Articles by Ananya Desai

Learn when to use GitHub Actions workflow_ref with reusable workflows, including workflow context, versioning, debugging, auditing, and SHA differences.

AI agents become useful when they can do more than generate text. A production agent often needs to retrieve information, call business APIs, access databases, work with documents, or invoke specialized tools. This creates an architecture problem: how should an AI model connect to those capabilities

Learn how to isolate AI agent sessions in Microsoft Foundry using session IDs, tenant boundaries, authorization, cache isolation, RAG filters, and secure tools.

Learn how to reduce GitHub Actions token permissions for Dependabot workflows using least privilege, job-level scopes, security boundaries, and troubleshooting.

temporary database access AI agents, C# AI agent database access, PostgreSQL temporary credentials, short-lived database access, PostgreSQL temporary roles, AI agent security, database least privilege, temporary PostgreSQL access, agent credential expiration, C# PostgreSQL security

Learn how NuGet trusted signer policies handle certificate changes, troubleshoot restore failures, verify new certificates, and safely update signing trust.

Learn how to find Node 20 dependencies in GitHub Actions, separate action and application runtimes, audit workflows, inspect actions, and plan safe migrations.

Learn how to migrate GitHub Actions from Node 20 to Node 24, identify affected actions, separate action and app runtimes, and update workflows safely.

Learn how GitHub renders million-line pull requests using virtualization, lazy loading, streaming, and efficient diff rendering to keep code reviews fast and responsive.

Learn how GitHub Copilot decides which tool calls need approval, covering assisted approvals, permissions, MCP tools, auto-approval, and enterprise controls.

Learn how GitHub Copilot tool approvals in JetBrains IDEs use assisted approvals, MCP controls, and permission settings to manage agentic coding safely.

Learn how GitHub Copilot MCP controls in JetBrains manage servers, individual tools, approvals, permissions, and enterprise policies for safer agentic development.

Explore GitHub Copilot for JetBrains 1.18, including agentic workflows, tool approvals, multi-file changes, testing, security, and project-aware development.

Understand GitHub Copilot usage metrics, including adoption, code generation, acceptance, and AI credits. Learn how to use the data effectively today.

Prepare for GitHub Copilot model changes in October 2026, review retiring models and replacements, and test your workflows before migration. Learn more.

Understand what happens when a GitHub Copilot model is deprecated, how migration works, and what to test. Check the impact on your workflows today.

GitHub Actions ARM64 runners require compatibility checks for native tools, Docker images, and dependencies. Learn what to check before switching safely.

Learn how to test .NET 11 Native AOT performance by comparing startup, memory, CPU, throughput, binary size, compatibility, and build time with JIT deployment.

Learn how .NET 11 improves UTF-8 performance on Arm64, including encoding, decoding, SIMD optimization, JSON processing, spans, allocations, and benchmarking.