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Vitalii Khomenko’s proposed fix is to separate design exploration from design delivery. Use Figma to decide what a product should look and feel like, then hand engineering reusable, code-based components instead of asking developers to reconstruct a finished design file. Khomenko presents this as a response to AI-assisted engineering, not as a universal rule or proof that Figma is obsolete.
Why Khomenko says the handoff is becoming the bottleneck
In a SitePoint opinion article published October 2, 2026, Khomenko argues that AI-assisted development has changed where product teams lose time. His account is based on professional experience, including a biography describing more than 250 client engagements at Orizon Design and Fluente LLC; SitePoint does not provide an underlying dataset for that figure.
The traditional sequence was relatively clear: designers refined polished screens in Figma, engineers interpreted those screens, and implementation proceeded while development caught up. Khomenko’s argument is that when engineering accelerates, the interpretation and recreation step can become the slower part of the system. “The design handoff is quietly becoming the thing everyone is waiting on,” he says.
That is a diagnosis, not an independently measured industry statistic. The article supplies no before-and-after handoff times, adoption survey, or comparison of team performance. Its narrower point applies to teams where implementation has become substantially faster through AI tools: the design-to-code translation deserves scrutiny.
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The two-stage workflow he proposes
| Stage | Primary artifact | Purpose | Typical review question |
|---|---|---|---|
| Exploration | Figma files and prototypes | Establish brand direction, layout, interaction concepts, and visual feel | “Is this the right experience?” |
| Delivery | Code-based components, preferably in a prepared library | Give engineering implementation-ready building blocks | “Can we build and maintain this directly?” |
1. Explore visually in Figma
Khomenko keeps Figma in the part of the process where it is strongest: trying alternatives quickly, discussing hierarchy, validating the look and feel, and shaping a brand expression. A prototype can still be the clearest way for stakeholders to react to an experience before the team commits to implementation.
2. Deliver through code
Once the direction is approved, the handoff should include components engineers can use rather than only a file they must interpret. That may mean coded UI elements, documented states, responsive behavior, tokens, and examples in the team’s actual application stack. The objective is to remove a second pass in which developers manually recreate decisions already made by design.
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“Figma is still the right place to explore what something should look and feel like,” Khomenko says. “But handing over a Figma file and asking engineering to implement it is now the slow path. Delivering in code is the fast path. That’s the shift.” His wording describes a proposed direction; it does not establish that coded delivery is faster for every organization or technology stack.
What changes for designers
Khomenko does not define the future designer as a code generator. He describes design engineering as an expanding part of a broader creative role. Brand systems, motion, marketing, visual exploration, and product judgment remain part of the work; technical fluency adds another way to express and validate those decisions.
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Bring judgment into problem definition
For founders and product leads, his first recommendation is to involve senior design judgment earlier, while the team is still defining the problem. Earlier participation can prevent a polished interface from being produced for a poorly framed need. It also makes design responsible for more than styling a specification handed down by product or engineering.
Make delivery expectations explicit
“Ready for handoff” should mean more than a completed Figma page. Teams can agree that delivery includes reusable components, interaction states, accessibility behavior, responsive rules, and enough documentation for engineers to use the result without rebuilding its intent from screenshots.
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Protect the wider creative practice
A code-oriented handoff should not crowd out work that does not belong in a component library. Khomenko specifically says teams should preserve brand, motion, and marketing design alongside product implementation. The workflow changes where implementation decisions are delivered, not the full definition of design.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to decide whether this approach fits
Because Khomenko says each team’s workflow is still custom, leaders should evaluate the proposal against their own constraints rather than adopt a universal “Figma versus code” rule.
Best Value
- Need: Is the immediate problem visual exploration, implementation speed, or both?
- Interpretation: How much recreation is currently required between an approved design and working software?
- Reuse: Can the team maintain a component library that matches its framework and product architecture?
- Quality: Where are visual, interaction, accessibility, and brand decisions reviewed after code is produced?
- Capability: Who owns component maintenance, design-system governance, and changes when tools evolve?
- Flexibility: Can the process support unusual interactions or experiments that do not fit existing components?
These are evaluation criteria, not results reported in Khomenko’s article. They help distinguish a genuine handoff problem from a tooling problem or a missing design-system investment.
Risks and failure modes
Turning code into the only source of truth
If teams treat implementation as the sole definition of design, exploratory work can become harder and brand nuance can disappear. Figma remains useful for comparing directions and communicating intent before a component exists.
Building a library nobody can maintain
A code-first handoff creates ongoing obligations: versioning, documentation, accessibility fixes, visual regression checks, and ownership. Without those practices, “ready-to-use” components can become another bottleneck.
Confusing speed with quality
AI can reduce implementation effort without resolving product ambiguity, interaction quality, or inclusive design. Faster code generation does not remove the need for critique, testing, and human judgment.
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- Map the current delay. Observe where approved designs wait, what engineers have to infer, and which decisions are repeatedly recreated.
- Separate exploration from delivery. Label Figma work as exploratory or approved, and define the artifact required for implementation.
- Pilot one component path. Choose a bounded product area and deliver its states and behavior in the team’s real codebase.
- Review the complete experience. Check visual fidelity, motion, accessibility, responsive behavior, and maintainability—not just whether the screen renders.
- Adapt the process. Keep the parts that reduce interpretation, change the parts that create maintenance work, and revisit the arrangement as tools and team skills develop.
Khomenko’s central claim is therefore a change in emphasis: explore with visual tools, deliver with implementation-ready systems, and keep design broader than code. He also stresses that no standard playbook exists yet. Teams should treat the model as a hypothesis to test against their own handoff delays, not as a settled replacement for every design workflow.
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