At one point, during a short break, Lisa received a message on her phone. It was from her best friend, checking in to see how things were going. She quickly glanced at it, smiling at the thought of sharing this experience with her friend.
When we started Project Weaver at profiq, we set ourselves a goal that would have sounded unrealistic just a few years ago: Build an AI-powered “engineer” that can help us design and implement serious, production-ready backend applications. Not a toy demo. Not a one-off script. Something that can actually support real teams building real products. […]
When we started Project Weaver, we weren’t trying to build another AI coding assistant. There are already plenty of tools that can generate snippets, scaffold a project, or even produce a full working prototype. But there is always a ceiling. What’s missing is something that behaves like an actual engineer – an AI that understands […]
At profiq, we’ve always believed that the best engineering work grows from curiosity, collaboration, and honest reflection. As we began shaping Project Weaver – our internal initiative exploring how AI can meaningfully support software development – one thing became clear: this work is too important, too complex, and too full of unknowns to build behind […]