Test-n-Tell.com - product management and operations

“Vibe coding”, building software by describing intent and letting AI generate, refactor, and orchestrate code, is quickly evolving into something more powerful: agentic coding. Systems that don’t just autocomplete code, but reason across files, plan changes, run tests, deploy, monitor, and iterate. If this trajectory continues, we are not just accelerating engineering. We are reshaping the entire product value chain.

  As AI moves from experimentation to production, many organisations discover that “adding AI” is not a feature - it is a fundamentally different product problem. This realisation has led to the rise of the AI Product Manager (AI PM).

  What is the difference between platform PM and any other? Is there a difference? Do platforms even need PMs, and how many?

  Everyone who has ever tried to create a product has their embarrassing failure story. Here's one of mine.

  I used to love football! Watch it, play it, suffer from chronic underperformance of my fantasy team... It's during one of the games that I thought about how football could be a good metaphor for the business of building software products.

  If I'd try Jules first - I'd have a totally different impression of the state of coding agents today. A much worse impression. Here's why.

  I have built products in many different industries: HRtech, marketing, last-mile.. But one industry, where I really wanted to work, always eluded me - that's Education tech. The stars were never rightly aligned for me to work in EduTech until I decided to build my own EduTech app.