Copilot practice library
Choose a technical deep dive, leadership briefing, or hands-on module. Each path is built around context, delegation, verification, and authority.
One decision and one observable artifact at each step.
Technical deep-dives for practitioners on specific capabilities
Map seven Copilot experiences, choose where work starts, and hand it off when context or review boundaries change.
Build instructions, prompts, skills, and agents step by step, compare when each fits, and verify the result.
Run one agent file in VS Code, the CLI, and the cloud agent, read what each runtime resolved, and place every gap in the layer that owns it.
Close every gap — intent, geography, memory, and scale. Plan Mode, Rubber Duck, Git-free /rewind, Sessions sidebar, /chronicle, live S3→S4 bridge, /fleet fan-out, and cloud delegation.
v1.121–v1.132: Portable agent infrastructure (AHP + Copilot SDK), BYOK with no GitHub sign-in, local Ollama models, Stable Custom Endpoint, parallel sessions, and GA browser tools with device emulation.
Run plan, implement, test, review, and integrate locally with an orchestrator and narrow role agents, let tests and a Stop hook decide done, and hand a person an integrated draft.
Package and distribute agent configuration as reproducible, reviewable team infrastructure.
Host the agent loop in your own TypeScript app with the Copilot SDK: decide what it sees and does, keep repo hooks as the floor, and prove every call.
Apply domain tools to live Azure state with explicit identity, evidence, and least-privilege authority.
Connect external clients to Copilot agents while preserving session and permission boundaries.
Return an interactive interface when a text response cannot support the user’s next decision.
Add governed organizational knowledge when repository context cannot explain intent.
Hands-on training modules with personas, exercises, and metrics
The Challenge: Build FanHub in 8 hours. Meet the team, understand the messy codebase, embrace the constraint.
The magic file. Stop Copilot from guessing—document your architecture and patterns so AI suggestions are consistent.
From implementation to orchestration. Let AI research dependencies and plan multi-file features before coding.
Build reusable prompts then graduate them to agent skills. Turn repeated patterns into team-wide functions and packaged domain capabilities.
Beyond static files. Connect Copilot to live databases, APIs, and external tools as first-class context sources.
End context-switching overhead. Bundle tools, skills, and instructions into role-based presets you switch instantly.
60-minute agent-directed sprint. You hold the vision, the agent implements. Four paths: Bug Blitz, Rebrand, Build New, or Delight Mode.