Author

Zdravko Kolev

Manager, Product Development @ Infragtistics

Reveal

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Zdravko Kolev is Manager, Product Development at Infragistics, driving the product strategy and execution for Reveal, an AI-native embedded analytics platform built for modern SaaS applications. With over 15 years of hands-on software development experience, Zdravko combines deep technical expertise with strategic leadership to shape scalable, developer-first platforms.

While he has spent the past several years making significant, foundational contributions to the success of theApp Builder Platform Zdravko is now a driving force behind the Reveal team. His work centers on delivering "analytics customers love" by emphasizing robust SDK control and cutting-edge AI-powered insights. He collaborates closely with product and architecture leadership to strategically balance the development of innovative new features with long-term platform health.

Zdravko works closely with cross-functional global teams to define a product vision that aligns with customer needs and data-driven decision-making. He guides a highly skilled, distributed team spanning the US, Uruguay, and Bulgaria, and he is deeply committed to building strong, resilient teams and supporting engineering career growth. A passionate advocate for developer experience and quality outcomes, he regularly shares his insights on embedded analytics and technical innovation through expert contributions to SD Times, Solutions Review, Medium ,GitHub, DZone, AppBuilder.dev, the Infragistics blog and more.

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What is Self-Service BI Feature Image

Vibe Coding Analytics: Can You Really Build Instead of Buy? 

Vibe coding analytics is changing how SaaS teams approach build vs buy decisions. AI makes it easy to generate dashboards, test ideas, and move fast early. But speed at the start does not translate to success in production. Customer-facing analytics requires governance, security, and cost control—areas where AI alone falls short. As AI raises expectations from dashboards to embedded intelligence, teams must decide to build and own the complexity, or adopt a platform designed for production analytics. 

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