-based delivery is not a distant future scenario but an immediate reality for forward-thinking companies. By aligning design output with the speed of AI-assisted engineering, teams can significantly reduce friction. The shift represents a fundamental change in how digital products are conceived, built, and delivered to users.