2026-03-06 –, AI-Aided Software Development – Becoming an AI-Ready Engineer
Turn your software development skills AI-ready. This 2 hour tutorial takes you from idea to production, teaching how to use modern AI tools effectively in real-world software engineering.
AI-Aided Software Development – Becoming an AI-Ready EngineerTurn your software development skills AI-ready.
This one-day hands-on training takes you from idea to production, teaching how to use modern AI tools effectively in real-world software engineering.Why Join
Modern engineering is evolving fast — and AI is already part of the workflow.
This training helps you become an AI-Ready Engineer: a developer who knows how to guide, supervise, and collaborate with AI tools to accelerate development safely and transparently.What You’ll Learn
How to use AI-assisted coding tools like Cursor, GitHub Copilot, and Continue.dev in daily development
Safe and effective prompting, guard rail design, and collaborative working techniques that improve code quality, safety, and productivity
Building and deploying a fullstack application (frontend, backend, and CI/CD pipeline)
Integrating testing and documentation as part of an AI-driven workflow
How It Works
Participants will work hands-on throughout the day, developing a fully functional social media application called Yapster, including:
React + TypeScript frontend
Express + TypeScript backend
Automated testing with Robot Framework
CI/CD deployment to Azure
Duration
One full day – including two main sessions:
:one: From Idea to Production
:two: From Backlog to ProductionOutcome
By the end of the training, participants will:
Understand how to integrate AI tools into existing workflows
Know how to maintain guard rails for safety and quality
Be ready to apply AI-assisted development practices in real projects.
Powered by NorthCode
Human creativity. AI acceleration.
- Write acceptance tests in Robot Framework that clearly describe behavior
- Guide an AI tool (e.g., GitHub Copilot) to implement a feature starting from tests
- Commit tests and code to GitHub; let GitHub Actions run regression checks, verify new functionality, and deploy safely to production
Key Takeaways
- AI tools need structure and feedback loops — human-readable tests provide both
- Robot Framework bridges natural language and code, improving shared understanding
- ATDD becomes a collaboration model for humans and machines
- A concrete workflow combining Copilot, Robot Framework, and CI/CD for reliable, AI-augmented delivery
Who Should Attend
- Developers and testers exploring AI-assisted development
- QA engineers investing in living documentation
- DevOps/platform engineers integrating AI into CI/CD
- Anyone interested in practical human–AI collaboration in software delivery
What attendees will take away:
* A working mental model for integrating AI tools safely in development
* Concrete examples of ATDD used as guard rails for AI
* Practical do’s and don’ts from real experiments
* A repeatable workflow to try in their own teams
ATDD, AI
Is this suitable for ..?: Beginner RF User, Intermediate RF User, Advanced RF User Describe your intended audience:This talk is for everyone in a software development organization — from developers and testers to tech leads and C-level decision makers.
AI-assisted development is reshaping how software is built, tested, and deployed. When used right, it’s a superpower that boosts productivity without compromising quality.
Whether you write code, design processes, or shape strategy, you’ll learn how Acceptance Test-Driven Development (ATDD) with Robot Framework creates the structure and guard rails that make AI tools safe, reliable, and truly useful.
Ismo Aro is a partner and CTO at NorthCode. His professional focus is in modernizing the ways of how companies are working.