← heapsort-ai

mobile development

20 items

ARTICLEDEV.to AI·4/9/2026

Run Cursor-Level AI from Your iPhone in 2026

O artigo explora como levar recursos de IA para codificação, similares aos do Cursor, para iPhones até 2026, superando a limitação de desktop. A solução proposta é usar agentes de IA baseados em terminal, como Claude Code ou Codex CLI, acessados via SSH em servidores de desenvolvimento, permitindo interação completa com o código e execução de comandos em dispositivos móveis.

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ARTICLEDEV.to AI·4/17/2026

AI Tools That Build Complete Mobile Apps vs Single-Screen Generators

This article distinguishes between AI tools that build complete, interconnected mobile apps from a single workflow and those that merely generate individual, disconnected screens. It highlights the importance of coherent UI logic, navigation, and user flow for a truly shippable product, evaluating leading AI app builders against this critical distinction.

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ARTICLEDEV.to AI·4/26/2026

Why Mobile AI Projects Fail When the Board Says Add AI: 2026 Analysis for US Enterprise

This article analyzes why board-mandated mobile AI projects often fail in US enterprises, with 70% not reaching the App Store as announced. It covers five common failure modes, their practical manifestations, and prevention strategies, often due to a lack of defined scope, realistic technical decisions, or experienced vendors.

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ARTICLEDEV.to AI·4/27/2026

Quem é Arnaldo Tomo?

Arnaldo Tomo is a Mozambican fullstack developer specializing in web and mobile applications, system integration, and APIs, using technologies like Laravel and React Native. He focuses on creating scalable and efficient solutions for real-world problems, especially in the African context, and has developed systems such as a Disaster Monitoring System.

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