A client privacy constraint nudged Himanshu into building his own tool for small file jobs. He talks about how he built it and how that maps to the way he builds with agents generally.

For more than a decade, Canvs has documented the choices and reasoning around its projects. We talk about the intelligent system we are building that is always learning and contextualizing what it picks up, bringing that history into decisions as they happen.

Hamsika took an existing design system, already running across tens of files and hundreds of live flows, and explored what building a dark mode for it would take.

Much of the work that turns a design into a coded prototype can now happen while the interface is still being designed. In the second of two pieces on ultra-high-fidelity prototyping at Canvs, Arjun Rajkishore explains the process we already use, and continue to refine, from setting up the foundations to using and improving the coded prototype.

In this piece, Harleen walks you through her agentic setup. She built it around two goals: working faster, and making sure nothing she knows about a project lives only in her head.

Building in code at design speed allows a prototype to carry much more of the product’s intended experience. In the first of two pieces on ultra-high-fidelity prototyping at Canvs, we explain how this changes what we now expect a good prototype to do.

Translating BFSI design screens into Indic languages and adjusting the UI layout to fit them is time-intensive work. This piece covers how Canvs team solved that internally, turning days of work into seconds.

Health insurance apps have always known more about their users than they could say. We conceptualized an agentic health experience that puts that knowledge to work.