OneRange

GitHub Copilot: Essentials — Code Review Playbook

A focused playbook for code review with GitHub Copilot. Learners ask Copilot Chat for a specific, line-referenced review of a pull request written by a coding agent, covering correctness, security, risky edits and missing tests, then check every finding against the code and decide which AI review comments to accept. They leave with a review routine that uses Copilot as a second pair of eyes without trusting it blindly. About 45 minutes including the final.

What this course covers

The course runs across 3 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • Asking Copilot for a specific, line-referenced review — Give Copilot the diff and the pull request description, then ask for findings in a table with line number, category, what goes wrong, an example input and severity, instead of 'review this'. Learners also ask what Copilot could not check from the diff alone, such as callers, tests and the database.
  • Reviewing changes written by an AI agent — Compare an agent's change with what its description promises: unrelated edits such as a changed constant, removed safeguards like rounding or query parameters, SQL built from strings, and missing tests. Learners confirm each finding with a worked example before raising it.
  • Accept, reject or push back: checking AI review comments — Learners decide whether to accept AI review comments, including ones that are confidently wrong, and back each decision with the code. Copilot code review on pull requests (if your plan includes it) is requested from the Reviewers menu and by default does not count toward required approvals, so a person still checks and approves.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Software developers. The material is pitched at beginner level, and takes roughly 45 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Tool: GitHub Copilot track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including code lab, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

  • All GitHub Copilot training courses →
  • GitHub Copilot: Essentials — Docs & Onboarding Playbook — A focused playbook for documentation and onboarding with GitHub Copilot. Learners use Copilot Chat to explain an unfamiliar module, audit an out-of-date README, write a new README and doc comments, and produce a handoff note in which every claim is traced to a line of code. They leave with docs a new teammate can trust and a habit of checking Copilot's claims against the code. About 45 minutes including the final.
  • GitHub Copilot: Essentials — Refactoring & Migration Playbook — A focused playbook for safe refactoring and migration with GitHub Copilot. Learners pin today's behaviour with characterization tests, use Copilot Chat to rename, extract a function and simplify legacy code in small behaviour-preserving steps, then migrate off a deprecated Python call without breaking anything. They leave with a step-by-step routine that keeps every refactor protected by tests. About 45 minutes including the final.
  • GitHub Copilot: Essentials — Testing Playbook — A focused playbook for testing with GitHub Copilot. Learners use Copilot Chat to write unit and edge-case tests for untested code, find the root cause of a test that fails on its own and make it deterministic, and prove their tests really guard the rules by breaking the code on purpose. They leave with a repeatable way to get tests from Copilot that catch bugs instead of locking them in. About 45 minutes including the final.
  • GitHub Copilot: Essentials — Coding with GitHub Copilot — The developer starting point for the GitHub Copilot family: coding with GitHub Copilot. Learners get access and sign in, work with inline suggestions, use chat in the editor with the right context, choose between ask, plan and agent, use Copilot Chat on github.com, and review everything Copilot produces. Ends with a fix-and-explain lab.
  • GitHub Copilot: Core — Agent Mode, Code Review & Cloud Agent Hand-offs — The working level of GitHub Copilot after Essentials. Developers run agent mode on multi-file tasks and review every edit, choose context on purpose, set up repository custom instructions and prompt files, respond to Copilot code review on pull requests, hand their first issues to Copilot cloud agent, use Copilot on github.com and keep company code safe. Ends with one change taken through the whole workflow.
  • GitHub Copilot: Placement Check — Start here. The placement check places developers at Essentials, Core, Advanced or Mastery so you can assign training from the right level.
  • GitHub Copilot Pathway — Coding with GitHub Copilot, from first suggestions to running it across an engineering org: inline suggestions, chat and agent basics (Essentials); agent mode, custom instructions, Copilot code review and first cloud agent hand-offs (Core); custom agents, MCP, Copilot CLI and cloud agent environments (Advanced); and policies, metrics, rollout and incident response at org scale (Mastery). Also includes 4 optional playbooks (Testing, Code Review, Refactoring & Migration, Docs & Onboarding) to take any time after Essentials; they don't count toward the certificate.

Related

Frequently asked questions

How long does this course take?

It runs roughly 45 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code TUL-GHC-122.