Riya Patel's contributions

WinAppCLI 0.7 adds Windows Sandbox automation and Native AOT support for repeatable Windows application testing, installer validation, and command-line workflows.

Learn how Azure Functions managed connectors use triggers and SDK actions to integrate with SharePoint, Teams, Microsoft 365, and other enterprise services.

Learn how Data API Builder 2.1.5 exposes JSON and vector database columns through REST and GraphQL APIs for flexible metadata and AI semantic-search workloads.

Learn how MSTest 4.5 and Microsoft.Testing.Platform run UWP and WinUI 3 UI tests on the application UI dispatcher, including packaged and unpackaged app scenarios.

Learn how Amazon Bedrock and GLM 5.3 can support coding agents for code generation, testing, debugging, and controlled tool-based development workflows.

Learn how SQLAlchemy 2.1 supports Microsoft's mssql-python driver for connecting Python applications to SQL Server using the mssql+python dialect.

Learn how Blazor applications can support streaming AI responses and agent workflows, including UI updates, deployment models, and secure handling of AI credentials.

Learn how to route Dependabot pull request workflows to dedicated GitHub Actions runners and design isolated, least-privilege self-hosted runner environments.

Learn how Google Cloud Data Agent Kit uses MCP tools and agent skills to help coding agents discover schemas, query data, inspect pipelines, and work with Google Cloud services.

Learn how AWS AgentCore ambient agents use events such as S3 uploads and scheduled jobs to start AI workflows, with optional human approval and automated execution.

Learn how to run GitHub Dependabot updates on self-hosted runners, including network design, private registry access, credentials, runner labels, and security considerations.

Learn how npm Trusted Publishing uses OIDC to publish packages from CI/CD workflows without storing long-lived npm access tokens.

Learn what to review when upgrading to Git 2.56, including scripts, CI/CD tooling, repository maintenance, IDE integrations, and large-repository performance.

Learn how to build Blazor AI components that stream model responses, update the UI incrementally, and display tool activity and completed results.

GitHub repositories usually contain technical information such as source code, workflows, issues, pull requests, releases, and dependency configuration. As an organization grows, another problem appears: technical metadata does not always tell you how a repository is used by the business. For exampl

Learn how malicious package installation scripts can access developer credentials and become a path to cloud compromise, and how least privilege and credential isolation reduce the risk.

AI agents are moving beyond simple question-and-answer workflows. A modern agent can search databases, call APIs, execute functions, read documents, send messages, create tickets, update records, and interact with external systems. That capability makes agents useful, but it also introduces a new se

Learn how Chrome DevTools AI can help analyze performance traces, identify bottlenecks, and guide debugging while keeping measurement and validation in the developer's hands.