Riya Patel's contributions

Learn how Kubernetes 1.37 native histograms improve Prometheus latency metrics while supporting existing dashboards and observability workflows.

Explore GitHub Copilot CLI HydraFusion and compare multi-model coding workflows with single frontier models for cost, performance, and AI-assisted development efficiency.

Learn how to measure the cost of automatic model fallbacks in Microsoft Foundry Model Router and evaluate model routing, usage, and AI workload expenses.

Learn how to monitor Microsoft Foundry Model Router requests, track model fallbacks, measure routing latency, and improve observability across AI workloads.

Learn how to use the Azure Content Understanding CLI to test document analyzers from the command line and evaluate document processing workflows.

Learn how Microsoft Graph agent identity blueprints can manage agent identities, disable agents without deleting configuration, and support safer lifecycle management.

Explore how GPT-6 Astra performs on real C# development tasks, including code generation, debugging, refactoring, problem solving, and practical programming workflows.

Learn how to perform zero-downtime SQL Server schema changes for .NET applications using safer deployment strategies, compatibility techniques, and database migration practices.

Learn how to expose one .NET AI agent through chat, A2A, and MCP channels using Microsoft Agent Framework while maintaining reusable logic, consistent state, and enterprise integration.

Learn how to implement AI agent observability in .NET by tracking tool calls, token usage, latency, failures, execution traces, and other production agent metrics.

Explore an agentic AI verification framework that combines AI evaluation, human review, and deterministic tests to improve the reliability, safety, and governance of enterprise AI agents.

Learn how to use Azure SQL developer containers to create reproducible local SQL Server environments for .NET development, testing, database setup, and team collaboration.

Benchmark .NET builds on GitHub Actions Windows 11 ARM64 runners versus x64, comparing build time, performance, compatibility, resource usage, and CI efficiency.

Compare AI-generated SQL with human-written SQL across query correctness, execution plans, latency, resource usage, database cost, and performance using reproducible benchmarks.

Measure Azure Content Understanding for agentic document extraction by evaluating extraction accuracy, processing cost, latency, and complex document handling.

Benchmark semantic chunking in Azure Content Understanding for enterprise RAG and measure retrieval accuracy, context quality, latency, and processing costs.

Benchmark Microsoft Foundry Hosted Agents for .NET by measuring deployment time, startup overhead, resource usage, and the operational cost of hosted AI agents.

Learn how to build an automated compatibility test suite for GitHub Copilot model deprecations and validate code generation, quality, behavior, and migration risks.

Test GitHub Copilot memory in JetBrains IDEs with large enterprise codebases and evaluate context retention, code relevance, performance, and developer rework.

Learn how GitHub Copilot Enterprise policies can manage AI coding agents across developer teams, including permissions, governance, settings, and team-specific controls.