Awesome CopilotAdventures

Agentic engineering · Evidence first

Learn the craft.
Prove the result.

A complete learning library for GitHub Copilot: guided adventures, practical hands-on labs and the original source behind every exercise.

Ask → Plan → Agent → Review → Evidence

Learning navigation

New here? Follow one clear path.

Start with one local check. Choose your next lesson, then download only the materials it needs.

Choose your format

Two ways in. The same care for evidence.

Follow a story or work through a professional lab. Both paths help you investigate, build and verify; you do not need to finish both.

Mechanism

A fluent answer is not a finished change.

Scroll sideways to see the whole diagram. With the diagram focused, use the left and right arrow keys.

Investigation leads to a plan, the plan bounds the implementation, a separate review challenges the result and evidence proves it. An unresolved gap returns to investigation instead of closing the work.ONE PROGRESSIVE WORKFLOW
Ask
investigate
Plan
design
Agent
implement
Review
challenge
Evidence
prove
UNRESOLVED GAP RETURNS TO INVESTIGATION
Bound the change first

A plan with acceptance criteria is what makes a result checkable later.

Review is separate work

The step that made the change is not the step that decides whether it is right.

Evidence closes the loop

Commands, output and diffs someone else can rerun, not a claim that it works.

The adventure path

Fourteen adventures, six levels, one progression.

Each level assumes the evidence from the level before it. Follow them in order, or jump to the capability you need.

  1. 01

    Foundations

    2 Adventures

  2. 02

    Basics

    2 Adventures

  3. 03

    Intermediate

    3 Adventures

  4. 04

    Advanced

    3 Adventures

  5. 05

    Surfaces

    3 Adventures

  6. 06

    Capstone

    1 adventure

Generated visual stories

Adventures in motion

Three short montages introduce the adventure world. They are illustrations, not recordings of Copilot or evidence that a lab ran.

Hover or focus a scene to bring it to life. On touch screens, tap the image. Reduced motion keeps every scene still until you choose one.

0210 seconds · no audio

From investigation to guardrails

Scenes move from a navigation desk to a clockwork loop, an archive city, a handoff between specialists and a controlled checkpoint with a stop mechanism.

0310 seconds · no audio

Rules, skills and connections

An archive charter gives way to a selected toolkit, specialist workstations, contrasting context mirrors and a cartographer observing a distant archive.

Interactive learning / local only

The practice studio

Make a decision. Observe the consequence. Reset and try again before taking the idea into a real lab.

Educational simulations, not a live Copilot session. No AI model, account, terminal, file edit or external service is used.

Guides

The complete learning library

Every current learning document is available in English, Spanish and Brazilian Portuguese. Switch language without losing your place.

Open the complete library
The curriculum at a glanceGoals, prerequisites and the full getting-started reference.

Awesome Copilot Adventures

[!IMPORTANT] The curriculum teaches agent roles, harnesses, environments, and customization primitives as separate concepts. It does not teach deprecated custom chat modes.

Ask, Plan, and Agent are roles. Local and Copilot are VS Code agent harnesses. Cloud is a remote session target. A folder, worktree, Codespace, local machine, or remote ephemeral workspace is an environment.

[!NOTE] Product guidance was last verified against current official GitHub and Microsoft documentation on 2026-09-05. Recheck the linked source when availability or policy materially affects your task.

Search

Search in English. Source paths and executable examples retain their original text.