Build Smarter.
Ship Faster.AI Agent DevelopmentAI Agent DevelopmentMulti-Agent AI & SwarmsAdvanced Hybrid RAG EnginesLLM Cost OptimizationLegacy .NET ModernizationEnterprise SaaS Engineering
Deep technical content on agentic AI systems, LLM cost optimization, Commander Architecture, and production SaaS engineering — from 18+ years of building.
React Native Release: Building Mobile Apps with Native UI Controls and JavaScript
Evaluating Facebook's React Native framework for developing native iOS applications using JavaScript and the React programming model.
Apple Swift: The Modern Successor to Objective-C for iOS and macOS
2 Apr 2014
Clean Architecture in Blazor Hybrid: Building a Highly Resilient, Offline-First .NET MAUI App
How we built ContactHub — a cross-platform .NET MAUI mobile client sharing 95% of its UI with a Blazor WebAssembly admin dashboard, featuring offline SQLite caching and network sync orchestration.
.NET MAUI vs Flutter vs React Native in 2025: The Enterprise Verdict
Three years into .NET MAUI's production life, we compare it head-to-head with Flutter and React Native across performance, developer experience, enterprise integration, and total cost of ownership — based on real production deployments across enterprise clients.
Multi-Experience Apps: One Back-end, Many Frontends
As digital ecosystems continue expanding, enterprises are no longer building applications for a single platform. Modern organizations increasingly serve customers across web browsers, native mobile apps, smart devices, conversational AI, kiosks, and connected vehicles using a shared backend architecture. This article explores Multi-Experience Development Platforms (MXDP) and the architectural principles behind building one backend that powers many frontend experiences, from the perspective of March 2024.
Building Your First .NET MAUI App: A Complete Step-by-Step Guide
Walk through building a complete cross-platform task manager in .NET MAUI — covering Shell navigation, MVVM with CommunityToolkit, local SQLite storage, API calls, swipe-to-delete, pull-to-refresh, and platform-specific customisation from a single C# codebase.
What Is .NET MAUI? Microsoft's Cross-Platform App Framework Explained
.NET MAUI is Microsoft's evolution of Xamarin.Forms — a single C# codebase for iOS, Android, macOS, and Windows apps. This guide covers the architecture, project structure, rendering model, Blazor Hybrid support, and when MAUI is the right choice for your enterprise mobile strategy.
React Native 0.62: Flipper Integration and Component Render Debugging
React Native 0.62 introduces native Flipper integration as the default debugging platform, improving inspection of layouts, network traffic, databases, logs, and React component rendering. Combined with Fast Refresh improvements and ongoing architecture refinements, this release significantly enhances developer productivity for enterprise mobile applications. This article examines React Native 0.62 from the perspective of February 2020.
SwiftUI and Combine: Developing Reactive Mobile Apps Natively on iOS 13
Introduced alongside iOS 13, SwiftUI and Combine represent Apple's most significant evolution in application development since Swift itself. SwiftUI introduces declarative user interface development while Combine provides a native reactive programming framework for asynchronous event processing. This article examines these technologies from the perspective of September 2019, evaluating their architecture, enterprise implications, performance characteristics, and adoption strategies.
React Native 0.60: Autolinking, CocoaPods Integration, and Hermes JS Engine Previews
React Native 0.60 introduces automatic native module linking, first-class CocoaPods integration for iOS, AndroidX migration support, and preview support for the Hermes JavaScript engine on Android. This article examines these capabilities from the perspective of July 2019, focusing on enterprise mobile architecture, build pipelines, performance considerations, and migration strategies.
Swift 4.2: Dynamic Member Lookup and Compiler Optimizations
Swift 4.2 continues Apple's rapid evolution of the Swift programming language by introducing compiler optimizations, developer tooling improvements, dynamic member lookup proposals, and numerous standard library refinements. This article examines Swift 4.2 from the perspective of September 2018, exploring its architecture, enterprise implications, performance enhancements, interoperability goals, and adoption strategy.
Android Jetpack: Modernizing Android Development with WorkManager and Navigation Components
Announced at Google I/O 2018, Android Jetpack introduces a comprehensive suite of architecture libraries designed to simplify Android application development. With components such as WorkManager, Navigation, ViewModel, LiveData, Room, and Paging, Jetpack aims to reduce boilerplate code, improve lifecycle management, and establish consistent architectural patterns for enterprise mobile applications. This article examines Android Jetpack from the perspective of May 2018.
iOS 11.3: Safari Native Service Workers and PWA Support
With iOS 11.3, Safari introduces native Service Worker support, enabling Progressive Web App (PWA) technologies on Apple's mobile platform. This milestone significantly improves cross-browser compatibility for offline web applications, intelligent caching, and background resource management. This article examines the announcement from the perspective of March 2018, evaluating its architecture, enterprise implications, performance characteristics, and adoption strategy.
Kotlin on Android: Google Announces Official First-Class Support at Google I/O
At Google I/O 2017, Google officially announced first-class support for Kotlin as a programming language for Android development. Developed by JetBrains, Kotlin introduces modern language features while maintaining full interoperability with Java. This article examines the announcement from the perspective of May 2017, exploring Kotlin's architecture, enterprise implications, performance characteristics, interoperability model, and adoption strategy.
Frequently Asked Questions.
Get all your answers here and if something remains, feel free to contact us directly or book a strategy session.
We design and build agent-native custom software architectures from day one. Instead of simply building bolt-on API wrappers, we deploy multi-agent orchestration systems (like our Commander Architecture), run local secure LLMs to slash token expenses by 40–70%, and modernize legacy Microsoft ecosystem codebases to modern AI-native structures.
It is our proprietary 5-agent pipeline framework. High-tier cloud models (like Claude Opus) act as 'Supreme Commanders' to analyze complexity and structure task files, which are then processed at high concurrency by local models (like Qwen on Ollama) at around $0.001 per task, drastically lowering API costs.
By integrating custom prompt caching strategies and context-aware semantic routing, we achieve a prompt cache hit rate of ~90%. This bypasses redundant processing of duplicate context instructions to dramatically slash monthly token bills.
We specialize in modern high-performance tech stacks: Next.js/React, Drizzle ORM, SQLite/PostgreSQL databases, .NET Core 8 cloud services, React Native/Expo for mobile apps, and cognitive frameworks such as Semantic Kernel, FastAPI, and Neo4j Knowledge Graphs.
We implement secure architectures by deploying local LLMs inside your virtual private cloud (VPC), ensuring sensitive data never leaves your environment. We also establish strict end-to-end data encryption, audit trails, and role-based access control.
Yes, we specialize in converting legacy systems (WinForms, WPF, ASP.NET WebForms) to modern, distributed systems built on modern .NET 8, micro-frontend architectures, and containerized Docker services running in AWS/Azure.
A typical proof of concept (PoC) takes 2 to 4 weeks. Full enterprise agent orchestration systems or multi-agent swarms integrated with your legacy APIs take about 8 to 12 weeks to build, test, and deploy to production.
Absolutely. We build React Native applications using local SQLite databases (via Drizzle or WatermelonDB) that can perform complex tasks offline and sync changes securely with the cloud server once internet connectivity is restored.
Speculative decoding uses a small, fast model to suggest draft tokens, which are verified in parallel by a larger target model. This speeds up text generation by 2x to 3x and cuts down latency without losing output quality.
Yes. All custom code, agent system designs, proprietary database configurations, and custom integration scripts developed during our engagement are 100% owned by your company from day one.
Client Impact & Success
"SHIVAM ITCS completely transformed our content workflow. Their Commander Architecture cut our monthly LLM cost by 65% while keeping quality pristine."
Partner with SHIVAM ITCS to build resilient, scalable systems. Our senior engineering teams specialize in enterprise AI orchestration, legacy modernization, and high-performance cloud architecture.
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