Learning by steering: building software by using AI webclient as a pair programmer
Over the past few weeks, I’ve been on a rewarding journey. As a Managing Director who is no longer a full-time software developer, finding the time to code and keep up with the relentless pace of new technologies is a real challenge. While my colleagues are experimenting with the latest frameworks and tools daily, I know I’m not alone in feeling that the tech landscape evolves faster than the hours in a day allow — or faster than what client projects typically permit you to explore.
That’s why I cherish internal projects. Earlier this year I posted about Posting our blog feed to social networks using Slack. And recently I set out to build a couple of internal tools for our Google Workspace environments, but I decided to try something different than what maybe most developers would do.
Instead of relying solely on traditional documentation or enabling an autopilot AI assistant directly inside my IDE or terminal (like a Claude Code subscription), I used the standard Google Gemini web client. It comes included with our company’s Google Workspace account — proving that you don’t need expensive premium subscriptions or complex local LLMs to get value.