Copilot Subagents: Parallel Orchestration Demo
by u-other-tune-947
Custom subagents with explicit model assignments and parallel execution now work in VS Code Insiders—conserving 95% of context window by delegating tasks to specialized agents.
by u-other-tune-947
Custom subagents with explicit model assignments and parallel execution now work in VS Code Insiders—conserving 95% of context window by delegating tasks to specialized agents.
by microsoft
Teaching AI about your codebase through context engineering makes Copilot suggestions more accurate — this hands-on workshop demonstrates the approach using .NET 10 and Blazor.
by microsoft
Prompt files (.prompt.md) enable reusable, standardized AI workflows that load on demand—unlike custom instructions which apply globally.
by microsoft
VS Code agents handle end-to-end coding tasks across four execution modes: local (interactive), background (CLI), cloud (remote infrastructure), and third-party integrations—with unified session management and seamless handoffs.
by alexander-opalic
Workshop covering the transformation from LLM to Agent, context engineering, AGENTS.md, subagents, and skills in VS Code Copilot.
A collection of notes on AI-assisted coding in VS Code, covering GitHub Copilot, Agent Skills, context engineering, and development environments.
by visual-studio-code
Dev containers provide isolated, reproducible development environments that let you run AI coding agents safely separated from your local machine, with instant portability between local Docker and GitHub Codespaces.
by visual-studio-code
Agent Skills are portable instruction folders that load on demand, transforming AI agents from general assistants into domain-specific experts through scripts, examples, and specialized workflows.
by alberto-salazar
Subagents offer isolated, autonomous task execution within Copilot Chat—running refactors, tests, and security scans in separate Git worktrees without polluting your main workspace.
by burke-holland
A custom VS Code chat mode that fixes GPT-4.1's tendency toward speed over thoroughness using todo lists, sequential thinking prompts, and forced web research.