“For example, when we came up with the idea for [AI tool] Prompt Genie, we went from idea to launch to first paying customer in just four days, using a no-code approach,” Aggarwal says. “But once we got the product to a market fit, we ran into major challenges in scaling.”
The low-code, no-code platform the company used wasn’t designed to handle a growing user base, “so it required a complete rebuild and migration of all the users, which was nothing short of tricky,” Aggarwal says. “You can run into issues with data loss, downtime, and broken workflows, among others. Depending on how validated your idea is, you can skip low-code and no-code and build things for scalability from scratch.”
While suitable for smaller, less complex applications, “these platforms may struggle to meet the demands of large-scale enterprise applications,” Zafar says. Evaluate the long-term viability of the platform before using it in mission-critical systems.”