A practical walkthrough of the end-to-end workflow: architecture, implementation, testing, and documentation.
What this webinar shows:
We walk through one realistic project from specification to a running implementation. Starting with a written spec, we’ll use the CloverDX 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 also look at an inherited CloverDX project and use the CloverDX AI Assistant to explain what it does, how data moves through it, and where the important logic sits.
Finally, we 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 you should watch this webinar:
You’ll see the complete workflow rather than a set of isolated AI features. Our goal is to show you how the Assistant is useful in real engineering work, including existing pre-AI 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 14 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 16 years, engaging in various roles combining R&D, product development, solutions and marketing.
