Cursor developer warns AI is blurring lines between engineers and product managers

While product managers are rapidly creating prototypes using AI-enhanced coding tools, engineers are tasked with readying them for production.

Eric Zakariasson, an engineering expert at Cursor focusing on developer experience and product, expressed at the AI Engineer Europe 2026 event in a recording shared on Tuesday that setting "clear expectations" between engineering and product teams could streamline processes.

This involves explaining "what engineers generally need from the product team and what benefits them the most," he stated.

"Perhaps creating complete SaaS products through vibe coding isn't the most effective approach," he added, referring to fully operational applications.

Zakariasson noted that product managers can now develop interactive mock-ups without interfering with backend systems using AI-assisted coding tools.

These prototypes can demonstrate the desired functionality of a product—what occurs when a user interacts with elements like buttons or forms. 

Nevertheless, these products don't need to be entirely operational, "just enough for your engineers to discern," Zakariasson explained.

Increasingly, product managers are expected to construct their own prototypes, testing out vibe coding as the distinction between product and engineering diminishes.

Business Insider disclosed in February that some Meta product managers have begun identifying as "AI builders," signifying the growing potential for software creation within the company enabled by AI coding tools.

This trend also stems from a larger leadership motivation. During Meta's Q4 2025 financial report, CEO Mark Zuckerberg highlighted that AI tools would fundamentally alter work processes throughout the company in 2026.

"We're channeling resources into AI-specific tools, allowing Meta staff to achieve more," Zuckerberg highlighted. 

"We're enhancing contributions from individuals and simplifying team structures. We're witnessing initiatives previously requiring large teams being completed by a single exceptionally skilled person."

Other businesses are reevaluating conventional roles. Last year, LinkedIn shared it would discontinue its associate product manager program to focus on developing skills in coding, design, and comprehensive product development training.

While AI tools redefine product management capabilities, some engineers note AI-assisted coding intensifies their jobs' demands.