AI for developers: Claude Code, GitHub Copilot and Cursor
Coding with AI assistants without losing quality: context, code review, tests and rules for the team.
- Audience:Technical
- Duration:16 hours · 2 days
- Format:On-site or online
- Language:Italian or English
What you'll learn
- Set up Claude Code, Copilot and Cursor on a real project
- Give the model the right context with instruction files and conventions
- Hand whole tasks to a coding agent and check its work
- Review generated code: bugs, security and dependencies
- Agree shared rules for AI use in the development team
Course content
4 modules · 16 hours in total
1. Tools and setup4 hours
- In-editor assistants and terminal agents
- Permissions, secrets and what the tool can touch
- Project instruction files
2. Working with an agent4 hours
- From small tasks to full features
- Planning before writing code
- Refactoring and reading legacy code
3. Quality and security4 hours
- Tests written with and for AI
- Reviewing generated code
- Risks: made-up dependencies, secrets, licences
4. In the team4 hours
- Shared conventions and review
- Measuring the benefit honestly
- Lab on your repository
Requirements
- Development experience in at least one language
- Git
- A computer where you can install tools
Description
Coding assistants have quickly moved from autocomplete to real agents that read the project, edit several files and run the tests. Used well they speed things up; used badly they produce code nobody really understands.
We use them every day in our projects, this site included. Over two days we work on your code and agree together the rules that make AI a help for the whole team, not a risk.
Who this course is for
- Backend, frontend and full-stack developers
- Data engineers and data scientists who write code
- Tech leads who need to bring AI into the team
Request information
The course is not sold online: we run it for your team. Write to us and we will send you the programme and a proposal.
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