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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.
Native AOT in .NET 10: Reducing Server Cold Starts and Memory Footprint for AI Gateways
Learn how Native AOT in .NET 10 improves AI gateway performance by minimizing cold starts, reducing memory consumption, and accelerating cloud-native deployments.
.NET Core 3.0 Previews: Desktop App Support and C# 8.0 Nullable References
29 Apr 2019
Is ASP.NET Core Still Relevant in 2026? Yes, and Here’s Why
Is ASP.NET Core still relevant in 2026? Absolutely. While JavaScript ecosystems dominate rapid product development and Python leads AI workloads, ASP.NET Core remains a powerful choice for secure, scalable, maintainable, and mission-critical enterprise systems. The future is not one framework—it is intelligent architecture using the right technology for each workload.
Deep Dive into .NET 10: Building High-Throughput Microservices for Agentic Systems
Discover how .NET 10 empowers enterprises to build scalable, resilient, and high-throughput microservices that power modern Agentic AI systems with low latency, efficient communication, and production-grade reliability.
Blazor in 2025: Is It Ready for Enterprise Production?
Five years after its launch, Blazor has matured significantly across rendering models, ecosystem, tooling, and performance. This honest enterprise assessment covers .NET 8 unified rendering, production architecture patterns, the component ecosystem in 2025, and where Blazor is genuinely the right choice versus where it still falls short.
Blazor Server vs Blazor WebAssembly: Which Should You Choose for Enterprise?
Blazor comes in two fundamentally different hosting models — Server and WebAssembly. Each has distinct architecture, performance, and scalability trade-offs. This guide breaks down the real enterprise decision with production-tested insights from deploying both models at scale.
.NET 5.0 Release: Unifying .NET Core, Mono, and C# 9.0 Record Types
.NET 5 marks Microsoft's most significant platform release since .NET Core, establishing a unified development platform that brings together .NET Core, Mono, and the broader .NET ecosystem. Combined with C# 9.0 features such as Record Types, top-level programs, and performance improvements, .NET 5 strengthens Microsoft's vision for modern cloud-native, desktop, web, and mobile application development. This article examines .NET 5 from the perspective of November 2020.
Getting Started with Blazor WebAssembly: Build Browser Apps with C#
Blazor WebAssembly lets you run C# directly in the browser — no JavaScript required. Here's a comprehensive guide to building your first real app with full code examples, lifecycle methods, authentication, state management, and production optimisation strategies.
.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.
.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.
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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