This webinar is a complete working session where we'll walk-through architecture, implementation, testing, and documentation.
What to expect?
We’ll take one realistic project from specification to a running implementation. Starting with a written spec, we’ll use the AI Assistant to propose an architecture, break the work into steps, build the solution, run tests on CloverDX Server, and maintain the architecture documentation and decision log as the project evolves.
Plus, we'll also look at an inherited CloverDX project and use the Assistant to explain what it does, how data moves through it, and where the important logic sits.
Finally, we’ll cover the human review model: what the Assistant asks you to approve, what it can change, and how manual edits and user decisions take precedence.
Why should you join?
You’ll get to see the complete workflow rather than a set of isolated AI features. The goal is to show where the Assistant is useful on real engineering work, including existing projects that are not clean or well documented.
You’ll also see how teams can move between visual development, code, and AI-assisted authoring depending on the task.
Petr Drabek has spent over 13 years with CloverDX, championing customer success and helping customers maximize value from their data integration initiatives.
Pavel Najvar has worked with CloverDX for more than 12 years, engaging in various roles combining R&D, product development, solutions and marketing.
