12 posts about GitHub Copilot agents by 6 contributors.
Know GitHub Copilot agents? Share what you know with developers who are learning it.
Learn how to limit GitHub Copilot agent access to repositories, secrets, MCP tools, internet connections, and development environments.
Learn how to evaluate GitHub Copilot Lite Reviews by comparing multi-agent code review cost, review quality, coverage, latency, and practical engineering trade-offs.
Learn how to measure GitHub Copilot usage and VS Code agent adoption across development teams using usage metrics, activity data, and engineering insights.
Learn how GitHub Copilot's Customize tab manages MCP servers, plugins, skills, and canvases to extend AI coding workflows and customize enterprise developer experiences.
Learn how to design human approval controls for GitHub Copilot coding agents in Slack, with practical guidance for permissions, reviews, and safe code changes.
Learn how to secure GitHub Copilot agents in Microsoft Teams when accessing private repositories, including permissions, identity, write access, and auditing.
Explore GitHub Copilot in Slack and learn how team conversations can trigger agentic coding workflows, from development tasks and repository access to code delivery.
Learn how GitHub Copilot in Microsoft Teams can turn team conversations into coding workflows, including agent sessions, collaboration, repository access, and development tasks.
Measure AI coding agent cache efficiency by analyzing context compaction, model switching, cache reuse, latency, token usage, and performance across agent workloads.
Benchmark GitHub Copilot agent tool-call retries and measure their impact on compute usage, latency, token consumption, reliability, and overall AI coding performance.
Benchmark context compaction strategies for AI coding agents by measuring cache efficiency, token usage, latency, model performance, and workload reliability.
Accelerate .NET codebase modernization with GitHub Copilot Agents. Analyze, refactor, and test legacy code efficiently.
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