# AI for Developers & Engineering Teams
> Most developers already use AI to write code. Few use it well. This 2-day intensive workshop focuses on what actually matters in a professional environment: effective tool mastery across GitHub Copilot, Microsoft Copilot, and Claude Code - combined with governance, security, and the agentic frameworks that let AI handle real multi-step engineering tasks.
- Canonical HTML: https://aiworkshop.ch/workshops/ai-for-developers/
- Markdown (this file): https://aiworkshop.ch/workshops/ai-for-developers.md
- PDF brochure: https://aiworkshop.ch/workshops/ai-for-developers.pdf
- Provider: AI Workshop Switzerland · hello@aiworkshop.ch
## Program modules

### Day 1 - Module 1: AI Tool Mastery (GitHub Copilot, Claude Code, Microsoft Copilot)
- How each tool differs and when to use which
- Context injection, multi-file awareness, and working with large codebases
- Advanced prompting patterns for code generation, refactoring, and debugging
- Claude Code for longer reasoning chains and complex tasks

*Outcome:* Developers can use all three tools effectively for real engineering work - not just line completions.

### Day 1 - Module 2: Security, Compliance & Code Governance
- Common risks: hallucinated dependencies, credential exposure, GPL-tainted code
- Internal policy alignment: what AI can and cannot touch in your environment
- Code review workflows adapted for AI-assisted development
- Practical red/amber/green guardrails for the team

*Outcome:* A shared governance standard your team can adopt from day one.

### Day 2 - Module 3: Agentic AI for Developers
- What agentic frameworks are and how they work (Copilot Workspace, Claude Agents, custom agents)
- Task decomposition: breaking engineering tasks into agent-executable steps
- Hands-on: building a simple agentic workflow for a real use case
- Limitations, failure modes, and when not to use agents

*Outcome:* Participants can design and run basic agentic workflows for engineering tasks.

### Day 2 - Module 4: Team Standards & Structuring AI Use at Scale
- Defining AI usage tiers across your org (who uses what, and how)
- Prompt libraries and shared conventions for consistency
- Measuring the impact of AI tool adoption
- Onboarding new developers into an AI-enabled workflow

*Outcome:* A team-level structure for sustainable, governed AI-assisted development.


## FAQ

**Q: GitHub Copilot vs. Claude Code vs. Cursor: which do you teach?**
We cover the ecosystem as a whole. We focus on mastery of the tool your company uses while demonstrating the unique advantages of reasoning models like Claude 3.5 Sonnet for coding.

**Q: How do we handle security and IP when generating code with AI?**
We teach 'Secure-by-Design' AI coding, covering context filtering, VPC-only environments, and how to prevent secret leaks or GPL-tainted code from entering your repo.

**Q: Does this workshop cover AI agents and agentic frameworks?**
Yes. Day 2 is focused on the move from 'autocomplete' to 'agentic.' We show how to build and govern agents that handle multi-step tasks from Jira to PR.

**Q: Do participants need to be senior developers?**
No. The program is valuable for junior to senior levels. We focus on engineering patterns and the new 'architectural' way of thinking required for AI-assisted development.

**Q: Is this delivered on-site or remotely for engineering teams?**
Both. While remote works well for distributed engineering teams, we offer on-site 2-day Intensives in Switzerland for high-bandwidth collaborative learning.


## Book this workshop
- [Request a quote](https://aiworkshop.ch/form/quote/)
- [Download brochure PDF](https://aiworkshop.ch/workshops/ai-for-developers.pdf)
- [Workshop page](https://aiworkshop.ch/workshops/ai-for-developers/)