Getting real productivity from AI-assisted development
Module 1
Effective Copilot Usage & Prompt Patterns
- GitHub Copilot setup: IDE extensions, Copilot Business vs Individual, model selection
- How Copilot works: context window, file context, comment-driven generation
- Inline completions: accepting, rejecting, cycling suggestions — keyboard fluency
- Comment-driven development: writing intent as a comment before code
- Docstring-first approach: letting Copilot implement from documentation
- Copilot Chat: ask, explain, fix, generate tests — the Chat commands
- Slash commands: /explain, /fix, /tests, /doc — practical usage
- Context management: opening relevant files, using @workspace, @file, @symbol
- Copilot for test generation: writing test cases from implementation
- Copilot for code review: asking it to critique your own code
Module 2
Copilot Agent, Quality & Security
- GitHub Copilot Agent (coding agent): autonomous multi-step task completion
- Copilot Edits: multi-file changes from a single instruction
- Quality control: reviewing Copilot output critically — what to accept and what to reject
- Security review: common Copilot mistakes — injection vulnerabilities, insecure defaults, hallucinated APIs
- Copilot for documentation: generating README files, API docs, inline comments
- Copilot CLI: natural language shell commands
- Copilot in pull requests: PR summary generation, review comments
- Team workflows: how Copilot changes pair programming, code review, and onboarding
- ROI measurement: where Copilot genuinely saves time and where it doesn't
What your team walks away with
Development teams who use GitHub Copilot to genuinely accelerate their work — not as an autocomplete that bypasses thinking, but as a tool that handles boilerplate while developers focus on design and correctness.
- Use Copilot keyboard shortcuts and chat commands fluently in daily development
- Write prompts and comments that produce accurate, useful code suggestions
- Review Copilot output for security issues and correctness before accepting
- Set up team guidelines for Copilot usage that preserve code quality standards
Book the GitHub Copilot training
A practical hands-on day — participants use Copilot throughout on real tasks. Works well as part of a broader AI-assisted development program.
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