5 min read2 months ago
How the “Grill Me” method became a key part of Project Weaver’s approach to AI-assisted software development. In previous articles, we’ve shared some of the thinking behind Project Weaver—the internal engineering framework we’ve developed at profiq to help our teams and AI work together more effectively. Rather than treating AI as a magic code generator, […]
6 min read2 months ago
One of the most interesting things about the current wave of AI-powered software development is that it has dramatically lowered the barrier to creating a working prototype. That’s a good thing. Founders can validate ideas faster, test assumptions earlier, and communicate product concepts in ways that would have required significant engineering investment just a few […]
8 min read6 months ago
In the last couple of posts, we talked about planning and documentation as foundations of reliable AI-assisted development.
8 min read6 months ago
A priority is 'Documentation', as a practical way to make coding agents more accurate, more consistent, and far less likely to drift into outdated assumptions. This post explains why documentation matters so much for AI coding workflows, what tends to go wrong with “just search the web” approaches, and why Weaver treats documentation as a first-class citizen inside the repository.
10 min read7 months ago
Why a key AI development capability is workflow planning: the ability for an agent to take a problem, ask the right questions, propose implementation steps, and only then move into execution.
6 min read7 months ago
We’ve been building in public — documenting our thinking, sharing what we’ve learned, and inviting the community into a conversation about the future of AI-augmented software development.
8 min read8 months ago
Project Weaver is answering the question: What does it take for an AI system to operate as a genuine engineering partner- not a code autocomplete, but a collaborator that can meaningfully participate in the creation of real backend applications?
10 min read8 months ago
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.
5 min read8 months ago
At profiq, we've always believed that the best engineering work grows from curiosity, collaboration, and honest reflection. That is why we've decided to build in public.
5 min read9 months ago
Over the past year, AI-powered development has shifted from curiosity to inevitability.
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