Agentic development: empowering development with GitHub Copilot
Learn how to use AI tools to generate secure, high-quality code effectively in our workshop.
Using Copilot for AI-assisted development
Faster task completion
GitHub Productivity Benchmark
Code generated by Copilot
Octoverse 2025
Without the right techniques and context engineering, agentic development can lead to spaghetti code, data leaks and business-damaging outputs.
The solution is to enable informed AI adoption, with approved tools that are used safely, responsibly and effectively.
Software development has already changed.
The workshop ‘Agentic Development Practices with GitHub Copilot’ consists of practical and interactive demos that showcase the latest AI-assisted development methods, so you can strike the right balance between automation and human-in-the-loop.
Why GitHub Copilot?
The world's most popular AI coding tool with over 4.7 million paying users, from start-ups to Fortune 100 companies.
Multi-model orchestration (OpenAI, Anthropic, Google), native integration with VS Code and support for the latest Agentic Development patterns.
Workshop topics
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Context engineering
Instruction archive, reusable prompts, skills, MCP server: how to control what the model sees so that it follows precise stacks and rules without wasting tokens.
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Choice of models
Use the most suitable model for each task and build multi-model strategies.
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Agentic workflows
Delegate and empower AI agents even on complex workflows, with the right guardrails and controls.
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MCP and additions
Extend the tools available to Copilot with Model Context Protocol.
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Spec-driven development
From how to create and review specifications through to implementation, with specifications evolving into a reusable context.
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Best practices
Stay on the cutting edge by taking advantage of rapidly-evolving tools.
Workshop programme
Sessions can be repeated for different teams or groups within the same organisation.
How to interact with the tool: setup, GitHub Copilot interface (completions, inline chat, chat modes, agent, CLI) and context management (skills, file references, symbols, issues). Introduction to model selection, basics of spec-driven development and instruction files.
The goal is to understand what Copilot offers and how to make the most of each feature.
Participants will acquire the skills to use Copilot productively right away.
Workshop details
Mode: online or in person
Format: live and interactive demo, almost no slides
Participants: 10–15 for a personalised experience
Duration: 2 hours per session
Post-workshop: follow-up included and ongoing consulting available
For those seeking a more in-depth programme, we offer ongoing consultancy and dedicated follow-up sessions, tailored to your workflows and objectives.
Who leads the workshop
Leonardo Montini
Software engineer, public speaker and recognised expert in developer tooling and AI-assisted development.
- 4× GitHub Star
- 3× Microsoft MVP in Developer Tools
- GH-300 Certified
- Speaker at national and international conferences
Who is the workshop aimed at?
- Development teams adopting or scaling GitHub Copilot in their projects
- Technical leads who need to establish AI coding standards and guardrails for their teams
- DevOps and platform engineers integrating AI tools into their workflows
- Engineering managers evaluating the impact and governance of AI-assisted development
- Companies of all sizes looking to transition from uncontrolled AI usage to structured adoption
The real bottleneck isn’t coding speed anymore, it’s how your team thinks, manages context for LLMs, and operates the tools efficiently.
Book your workshop
Contact us to discuss availability, format, and pricing.