Guest: Keren Fanan, Co-Founder & CEO, MyOp.dev
Topic: Plugging AI-generated UI into production without breaking your core app
Episode overview
AI can now generate front ends and UX logic in minutes, but most teams still cannot ship that code safely. Keren explains how MyOp’s pluggable layer lets non-developers ship UI in isolation while engineering protects the core, enabling faster experiments, A/B tests, and personalization in live apps.
What you will learn
- How to connect AI-generated components to real products without redeploys
- The separation-of-responsibilities model for product, design, and engineering
- How to run safe experiments, staged rollouts, and A/B tests in production
- Why front-end roles are changing and how non-developers can ship code
- How to stand up design-partner programs and early customer workshops
- Seed-stage tactics: pricing, usage metrics, and adoption inside mature orgs
Key takeaways
- Pluggable isolation: MyOp keeps AI-generated UI and front-end logic isolated from core code so the product remains stable and secure while experiments move fast.
- Non-dev empowerment: Product managers, designers, and growth teams can ship user-facing components safely; engineering owns core logic, data, and integrations.
- Faster learning loops: Teams can ship, segment, and roll out UI changes to real users, then iterate based on measurable results.
- Change management is the work: Success requires explicit ownership, QA gates, and trust building between product and engineering.
- Pricing follows value: Usage-based subscription aligns cost to shipped components and measurable outcomes.
- Career shift: A large portion of traditional front-end work moves to “citizen developers,” pushing engineers deeper into core systems or toward product.
- Women in AI leadership: Action steps to widen participation and turn AI fluency into new leadership paths.
Frameworks and operating models
MyOp Architecture
- Open source SDK inside the host app to define a safe “contract” to the core
- Management hub for pasting AI-generated code, QA, segmentation, A/B tests, version history, and gradual rollouts
Separation of Responsibilities
- Engineering: core domain logic, data models, integrations, stability, security
- Product/Design/Growth: UI components, micro-interactions, experiments, and personalization via AI tools
Experiment-to-Production Pipeline
- Generate component with AI tool of choice
- Plug into MyOp management hub
- QA segment → beta segment → broader rollout
- Measure, iterate, and sync to Git as needed
Adoption Playbook
- Lead with live demos built by non-developers
- Run hands-on internal workshops to teach “vibe coding” for real app components
- Use design partners to validate value and prove speed-to-impact
Pricing and Metrics
- Usage-based subscription tied to shipped components and real outcomes
Fast stats
- Founded: 2024
- Team size: ~10
- Capital raised: ~$2M seed
- HQ: Tel Aviv, operating globally
- Focus: UI/UX in production, experiments, segmentation, A/B testing, and rollouts
Resources mentioned
Episode Sponsors
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