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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.
Beyond Serverless Functions: The Event-Driven, Cloud-Native Application
24 Feb 2024
Rethinking Legacy Systems with Modernization Patterns
14 Jan 2023
Spring Boot 2.0: Reactive Starters and WebFlux Production Integration
30 Apr 2018
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.
Software Architecture in the Age of Agents: Patterns, Anti-Patterns & Future States
Learn how software architecture is evolving in the age of AI agents. Discover proven architecture patterns, common anti-patterns, distributed agent ecosystems, event-driven systems, and enterprise design principles for next-generation intelligent applications.
Composable Business Logic: Feature Modules as Independent Products
Learn how modern enterprises are replacing monolithic business logic with composable feature modules, enabling independent development, deployment, versioning, and AI-ready business capabilities across distributed platforms.
Micro-Service Meshes + AI Ops: Self-Optimising Systems
Learn how enterprises integrate Service Mesh architectures with AI-driven operations to enable intelligent traffic routing, predictive scaling, autonomous remediation, and self-optimizing cloud-native systems.
API Monetization & Internal Marketplaces: Software as a Platform
By 2024, APIs have evolved beyond integration mechanisms into strategic business products. Organizations are building internal API marketplaces, developer portals, usage-based monetization models, and platform engineering capabilities that transform software into reusable enterprise services. This article explores how API monetization and internal marketplaces are redefining software platforms from the perspective of August 2024.
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.
Intelligent APIs with AI Assistants
The emergence of Large Language Models (LLMs) and AI assistants has transformed APIs from simple request-response interfaces into intelligent service layers capable of understanding natural language, reasoning over enterprise data, and orchestrating complex workflows. This article explores the architectural patterns, opportunities, and challenges of building AI-powered APIs from the perspective of June 2023.
Evolution of Serverless Beyond Functions
Serverless computing has matured far beyond simple Function-as-a-Service (FaaS). By early 2023, cloud providers increasingly offer serverless databases, containers, messaging, workflows, APIs, and event-driven integration services that enable organizations to build complete cloud-native platforms without managing infrastructure. This article examines the evolution of serverless computing from the perspective of March 2023.
Distributed Architectures in the Post-Pandemic Era
The COVID-19 pandemic fundamentally changed enterprise software architecture. Organizations accelerated cloud adoption, remote work, digital services, and globally distributed applications. This article examines how distributed architectures have evolved in early 2022, the technologies enabling them, and the architectural principles enterprise teams should adopt for resilient, scalable systems.
Go 1.14: Production Modules and Goroutine Preemptive Scheduling
Go 1.14 continues the language's focus on simplicity, reliability, and operational efficiency by stabilizing Go Modules for production development and introducing asynchronous goroutine preemption. These enhancements improve dependency management, reduce scheduler latency, and strengthen Go as a platform for cloud-native services, distributed systems, and enterprise backend applications. This article examines Go 1.14 from the perspective of February 2020.
Kubernetes 1.11: IPVS Load Balancing and CoreDNS Cluster Integrations
Kubernetes 1.11 introduces major networking improvements with IPVS-based Service load balancing reaching General Availability and CoreDNS graduating to beta as a replacement for kube-dns. These enhancements improve scalability, networking performance, operational simplicity, and DNS reliability for production Kubernetes clusters. This article examines Kubernetes 1.11 from the perspective of July 2018.
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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