Nidhi Sharma's contributions

Learn how AWS Lambda SnapStart reduces cold-start latency for container image functions, supported runtimes, and the considerations for snapshot-based initialization.

Learn how to run Claude Code with Amazon Bedrock in AWS GovCloud, including model availability, endpoint choices, IAM permissions, and compliance considerations for regulated workloads.

Learn how the Azure Cosmos DB extension for GitHub Spec Kit brings partitioning, access-pattern, and data-modeling guidance into AI-assisted spec-driven development.

Learn how Azure DevOps audit-event authorization is moving to Microsoft Entra ID and how to review service principals, tokens, and integrations for continued audit access.

Learn how the Azure DevOps Remote MCP Server lets AI agents access repositories, pull requests, work items, and pipelines, including permissions, workflows, and limitations.

Learn how GitHub Copilot model retirements affect developers and organizations, and how to review model selections, policies, integrations, and replacement-model behavior.

Explains how GitHub Copilot dynamic workflows adapt planning, repository exploration, code changes, and testing to complete multi-step development tasks.

Learn how AI agents use Azure DevOps Remote MCP to explore repositories, analyze pull requests, manage work items, and apply safe approval boundaries for write operations.

Learn how GitHub-hosted agents for Azure Pipelines use pay-as-you-go per-minute pricing, differ from parallel-job capacity, and affect agent selection and pipeline cost management.

Learn how to use the .NET Aspire 13.6 Dashboard terminal to inspect containers, troubleshoot configuration, and debug database connectivity in distributed applications.

Learn how to use .NET Aspire resource terminals to inspect containers, run diagnostics, check configuration, and troubleshoot services in distributed applications.

Learn how to connect AI agents to interactive .NET applications using structured events, ASP.NET Core streaming, Blazor, SignalR, and asynchronous agent workflows.

Learn how AI security agents can analyze Android repositories, identify attack surfaces, trace data flows, validate findings, and support vulnerability discovery.

Introduction Security tooling is easier to evaluate when developers can test it against real repositories instead of judging it from feature lists. GitHub Advanced Security, commonly called GHAS, brings several application security capabilities into the GitHub development workflow. These include cod

Learn how KV cache-aware routing reuses cached transformer attention states to reduce repeated prompt processing, lower latency, and improve GPU efficiency in LLM inference.

AI applications are moving beyond simple chat interfaces. Modern AI agents can call tools, retrieve information, execute workflows, ask for additional input, and perform multiple steps before producing a final response. However, many applications still present all of that activity through a basic te

Learn how OpenAI Codex cloud environments support remote, multi-device coding workflows, reproducible setups, dependency management, and test validation.

Learn how AI coding agents can work without sending source code to the cloud using local models, private repositories, network controls, sandboxing, and secure C# workflows.

Learn how long-running AI agents can recover from connection loss using durable state, retries, idempotency, checkpoints, and resilient C# workflow design.