An advanced, hands-on day where you run the full software development lifecycle with AI agents - from planning to deploy - while quality assurance and control stay in every phase. Focused on the "why and how", not copy-paste prompts. A 100% AI-coding workflow with best practices.
This session has ended (14 July 2026). Our next open training: AI Sales & Marketing Workshop, 19 November 2026. This page stays available as an archive.
See the next workshop Request company training Registration for this session is no longer possible.Most people use AI just to type faster. We go further: how autonomous AI agents become part of the full development process while quality and control are preserved.
Quality, maintainable code with real enterprise expectations: testing, review, reliability, best practices.
Code generation, refactoring, test writing, debugging - in self-running steps, within controlled boundaries.
Guardrails, review points and validation: the AI stays within bounds, the engineering decision is yours.
For everyone who is actively involved in the professional software development process: PO (Product Owner), BA (Business Analyst), QA Engineer, software developers, testers (manual and automated), team leads.
Senior and mid-level developers, tech leads, architects who already write code with AI but haven't built an autonomous, reliable, quality-assured workflow around it.
Confident coding skills (any mainstream stack) expected. Your own laptop and an active AI subscription are required.
The full software development lifecycle (SDLC) with AI agents and Claude CLI - with best practices, and with quality assurance built into every phase.
Planning, requirements, architecture, task breakdown: how to give good context and acceptance criteria, and which proven patterns to follow end to end.
A 100% AI-coding workflow: task -> plan -> implementation -> verification, in repeatable, reliable steps.
How to build validation and testing into each phase - not at the end, but throughout.
The most important trio of quality assurance. Where to inject your own rules: rules, skills, hooks, validations, workflows - and how to enforce them.
How to work with AI agents on existing, legacy codebases; practical experiences and pitfalls.
Build, deploy, basic observability, and how to work cost-effectively (context management, token optimization).
The detailed schedule is fine-tuned to the group before the workshop.
The full day is led by a practicing software engineer.
Lead AI trainer · software engineer
A technology entrepreneur and software engineer who has built enterprise systems and software companies, including for Fortune 500 clients. Today he builds autonomous, agentic, quality-assured developer workflows in practice - across the full SDLC, from legacy systems to deploy.
Our next open workshop is AI Sales & Marketing, on 19 November 2026. We also build custom programmes for companies.
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