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GitHub Copilot's New Default Settings: What Should Admins Review Before October?
Learn how GitHub Copilot's new default feature policy affects admins before October 22, including unconfigured features, organization settings, security, and governance.
Can Copilot Code Review Handle Million-Line Pull Requests?
Learn how GitHub Copilot handles million-line pull requests, including context limits, large diffs, generated code, AI review quality, and practical testing strategies.
GitHub Copilot Code Review - What Changed in the Latest Update?
Learn how GitHub Copilot code review works, what changed in its latest workflow, and how developers can verify AI suggestions with human and automated checks.
Testing GitHub Copilot Sandbox Rules Before Using Them in a Project
Learn how to test GitHub Copilot sandbox rules for filesystem, network, Git, credentials, builds, and permissions before using an AI coding agent on projects.
How GitHub Rendered a Million-Line Pull Request
Learn how GitHub renders million-line pull requests using virtualization, lazy loading, streaming, and efficient diff rendering to keep code reviews fast and responsive.
How GitHub Copilot Decides Which Tool Calls Need Approval
Learn how GitHub Copilot decides which tool calls need approval, covering assisted approvals, permissions, MCP tools, auto-approval, and enterprise controls.
GitHub Copilot's New Tool Approvals in JetBrains IDEs
Learn how GitHub Copilot tool approvals in JetBrains IDEs use assisted approvals, MCP controls, and permission settings to manage agentic coding safely.
GitHub Copilot MCP Controls in JetBrains: What Developers Can Manage
Learn how GitHub Copilot MCP controls in JetBrains manage servers, individual tools, approvals, permissions, and enterprise policies for safer agentic development.
Can GitHub Copilot Approve a Pull Request?
Learn how GitHub Copilot can approve pull requests, how approval assessments work, and how organizations can configure reviews, rulesets, paths, and human approval.
Using GitHub Copilot with Repository Custom Properties
Learn how GitHub Copilot helps suggest repository custom property values and how structured metadata supports repository organization, automation, and governance.
How GitHub Copilot Helps Set Repository Custom Properties
Learn how GitHub Copilot helps define repository custom properties, suggest allowed values, standardize metadata, and support repository governance and automation.
Using AI-Approved Pull Requests Safely with GitHub Copilot
Learn how to use GitHub Copilot pull request approvals safely with tests, security checks, path restrictions, repository instructions, and human review.
GitHub Copilot Auto Mode: Does the Intelligence Tier Really Improve Coding Results?
Explore whether GitHub Copilot Auto's intelligence tier improves coding results by comparing response quality, reasoning, accuracy, and developer productivity.
How to Connect Jira Cloud to Microsoft 365 Copilot: A Step-by-Step Guide
Learn how to configure the Microsoft 365 Copilot Jira Cloud connector with OAuth, permission-aware indexing, pilot testing, and a separate Jira API-token flow.
GitHub Copilot Auto Model Selection: Measuring Cost, Quality, and Response Time
Measure GitHub Copilot Auto model selection across cost, coding quality, and response time to understand the trade-offs between different AI models.
GitHub Copilot Auto Model Selection: Choosing Between Efficiency, Balance, and Intelligence
Compare GitHub Copilot Auto model selection across efficiency, balance, and intelligence to understand how each option affects coding workflows and model choice.
GitHub Copilot Lite Reviews: Measuring the Cost and Quality of Multi-Agent Code Reviews
Learn how to evaluate GitHub Copilot Lite Reviews by comparing multi-agent code review cost, review quality, coverage, latency, and practical engineering trade-offs.
GitHub Copilot and Jira: Turning Development Issues into Agent-Assisted Pull Requests
Learn how to connect GitHub Copilot and Jira workflows to turn development issues into agent-assisted pull requests while improving task tracking and delivery.
GitHub Copilot Usage Metrics: Measuring VS Code Agent Adoption Across Development Teams
Learn how to measure GitHub Copilot usage and VS Code agent adoption across development teams using usage metrics, activity data, and engineering insights.
GitHub Copilot Code Review: How Automatic Comment Resolution Changes the Review Workflow
Explore how GitHub Copilot Code Review automatic comment resolution changes pull request workflows, reduces manual review tasks, and improves developer feedback cycles.
GitHub Copilot Code Review with Shell Tools: Can AI Validate Builds and Tests Before You Merge?
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.
Preparing for the GitHub Copilot Unified Experience Coming September 28
Learn what developers and teams should prepare for the GitHub Copilot Unified Experience, including workflow changes, configuration considerations, and adoption planning.
GitHub Copilot Content Exclusions: Keeping Sensitive Code Out of AI Context
Learn how GitHub Copilot content exclusions can prevent sensitive repositories, files, and code from being included in Copilot context and AI-assisted development workflows.
GitHub Copilot Customize: Choosing Between MCP Servers, Plugins, Skills, and Canvases
Compare GitHub Copilot MCP servers, plugins, skills, and canvases to understand which customization option best fits enterprise AI coding workflows and developer productivity.
GitHub Copilot Grok 4.6: Benchmarking Agentic Coding and Multi-Step Reasoning
Benchmark GitHub Copilot with Grok 4.6 for agentic coding and multi-step reasoning, comparing coding accuracy, task completion, tool usage, and developer productivity.
GitHub Copilot Model Deprecations: Testing Claude, Gemini, and Replacement Models Before September
Learn how to prepare for GitHub Copilot model deprecations by testing Claude, Gemini, and replacement models for coding accuracy, performance, compatibility, and developer workflows.
GitHub Copilot Per-Model Token Usage: Tracking AI Coding Costs Across Teams
Learn how to track GitHub Copilot token usage by model and analyze AI coding costs across development teams for better budgeting, governance, and optimization.
GitHub Copilot Gemini 3.7 Flash: Measuring Coding Speed, Accuracy, and Token Cost
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.
GitHub Copilot Customize Tab: Managing MCP Servers, Plugins, Skills, and Canvases
Learn how GitHub Copilot's Customize tab manages MCP servers, plugins, skills, and canvases to extend AI coding workflows and customize enterprise developer experiences.
GitHub Copilot Code Review for Azure Repos: Detecting False Positives and Missed Bugs
Test GitHub Copilot code review on Azure Repos to identify false positives, missed bugs, detection accuracy, and practical limitations of AI-assisted code reviews.
