1 · A · Foundations
Course map: plans, AI Credits, setting up Visual Studio 2026 and VS Code, the ENGAGE repository
~1 h

A course for senior developers at Big 4 and other professional-services firms who already use GitHub Copilot — or are about to be told to — and want to use it as an engineer rather than as a faster autocomplete. Copilot in 2026 is an agent platform: agent mode and a Plan agent in Visual Studio 2026 and VS Code, specialised agents for debugging, profiling, testing and .NET modernisation, custom agents and skills your team keeps in the repository, MCP servers, cloud agents that return pull requests, and Copilot CLI in the terminal. The course teaches the skills that separate a senior from a passenger: engineering the context, splitting a task into a plan the agent can execute, reviewing an AI diff as critically as a colleague's, encoding team rules once so they work in every IDE, and knowing exactly what leaves the client's perimeter — and what it costs in AI Credits. Every capability is taught the same way: the pain that makes you reach for it, the capability itself, and its cost — including the uncomfortable ones, such as content exclusion not applying in agent mode, or a green test suite that an agent wrote to match its own bug. The mandatory track follows the official GH-300 (GitHub Copilot) exam outline, so the course doubles as certification preparation; optional units go deeper into Copilot CLI automation, hooks, model and cost engineering, and measuring real productivity. Labs use one sample repository — Aldervane Advisory LLP's ENGAGE platform — that opens in Visual Studio 2026, VS Code and the CLI alike; it is a public GitHub template (github.com/AndreyKuralekh/engage), so each learner starts from their own copy. Every lab also has a read-and-answer path for learners without a Copilot Business or Enterprise seat.
the order is free · the steps below are the order the author suggests, not a conditionView: map · steps
1 · A · Foundations
Course map: plans, AI Credits, setting up Visual Studio 2026 and VS Code, the ENGAGE repository
~1 h
2 · A · Foundations
How Copilot works: prompt building, context, proxy filtering, post-processing, suggestion lifecycle
~1.5 h
by the author’s design, after “Course map: plans, AI Credits, setting up Visual Studio 2026 and VS Code, the ENGAGE repository”
3 · A · Foundations
~1.5 h
by the author’s design, after “Course map: plans, AI Credits, setting up Visual Studio 2026 and VS Code, the ENGAGE repository”
4 · A · Foundations
~1.5 h
by the author’s design, after “How Copilot works: prompt building, context, proxy filtering, post-processing, suggestion lifecycle”
5 · B · Visual Studio 2026
~1 h
by the author’s design, after “Context engineering and prompting: #-references, participants, zero/few-shot, chat history, fresh sessions”
6 · B · Visual Studio 2026
Agent mode in Visual Studio: tools, approvals, the build/test loop, Plan agent → Implement plan
~1.5 h
by the author’s design, after “Visual Studio 2026 basics: inline suggestions, Next Edit Suggestions, Chat, Copilot Actions, commit messages”
7 · B · Visual Studio 2026
Built-in agents in Visual Studio: @debugger, @profiler, @test, @git review
~1.5 h
by the author’s design, after “Agent mode in Visual Studio: tools, approvals, the build/test loop, Plan agent → Implement plan”
8 · B · Visual Studio 2026
Lab: modernising Engage.Legacy.Import with @modernize (.NET Framework 4.8 → .NET 10)
~2 h
by the author’s design, after “Built-in agents in Visual Studio: @debugger, @profiler, @test, @git review”
9 · C · VS Code & team customisation
VS Code: Chat, Plan, agent sessions, the Agents window, model choice and its price
~1.5 h
by the author’s design, after “Context engineering and prompting: #-references, participants, zero/few-shot, chat history, fresh sessions”
10 · C · VS Code & team customisation
~1.5 h
by the author’s design, after “VS Code: Chat, Plan, agent sessions, the Agents window, model choice and its price”
11 · C · VS Code & team customisation
Custom agents and agent skills: team roles and procedures in the repository
~2 h
by the author’s design, after “Team rules: copilot-instructions.md, *.instructions.md with applyTo, prompt files, organisation instructions — and what VS and the CLI see”
12 · C · VS Code & team customisation
~1.5 h
by the author’s design, after “Custom agents and agent skills: team roles and procedures in the repository”
13 · D · Quality & teamwork
~1.5 h
by the author’s design, after any one of these: “Agent mode in Visual Studio: tools, approvals, the build/test loop, Plan agent → Implement plan”, “VS Code: Chat, Plan, agent sessions, the Agents window, model choice and its price”
14 · D · Quality & teamwork
~1.5 h
by the author’s design, after “Testing with Copilot: unit and integration tests, edge cases, assertions — and why an agent's green tests prove little”
15 · D · Quality & teamwork
The cloud agent: from issue to pull request, reviewing an agent's PR, and when delegation pays off
~1.5 h
by the author’s design, after “Security and performance review: Review Selection, Copilot code review on pull requests, and judging AI findings”
16 · D · Quality & teamwork
Spaces, PR summaries and review standards in instruction files (and Spark, briefly)
~1 h
by the author’s design, after “The cloud agent: from issue to pull request, reviewing an agent's PR, and when delegation pays off”
17 · E · Governance & exam
~2 h
by the author’s design, after “Responsible use: risks, hallucinated APIs, insecure patterns, output ownership, verification discipline”
18 · E · Governance & exam
Aldervane case: the February confidentiality incident — root causes across the whole course
~1.5 h
by the author’s design, after “Governance: organisation policies, content exclusion and its gaps, public code filter, audit log, REST API for seats, AI Credit budgets”
19 · E · Governance & exam
~1 h
by the author’s design, after “Context engineering and prompting: #-references, participants, zero/few-shot, chat history, fresh sessions”
20 · E · Governance & exam
Exam rehearsal: GH-300 formats, traps by domain, time management
~1.5 h
by the author’s design, after “Aldervane case: the February confidentiality incident — root causes across the whole course”, “Copilot CLI essentials: install, interactive sessions, plan and autopilot, permissions, key commands, scripts and files”
21 · Optional · Beyond the exam
Copilot CLI at work: sessions, delegation to the cloud agent, plugins and custom agents
~1 h
by the author’s design, after “Copilot CLI essentials: install, interactive sessions, plan and autopilot, permissions, key commands, scripts and files”
22 · Optional · Beyond the exam
Copilot CLI in automation: non-interactive runs, preToolUse hooks, scripts and CI
~1 h
by the author’s design, after “Copilot CLI at work: sessions, delegation to the cloud agent, plugins and custom agents”
23 · Optional · Beyond the exam
Hooks and guardrails in VS Code: agent hooks, scoped hooks in custom agents, failure semantics
~1 h
by the author’s design, after “Custom agents and agent skills: team roles and procedures in the repository”
24 · Optional · Beyond the exam
Models, BYOK and cost engineering under AI Credits
~1 h
by the author’s design, after “VS Code: Chat, Plan, agent sessions, the Agents window, model choice and its price”
25 · Optional · Beyond the exam
Measuring impact and rolling Copilot out to a team: metrics, adoption, avoiding vendor numbers
~1 h
by the author’s design, after “Governance: organisation policies, content exclusion and its gaps, public code filter, audit log, REST API for seats, AI Credit budgets”
final · in the browser, without the assistant
Exam
closed · enrol on the course
| 1 | Course map: plans, AI Credits, setting up Visual Studio 2026 and VS Code, the ENGAGE repository Tell which Copilot plan and which contract applies to a developer, and why client code needs an organisation seat | ~1 h |
| 2 | How Copilot works: prompt building, context, proxy filtering, post-processing, suggestion lifecycle Trace a Copilot request through context gathering, prompt building, proxy, filters, model and post-processing | ~1.5 h |
| 3 | Responsible use: risks, hallucinated APIs, insecure patterns, output ownership, verification discipline Name the six responsible-AI principles used in GH-300 and apply them to everyday Copilot work | ~1.5 h |
| 4 | Context engineering and prompting: #-references, participants, zero/few-shot, chat history, fresh sessions Name the five layers of context in a chat prompt and say who controls each | ~1.5 h |
| 5 | Visual Studio 2026 basics: inline suggestions, Next Edit Suggestions, Chat, Copilot Actions, commit messages Control completions and Next Edit Suggestions deliberately: partial acceptance, manual invocation, and the review point between the two NES Tabs | ~1 h |
| 6 | Agent mode in Visual Studio: tools, approvals, the build/test loop, Plan agent → Implement plan Choose between Ask, the Plan agent and agent mode for a task, and explain how Copilot Edits and Agent (Preview) relate to them | ~1.5 h |
| 7 | Built-in agents in Visual Studio: @debugger, @profiler, @test, @git review Pick the right built-in agent for a debugging, performance, testing or pre-commit review task | ~1.5 h |
| 8 | Lab: modernising Engage.Legacy.Import with @modernize (.NET Framework 4.8 → .NET 10) Install and start the GitHub Copilot modernization agent in Visual Studio and scope it to one project | ~2 h |