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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.
.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.
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.
.NET Core 3.0: Standardizing C# 8.0, gRPC Templates, and Assembly Linkers
.NET Core 3.0 marks a major milestone in Microsoft's cross-platform development strategy by introducing full support for C# 8.0, first-party gRPC templates, Windows desktop application support, and assembly trimming capabilities. These enhancements strengthen .NET Core as the preferred platform for modern enterprise applications, cloud-native services, and high-performance distributed systems. This article examines .NET Core 3.0 from the perspective of October 2019.
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.
.NET Core 2.0 and .NET Standard 2.0: Unifying APIs across Cross-Platform Runtimes
.NET Core 2.0 and .NET Standard 2.0 represent a major milestone in Microsoft's cross-platform strategy by significantly expanding API compatibility, improving portability, and simplifying code sharing across .NET implementations. This article examines the release from the perspective of August 2017, exploring the architecture, enterprise implications, runtime improvements, and adoption strategies for modern software development.
SQL Server on Linux: CoreCLR Compilation and SQLPAL Translation Layers
Microsoft's announcement of SQL Server for Linux marks one of the most significant platform shifts in the company's enterprise software strategy. Powered by the SQL Platform Abstraction Layer (SQLPAL), the Linux version preserves the SQL Server storage engine while adapting it to a new operating system. This article analyzes the announcement from the perspective of December 2016, exploring SQLPAL, platform abstraction, enterprise deployment, and architectural implications.
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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