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If you’re a CTO in 2025, chances are your CEO, board, or investors are already asking: “What’s our AI strategy?”
The problem? AI is both overhyped and underutilized at the same time. Startups often chase shiny AI trends without considering real use cases, while others avoid AI entirely because it feels too complex.
The truth lies in between. For CTOs, the challenge isn’t adopting AI—it’s knowing where AI actually drives value and where it’s just noise.
Developer Productivity
Product Features
Data Insights
Operations & Monitoring
“Replace Developers with AI”
We’ve all seen the headlines. Reality: AI speeds up developers, but it can’t design scalable systems, make tradeoffs, or understand business context.
AI for AI’s Sake
Building a chatbot or adding “AI” to the pitch deck isn’t strategy. CTOs need to connect AI to real business value, not just buzzwords.
Over-Engineering AI Infrastructure Too Early
Training massive models in-house? That’s a distraction for 99% of startups. Use APIs and managed services until scale truly requires custom AI.
For CTOs, AI is a double-edged sword. Done right, it accelerates development, enhances products, and sharpens decision-making. Done wrong, it drains resources chasing hype.
At TLVTech, we help startups and CTOs cut through the noise—deploying AI where it creates impact, not overhead.
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- Cross-platform app development uses a single code base for apps across different platforms, saving time and reducing cost, but can suffer performance issues. - Android and iOS app development differ significantly in coding languages, design styles, test complexity, and device complexity; Android uses Java and Kotlin while iOS favors Swift and Objective-C. - App development cost ranges between $5,000 to $500,000, influenced by factors like time, team size, and tech stack with monetization plans like in-app ads and subscriptions helping recoup costs. - Developer salaries vary by region and expertise; junior iOS developers in Texas earn between $50,000-$75,000 annually while in Europe, it's between €40,000-€70,000. - Essential tools for mobile apps include coding frameworks like Flutter and Kotlin, development platforms like Android Studio and XCode, and design tools like Adobe XD and Sketch. - Choosing the right tool or framework involves assessing app needs, usability of tools, proficiency, and understanding features of different tools like Flutter, React Native, and Xamarin. - Leading companies in Android and iOS app development include Apple, Google, Adobe (for cross-platform), Hyperlink InfoSystem, and OpenXcell.
- Functional Reactive Programming (FRP) links time and change. Each element isn't static, but changes over time. - FRP's main concept is the signal - a value that changes over time. - FRP can be viewed as event streams, property changes, or signal changes. - Functional programming defines what to do, making code cleaner. Reactive programming responds to changes. - Functional programming avoids changing state and mutable data, while reactive programming manages state changes. Both can be combined in FRP. - FRP can be used in various programming languages like Haskell, Java, and Scala using libraries such as reactive-banana and RxJava. - FRP can be learned through books, tutorials, online courses, and hands-on practice. - FRP simplifies data flow handling in mobile app and game development, leading to more seamless user experiences. - FRP benefits real-world applications. It manages multitasking effectively, especially in real-time applications, and is excellent for iOS development.
