Articles by Saurav Kumar

Design AI-native Internal Developer Platforms with .NET Aspire for faster delivery, enhanced productivity, and intelligent automation.

Build robust AI Knowledge Governance Frameworks to ensure accurate, secure, and compliant AI knowledge assets for trustworthy AI.

Ensure AI success with Operational Readiness Reviews. A guide for solution architects on evaluating production readiness for AI systems.

Design AI-aware event streaming architectures with Kafka & .NET for real-time insights, fraud detection, personalization, and intelligent automation.

Unlock actionable insights from customer feedback with AI-powered .NET systems. Enhance products, boost satisfaction, and drive growth.

Streamline enterprise AI adoption with a centralized service catalog. Discover, govern, and reuse AI models, services, and prompts.

Empower dev teams with self-service AI platforms. Accelerate AI adoption, reduce bottlenecks, and ensure governance with .NET & ASP.NET Core.

Unlock AI-powered feature impact analysis for product teams. Understand user behavior, predict outcomes, and drive data-driven decisions with .NET.

Scale enterprise AI across teams with design patterns. Ensure consistency, governance, and efficiency for multi-team software development.

Leverage AI for efficient technical debt analysis in large enterprise apps. Improve code quality, reduce costs, and boost developer productivity.

Enhance CI/CD with AI-powered deployment verification. Detect issues early, ensure quality, and improve confidence with intelligent analysis.

Build robust enterprise AI approval workflows with ASP.NET Core and Azure OpenAI. This guide details how to integrate AI recommendations with human oversight for critical business decisions, ensuring accountability, compliance, and efficiency through structured processes, role-based routing, and audit trails.

Build smarter AI apps by combining Azure OpenAI & open-source LLMs. Optimize cost, performance, and governance with multi-model architectures.

Transform data into actionable insights with AI Analytics Assistants. Build them using .NET, Azure AI Search, and Azure OpenAI.

Automate software release notes with ASP.NET Core, Azure OpenAI, and Semantic Kernel. Streamline documentation and improve communication.

Track AI token usage and spending in real-time with AI cost dashboards. Optimize budgets and AI workloads for sustainable growth.

Optimize AI apps with semantic caching. Reduce costs, boost speed, and improve scalability by understanding user intent, not just exact wording.

Build AI-ready data pipelines with .NET for modern apps. Ensure quality, accessibility, and organization for LLMs, RAG, and AI agents.

Unlock organizational knowledge with AI search. Build conversational platforms for natural language Q&A, boosting productivity and efficiency.

Leverage AI for faster production incident root cause analysis. Discover how AI systems analyze data, correlate events, and improve MTTR.

Track key AI adoption metrics for engineering leaders: usage, productivity, quality, financial, and operational. Drive value & ROI.

Manage AI instructions at scale with Enterprise Prompt Libraries for consistency, governance, and reusability. Optimize AI adoption.

Discover Intent-to-Application Platforms: AI transforms software delivery by converting natural language into applications, accelerating innovation.

Design AI-augmented developer workflows to boost productivity without sacrificing code quality. Learn best practices for balancing AI assistance with engineering rigor.