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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.
CSS Scroll Snapping Browser Support: Designing Mobile Galleries Without JavaScript Plugins
With growing browser support for CSS Scroll Snap, web developers can increasingly build native touch-based galleries, sliders, onboarding screens, and product showcases without relying on JavaScript carousel plugins. This article examines CSS Scroll Snap from the perspective of June 2019, analyzing its architecture, browser support, enterprise use cases, performance implications, and adoption strategy.
Responsive Images: Navigating the picture Tag, srcset, and Fluid Viewports
As responsive web design becomes mainstream, developers are facing new challenges around efficiently delivering images to smartphones, tablets, and desktop browsers. Emerging standards such as the proposed picture element and srcset attribute seek to address these issues. This article examines responsive image techniques from the perspective of September 2013, exploring current proposals, implementation strategies, performance implications, and enterprise adoption considerations.
The Responsive Web: Retrospective on Design Standardizations of 2012
Throughout 2012, responsive web design evolved from an experimental development approach into a practical enterprise strategy for supporting desktops, tablets, and smartphones with a unified codebase. Driven by advances in CSS3, HTML5, media queries, fluid layouts, and mobile browser capabilities, responsive design is reshaping how organizations build and maintain modern web applications. This article reviews the major developments of 2012 and examines their enterprise implications from the perspective of December 2012.
Mobile Web vs. Native Apps: Deciding the Strategy for 2011
As smartphones and tablets continue their rapid adoption, enterprises must determine whether to invest in mobile web applications, native apps, or a combination of both. This article examines the strengths, limitations, architectural considerations, and enterprise use cases of each approach from the perspective of mid-2011.
jQuery Mobile and the Mobile Web: Building Cross-Platform Touch UIs
The rapid growth of smartphones is forcing enterprises to rethink how they deliver applications to employees and customers. jQuery Mobile introduces a framework focused on creating touch-friendly, cross-platform web interfaces using HTML5, CSS3, and JavaScript. This article examines its architecture, capabilities, limitations, and enterprise adoption considerations from the perspective of October 2010.
Responsive Web Design: Why Fluid Grids and Media Queries Are the Future of Mobile Web
As smartphones and mobile browsers continue to evolve in 2010, enterprises are rethinking traditional fixed-width websites. This article explores fluid grids, flexible images, and CSS3 media queries, examining how responsive web design can reduce development complexity while improving user experience across desktops and mobile devices.
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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