We publish lessons learned from building production apps, shipping features under real constraints, and helping teams move faster with confidence.
An AI assistant can write a Flutter or .NET MAUI feature in minutes, but you still own it. A practical checklist for developers: write tests from requirements, run the local gate, treat generated code as untrusted, and leave evidence before you push.
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AI shifts QA from finding bugs to governing risk. For mobile teams shipping AI-assisted code, QA owns behaviour across devices, the evaluation of AI features in production, and the evidence that satisfies an audit.
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Many BLE products rely on hidden mobile app protocols for security. Android Bluetooth HCI logs and Wireshark can reveal BLE communication patterns quickly — and that changes how mobile teams should think about BLE app design, testing, and security handoff.
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Part 3 of our GenUI series. The reality check: where the hype overshoots, why mobile raises the stakes, and why GenUI only pays off on clean, modernized code — not a tangled legacy app.
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Part 2 of our GenUI series. GenUI shows results — but where does the agent get its data and actions? MCP. We show how the two layers work together end to end: MCP fetches and acts, GenUI builds the interface on top.
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Part 1 of our GenUI series. Generative UI lets an AI assemble interfaces at runtime from your own widget catalog. We demystify the primitive, explain the A2UI protocol, and show where it genuinely earns its place.
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