Niharika Gupta's contributions

Learn how GitHub AI Scan APIs can automate AI-powered security checks across pull requests and integrate security analysis into modern development workflows.

Learn how GitHub Copilot Code Review can use shell tools to validate builds and tests, identify issues earlier, and improve pull request quality before merging.

Learn how truncated vectors in Azure AI Search reduce embedding size and search costs while balancing vector recall, storage requirements, and retrieval quality.

Learn how to use the Azure AI Search OneLake indexer to build RAG pipelines from Microsoft Fabric data, including indexing and retrieval architecture.

Learn how confidential computing can protect sensitive data during Azure AI Search vector operations and strengthen security for privacy-sensitive search workloads.

Learn how binary quantization works in Azure AI Search, when vector rescoring improves recall and relevance, and how to balance search quality with performance.

Learn how SharePoint Framework developer skills can help evaluate AI agent knowledge gaps, identify missing capabilities, and improve agent responses for SharePoint development.

Learn how SharePoint Framework developer skills can help evaluate AI agent knowledge gaps, identify missing capabilities, and improve agent responses for SharePoint development.

Learn how to use Azure Cosmos DB to build persistent AI agent memory, maintain cross-session context, store conversation data, and support scalable agent applications.

Learn how to implement Azure SQL retry logic in .NET using built-in Microsoft.Data.SqlClient capabilities to handle transient connection failures without Polly.

Learn how to build safer long-lived GitHub OAuth integrations by handling expiring tokens, token refresh, secure storage, authentication failures, and credential rotation.

Learn how to track GitHub Copilot token usage by model and analyze AI coding costs across development teams for better budgeting, governance, and optimization.

Measure GitHub Copilot with Gemini 3.7 Flash across coding speed, accuracy, token usage, cost, and developer productivity to understand its performance in real-world development tasks.

Learn how Windows App Development CLI 0.6 can automate WinUI 3 builds from the command line, simplifying project setup, compilation, packaging, and developer workflows.

Learn how GitHub Copilot MCP allowlists can secure AI agent tools in enterprise environments by controlling tool access, permissions, trusted servers, and agent capabilities.

Learn how to test GitHub Copilot agent plugins across VS Code and Copilot CLI, focusing on trust, permissions, reproducibility, tool access, and security controls.

Learn how to use CodeQL with GitHub Actions to detect workflow injection vulnerabilities, unsafe expressions, untrusted inputs, and CI/CD security risks before production.

Test GitHub Copilot Memory across agent sessions to evaluate repository context retention, consistency, scope, deletion behavior, and developer workflows.

Learn how to design enterprise MCP allowlists for GitHub Copilot agent tools, controlling tool access, permissions, security risks, and governance.

Learn how to test GitHub Copilot agent plugin trust across VS Code and Copilot CLI, including permissions, tool access, security, and reproducibility.

Learn how to secure GitHub Copilot in JetBrains with enterprise governance for MCP servers, plugins, permissions, managed settings, and developer access.

Learn how to use the Azure SQL Developer container to build local and offline .NET development environments with consistent database behavior for development and CI/CD.

Learn how GitHub Code Scanning mitigated alerts work and how security teams can document resolved risks without hiding important security information.

Explore CodeQL 2.26.3 security detection for GitHub Actions workflows and learn how to test CI/CD pipelines for workflow-related security vulnerabilities.