Strategy meets technology

Design reviews often stall when feedback turns into opinion. This piece explores how shifting conversations toward outcomes, user context, and documented decisions helps teams align faster, reduce rework, and treat design as a shared problem-solving process rather than a subjective debate.

A year-in-review outlining Flywheel’s growth, key projects, team updates, and how AI and go-to-market strategy are shaping our development approach and priorities for 2026.

2025 demanded clarity — in problem definition, decision-making, and quality. This reflection shares key product lessons from the past year and outlines the principles guiding 2026: building with intention, resisting premature certainty, and focusing on long-term trust over short-term speed.

Fast builds aren’t enough anymore. Clients expect apps, AI products, and services that scale without breaking. At Flywheel, we focus on architecture, logic, and reliability, building products that survive success, not just launch quickly.

We get asked this every day: “How much does it cost to build an app?” But that’s the wrong question. In this transparent guide, our CEO breaks down the real drivers of product cost, from risk tolerance and complexity to how polished your MVP needs to be. Plus: when to use no-code, when to upgrade, and how to avoid the 2 most common budget traps.

Even Apple takes shortcuts—and sometimes, that’s genius. In this smart, playful read, Abbas unpacks how a not-so-infinite design became a timeless PM lesson.

We’re excited to announce Flywheel Studio has won Agency of the Year, again 🥳.

An AI-powered experiment compared FlutterFlow and DreamFlow code quality. While Gemini rated DreamFlow's code "Good" and FlutterFlow's "Poor," the analysis argues that code readability is less critical for a visual platform. The conclusion? FlutterFlow remains a highly scalable option for app development.

Somara started as a “vibe coding” experiment at Flywheel, using AI to rapidly build a collaborative platform for teams. What began as a quick MVP evolved into a powerful product, then was rebuilt from scratch to address scalability and technical debt. Along the way, we learned hard lessons about scope creep, AI-driven development, and the balance between speed and long-term stability.