Articles by Saurav Kumar

Secure AI agents by rigorously testing authorization, preventing unauthorized data access, and validating every interaction path. Essential for robust AI security.

Learn how to audit AI-generated unsafe C# code by reviewing pointer lifetimes, buffer bounds, stackalloc usage, interop, and caller safety contracts.

Measure AI coding agent productivity beyond vanity metrics. Focus on delivery, quality, rework, and developer experience for true value.

Prevent architecture drift with executable dependency rules. Turn architectural decisions into automated tests for C# applications using ArchUnitNET.

Implement capability-based security for AI tool plugins to grant agents only necessary permissions, ensuring granular control and preventing privilege escalation.

Prevent knowledge debt in AI-assisted development by ensuring developer understanding, not just code generation. Optimize workflows for learning and oversight.

Benchmark Azure Linux vs. Debian for .NET containers. Explore performance, startup, image size, and security for informed OS choices.

Benchmark SQL Server vector search with EF Core. Explore exact vs. approximate search, performance factors, and best practices for RAG.

Benchmark ASP.NET Core API HTTP/3 performance under real-world load. Measure latency, throughput, CPU, and memory for accurate insights.

Unlock enterprise AI insights with Microsoft Fabric & Power BI. Monitor adoption, optimize costs, and enhance governance for AI usage analytics.

Automate software architecture validation with ArchUnitNET for ASP.NET Core. Ensure clean architecture, detect violations early, and integrate into CI/CD.

Benchmark ASP.NET Core HTTP/3 vs HTTP/2 for production. Understand QUIC, latency, throughput, and resource metrics for informed protocol adoption.

Build enterprise AI knowledge sync pipelines with Microsoft Graph. Ingest, process, and secure Microsoft 365 data for relevant, scalable AI.

Build resilient, asynchronous AI agent workflows with Azure Service Bus and .NET, overcoming synchronous bottlenecks for enterprise tasks.

Optimize LLM costs with a cost-aware AI routing architecture. Reduce expenses, enhance resilience, and manage budgets effectively.

Build AI evaluation dashboards with MLflow & Databricks for GenAI. Move beyond accuracy to measure faithfulness, relevance, and cost.

Standardize enterprise AI agent communication with FIPA-ACL inspired protocols in .NET for reliable task delegation and negotiation.

Learn to load test ASP.NET Core APIs with k6, monitor latency and throughput, and use OpenTelemetry traces and metrics to identify performance bottlenecks.

Build enterprise AI agents with Neo4j and C#. Learn to model relationships, integrate with ASP.NET Core, and enhance LLM reasoning.

Build scalable, responsive AI workflows with Azure Event Grid and .NET. Decouple services for efficient, event-driven asynchronous processing.

Build global .NET apps with multi-region Redis. Explore patterns, optimize latency, availability, and disaster recovery.

Master CQRS with MediatR in ASP.NET Core 11. Separate reads/writes, simplify logic, and build scalable, maintainable apps.

Master API versioning in ASP.NET Core 11. Learn strategies, implementation, and best practices for seamless evolution and backward compatibility.

Learn how to build event-driven .NET services with RabbitMQ, including exchanges, queues, consumers, acknowledgments, dead-letter queues, and performance testing.

Boost ASP.NET Core app performance with Redis distributed caching. Learn patterns, implementation, and evaluation for scalability.