Understanding a large codebase is challenging, especially for new engineers. Traditional documentation often requires deep product and implementation knowledge, making onboarding slow and frustrating. AI-powered tools now offer automated solutions that generate documentation directly from source code, aiming to bridge this gap.

When a Fortune 500 financial services company approached Bitovi to modernize its design system, the team was drowning in prototype complexity. Designers were spending 50% of their time building prototypes for every interaction, state change, and validation message. The culprit? A design tool that forced everything to be a functioning prototype.

Building AI agents can quickly become complex and confusing. At Bitovi, we're always looking for ways to streamline efforts for all of your production use cases, not just that first POC. That's why we've developed techniques to help ensure your agents don't get confused as you scale and give them more to do.

Trying to finish personal projects can be tough. Seeing a graveyard of half-finished repos on your GitHub is discouraging. Often, the problem starts with jumping into a project without planning. No clear plan, just a repo and a dream. Or maybe you start with a plan but struggle to track progress. Regardless of why you're struggling, a bit of project management can really help.

Google’s newest AI tool, Stitch, promises to speed up the product design process. But does it actually accelerate design, or does it create “design debt” that organizations must reckon with later in their product lifecycle?

Most AI integrations stop at chat. Chat with a bot. Chat with a PDF. Chat with a bot that chats with other bots. It’s everywhere—and mostly unhelpful.