Nidhi Sharma's contributions

Automate ASP.NET Core exception analysis with AI. Detect root causes, prioritize issues, and get remediation suggestions for faster troubleshooting.

Master distributed tracing with .NET Aspire. Build production-ready dashboards for faster troubleshooting, performance optimization, and enhanced reliability.

Enhance internal package discovery with AI. Build an ASP.NET Core platform using NuGet, Azure OpenAI, and vector search for faster development.

Streamline Kubernetes troubleshooting for .NET apps with AI. Reduce MTTR by analyzing logs, metrics, and events for faster root cause identification.

Build AI-powered technical debt prioritization systems with .NET, Azure OpenAI, and GitHub APIs for smarter engineering focus and reduced costs.

Secure .NET repos with AI secret detection. Prevent leaks, automate remediation, and enhance DevSecOps with Azure OpenAI & GitHub integration.

Enhance database schema evolution with Entity Framework Core and AI. Reduce risks, improve performance, and automate documentation for safer migrations.

Build intelligent API documentation portals with .NET & Azure AI. Automate generation, improve accuracy, and enhance developer experience.

Leverage Azure App Configuration and AI for intelligent, risk-free feature rollouts. Enhance safety, speed, and user experience with automated strategies.

Leverage AI for efficient C# codebase refactoring. Improve code quality, reduce technical debt, and boost developer productivity.

Build autonomous database optimization assistants with .NET and Azure AI. Enhance performance, reduce manual effort, and enable proactive management.

Implement production-ready AI feature flags in ASP.NET Core for safer deployments, gradual rollouts, and controlled AI feature management.

Automate technical standards compliance with AI. Enhance security, consistency, and scalability for enterprise software development.

Monitor AI applications beyond technical metrics. Track model impact on business outcomes, user experience, and operational efficiency for true AI value.

Build AI-powered architecture review assistants with ASP.NET Core to automate analysis, identify risks, and enhance expert decision-making in enterprise development.

Master AI context lifecycle governance for trustworthy, scalable AI. Manage business knowledge from creation to retirement.

Leverage AI for automated software release readiness checks, enhancing security, scalability, and reducing production incidents.

Build AI-powered application configuration advisors with .NET to proactively identify risks, optimize settings, and enhance security for improved reliability.

Master AI Lifecycle Management: Version models, prompts, and knowledge for reliable, transparent, and maintainable enterprise AI systems.

Build AI-powered enterprise search validation pipelines in ASP.NET Core to ensure accurate, trustworthy, and actionable information delivery.

Manage evolving business knowledge for AI. AI Context Versioning ensures accuracy, auditability, and consistency for intelligent systems.

Leverage AI for cloud capacity planning. Forecast future resource needs, optimize performance, and reduce costs with intelligent scaling.

AI Change Impact Analysis predicts software release risks by analyzing code, dependencies, and historical data, improving reliability.

Build AI-powered knowledge validation systems with .NET and ASP.NET Core to ensure accurate, consistent, and up-to-date organizational knowledge.

Master AI Context Lifecycle Management: Store, update, and retire context effectively for better AI responses and reduced costs.