The goal is not to prove that AI can write code. The goal is to set up a workflow that speeds the team up without lowering quality.
Basics
- Length: 2 days (2 × 8 hours)
- Price: from 18 000 CZK / participant / day (ex-VAT)
- Format: on-site, adapted to your stack, on demand
- Max participants: 15
- Who it's for: developers, QA, DevOps, tech leads, and architects
- Prerequisites: repository-based work, development experience, and access to approved AI tools
What you'll take away
- An AI-supported development workflow covering planning, implementation, tests, review, and debugging.
- Team rules for Claude Code and Cursor, versioned in the repository.
- A first set of commands or skills for repeated tasks.
- An AI code review approach that complements human review.
- A decision on where MCP helps and where local context is safer.
Program
Day 1: tools, context, and planning
- Set up Claude Code, Cursor, and whole-workspace context.
- Context files, project rules, prompt templates, and shared team configuration.
- Spec-driven work: plan first, then small verifiable steps.
- Tests as context for implementation.
Day 2: implementation, review, and team usage
- Iterative implementation on prepared or team-specific work.
- AI code review and checks against Definition of Done.
- Debugging from logs, error messages, and tests.
- MCP as controlled access to internal systems and documentation.
- Final team playbook: what to use tomorrow, what to adopt later, and what to avoid for now.
How it fits
For broader SDLC coverage, use End-to-end AI for IT. If you want to include analysts, continue with AI for Business Analysts.
Want this training for your team?
Every training is tailored to your team. Tell us about your people, stack, and goals, and we'll come back with a concrete proposal.
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