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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.
Spring Boot 2.0: Reactive Starters and WebFlux Production Integration
Evaluating Spring Boot 2.0, Spring WebFlux, Project Reactor, and reactive application architecture for modern enterprise Java systems.
Vue.js 3.0 Release: Composition API, Teleport, and TypeScript Re-architecture
Vue.js 3.0 marks the most significant evolution of the Vue framework since its initial release. Built around a rewritten TypeScript-powered core, the release introduces the Composition API, Teleport, Fragments, improved reactivity, and numerous runtime optimizations designed to improve scalability, maintainability, and enterprise application development. This article examines Vue.js 3.0 from the perspective of September 2020.
Svelte v3 Adoption: How Compile-Time Frameworks Scaled in Production
Svelte v3 introduces a fundamentally different approach to frontend development by shifting work from the browser to the compiler. Instead of shipping a large runtime, Svelte generates optimized JavaScript during build time, reducing bundle size and improving runtime performance. This article examines Svelte v3 from the perspective of January 2020, exploring its architecture, enterprise implications, scalability, and production readiness.
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.
Svelte 3.0 Release: Compiler Reactivity without the Virtual DOM
Svelte 3.0 introduces a compiler-first approach to front-end development, shifting much of the framework's work from the browser to build time. By eliminating the Virtual DOM and embracing compiler-driven reactivity, Svelte aims to deliver smaller bundles, faster runtime performance, and a simpler developer experience. This article examines Svelte 3.0 from the perspective of May 2019.
Spring Framework 5.0 and WebFlux: Developing Non-Blocking Reactive Web APIs
The requested publish date is historically inconsistent with the topic.
Vue.js 2.0: Virtual DOM Implementation and Reactive Property Listeners
Vue.js 2.0 introduces a major architectural evolution with a Virtual DOM implementation, improved reactive data binding, faster rendering performance, and a more scalable component model. This article examines Vue.js 2.0 from the perspective of February 2016, evaluating its architecture, enterprise use cases, performance characteristics, and adoption considerations for modern web applications.
Reactive Extensions (Rx) in C#: Asynchronous Event Stream Processing
Reactive Extensions (Rx) introduces a declarative programming model for composing asynchronous and event-based applications in .NET. By treating events as observable data streams, Rx simplifies complex asynchronous workflows, improves code maintainability, and enables scalable event processing. This article examines Reactive Extensions from the perspective of September 2013, exploring its architecture, enterprise use cases, performance characteristics, and adoption strategies.
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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