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- The Next Era of App Building Has Arrived
The Next Era of App Building Has Arrived
AI-native tools are rewriting the rules, but strategy, security, and smart product management still decide who wins. In this issue, we share how Flywheel is navigating the shift and what it means for the products you’re building.
Is AI the Future of Mobile App Development? A Deep Dive into DreamFlow
By Erik Goins | CEO at Flywheel Studio

The next era of mobile development is here. DreamFlow enables rapid prototyping and AI-assisted workflows that can turn sketches into working apps in hours. But speed comes with trade-offs: how do you balance control, quality, and iteration?
🛠️ Bridging the Gap: What Agency Clients Don’t See, but PMs Know
By Temi Olatunji | Product Manager at Flywheel Studio

Clients see sleek apps, but PMs live in the messy middle: translating vision into scope, managing dependencies, testing, and mitigating risks before they become fires. This piece highlights how thoughtful scoping and alignment keep timelines intact and apps thriving.
Security by Design: How We Build Safer Mobile and Web Apps
By Angélica Bolaños | Developer at Flywheel Studio

Security isn’t an afterthought. From granular database rules to force-update mechanisms, this piece shows how we integrate enterprise-grade security in FlutterFlow and WeWeb apps without slowing down development.
How to Track and Improve App Metrics: A Step-by-Step Guide
By Erik Goins | CEO Flywheel Studio

Tracking App Metrics: From Awareness to Retention
Understanding how users engage with your app is critical for growth. This guide walks through the essential app metrics; awareness, conversion, activation, and retention, and explains how to spot drop-offs, improve onboarding, and focus on the KPIs that matter most. A practical playbook for turning downloads into loyal users.
📚What We’re Reading:
This month’s picks highlight how AI is reshaping product development and coding, from building AI-aware workflows to tracking the latest breakthroughs in AI research:
Why Your AI Product Needs a Different Development Lifecycle
This article introduces the Continuous Calibration/Continuous Development (CC/CD) framework, emphasizing the need for a unique approach to building AI products. It highlights the inherent non-deterministic nature of AI systems and the necessity to balance agency and control to ensure stability and trustworthiness in AI-powered products
The Batch: Issue 313
The latest issue of The Batch covers significant developments in AI, including the proliferation of open agentic large language models (LLMs), advancements in robotic surgeries, and the environmental impact of reasoning models. It also discusses Meta’s substantial investments in AI and the competitive landscape of AI model development.
Building fast is easy. Building smart is harder.
That’s where we come in.
Ready to build smarter, faster, and safer apps?
Until next time,
The Flywheel Team