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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.
High-Performance Web with WASM and Edge Compute
14 Jul 2023
React 16.5: Profiler Integration and Component Render Performance Auditing
React 16.5 introduces the Profiler API through the react-dom/profiling package, giving development teams a standardized way to measure rendering performance and identify component bottlenecks. Combined with ongoing Fiber improvements and enhanced Developer Tools support, React 16.5 strengthens performance engineering for enterprise-scale applications. This article examines React 16.5 from the perspective of August 2018.
Webpack 3.0: Scope Hoisting and Bundle Loading Optimizations
Webpack 3.0 introduces Module Concatenation through scope hoisting, reducing wrapper overhead and improving JavaScript execution performance. Combined with continued optimization of code splitting, tree-aware bundling workflows, and production build capabilities, Webpack continues to mature as the de facto module bundler for enterprise web applications. This article evaluates Webpack 3.0 from the perspective of October 2017.
HTTP/2 Server Push: Evaluating Real-World Performance and TCP Head-of-Line Bottlenecks
One year after HTTP/2 standardization, enterprise teams are beginning to evaluate Server Push in production environments. While the feature promises lower latency by proactively delivering resources before browsers request them, real-world deployments reveal important considerations involving cache efficiency, bandwidth usage, prioritization, and TCP head-of-line blocking. This article examines HTTP/2 Server Push from the perspective of January 2017.
React 15.3: React.PureComponent and Shallow Component Comparators
React 15.3 introduces React.PureComponent as a simplified mechanism for reducing unnecessary component rendering through shallow property and state comparisons. This article examines the architecture, rendering lifecycle, comparison algorithms, performance implications, and enterprise adoption considerations from the perspective of July 2016.
PHP 7.0 Previews: Memory Allocations and the Zend Engine 3 Redesign
PHP 7.0 preview releases introduce one of the most significant architectural upgrades in PHP's history. Centered around the redesigned Zend Engine 3, the upcoming release focuses on reduced memory consumption, improved execution performance, and better scalability for enterprise applications. This article analyzes PHP 7.0 previews from the perspective of September 2015.
Web Workers: Running Asynchronous JavaScript Threads to Prevent UI Freezes
As enterprise web applications become increasingly sophisticated, long-running JavaScript operations can block the browser's user interface, leading to sluggish interactions and poor user experience. HTML5 Web Workers provide a standardized mechanism for executing JavaScript in background threads, enabling computationally intensive tasks to run without freezing the main UI thread. This article examines Web Workers from the perspective of July 2014, exploring their architecture, enterprise use cases, security considerations, performance implications, and best practices.
AngularJS $digest Loop: Optimizing Watchers and Databinding Performance
AngularJS has introduced a productive framework for building Single Page Applications by simplifying data binding, dependency injection, and client-side application architecture. At the heart of AngularJS lies the $digest loop, the mechanism responsible for synchronizing models and views. While powerful, inefficient watcher management can significantly impact application performance. This article examines AngularJS's digest cycle from the perspective of October 2013, exploring its architecture, enterprise optimization strategies, and best practices.
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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