Enterprise-grade software, built with AI agents. The full dev lifecycle, quality assured. Production-ready code, not just a demo.
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.
- Last developer day before summer
- Take home a ready AI-coding workflow
- Personal mentoring on real code
- Limited seats
- Developers
- Tech Leads
- Architects
- Business Analysts
- QA Engineers
- Product Owners
- Full SDLC with AI agents
- Quality assurance in every phase
- Rules, skills, hooks, validations
- Legacy systems + token optimization
More than code autocomplete
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.
Production-ready, not a demo
Quality, maintainable code with real enterprise expectations: testing, review, reliability, best practices.
AI agents run the routine
Code generation, refactoring, test writing, debugging - in self-running steps, within controlled boundaries.
You decide at the key points
Guardrails, review points and validation: the AI stays within bounds, the engineering decision is yours.
For you, if...
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.
Developers and tech 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.
Programming experience required
Confident coding skills (any mainstream stack) expected. Your own laptop and an active AI subscription are required.
What we cover
The full software development lifecycle (SDLC) with AI agents and Claude CLI - with best practices, and with quality assurance built into every phase.
Full SDLC + best practices
Planning, requirements, architecture, task breakdown: how to give good context and acceptance criteria, and which proven patterns to follow end to end.
Coding with agents
A 100% AI-coding workflow: task -> plan -> implementation -> verification, in repeatable, reliable steps.
Quality assurance in every phase
How to build validation and testing into each phase - not at the end, but throughout.
Rules: define, follow, enforce
The most important trio of quality assurance. Where to inject your own rules: rules, skills, hooks, validations, workflows - and how to enforce them.
Legacy systems
How to work with AI agents on existing, legacy codebases; practical experiences and pitfalls.
Deploy + token optimization
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.
Who runs the day
The full day is led by a practicing 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.
Quick facts
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