AI Code Tools: What They Really Do (And When to Build)
AI code tools speed up development, but they're assistants, not replacements. Here's what they handle well, where they fail, and when custom AI development makes sense.
Read MoreAI-Native Engineering
Initializing AI stack…
We design and engineer iOS, Android, and cross-platform mobile applications that users love and businesses rely on — from MVP to enterprise-grade production systems.
Every engagement comes with these capabilities tailored to your requirements.
Native iPhone and iPad apps built with Swift and SwiftUI, fully optimised for Apple's Human Interface Guidelines. We handle App Store submission, TestFlight distribution, and in-app purchase integration.
Production-grade Android apps crafted in Kotlin with Jetpack Compose UI. We cover Google Play submission, adaptive layouts for phones and tablets, and deep-link/widget support.
Single codebase, two platforms. We build high-performance apps with React Native or Flutter that look and feel native on both iOS and Android, reducing time-to-market significantly.
Component-driven UI built directly from your design system with fluid transitions, gesture-driven interactions, and 60 fps animations that delight users on every tap.
Seamless integration with REST, GraphQL, and third-party SDKs (payments, maps, auth). Offline-first architecture with local caching ensures the app works even without a connection.
Deep domain expertise across regulated and high-growth sectors in the GCC and globally.
A proven engagement process with complete visibility at every stage.
Platform selection, user research, technical architecture, and a signed-off project specification.
Figma wireframes → high-fidelity interactive prototypes → usability testing with target users.
Two-week sprints with a working build reviewed at the end of every sprint. Full CI/CD from day one.
Automated test suites, 30+ device matrix, accessibility audit, and performance profiling.
App Store and Play Store submission, review management, metadata optimisation, and launch monitoring.
Crash monitoring, OS update compatibility, A/B tests, and iterative feature releases.
Answers to the questions our clients ask most before engaging.
Real outcomes from real engagements.
IoT sensor data pipeline and ML-powered predictive maintenance system predicting equipment failures 48 hours in advance — reducing unplanned downtime by 35% for an energy infrastructure operator.
AI-powered citizen knowledge base with Arabic-English RAG pipeline serving 2M+ monthly queries for a GCC government ministry — deflecting 78% of call centre volume while maintaining 99.2% response accuracy.
Real-time shipment intelligence platform processing 500K daily tracking events with ML-powered exception prediction — cutting delivery exceptions by 40% for a regional logistics operator.
Deep-dive articles from our engineers on this service area.
AI code tools speed up development, but they're assistants, not replacements. Here's what they handle well, where they fail, and when custom AI development makes sense.
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