Project Weaver: Automations That Don’t Turn Into Chaos
Anke Corbin
10 min read
There are two ways we’ve explored automating Weaver so far. The first is the obvious one: use GitHub Actions and the second Temporal for Time Travel.
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Practical insights from profiq engineers on building better software—from applied AI and development to QA, DevOps, and life inside our team.
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Feedback Loops: What Makes AI Coding Agents Actually Useful
Anke Corbin
8 min read
In the last couple of posts, we talked about planning and documentation as foundations of reliable AI-assisted development.
“Documentation – the Next Priority in AI-Assisted Development”
Anke Corbin
8 min read
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as a practical way to make coding agents more accurate, more consistent, and far less likely to drift into outdated assumptions.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.
From “Just Let It Code” to “Build a Plan”: The Weaver Workflow
Anke Corbin
10 min read
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.
Project Weaver: The Journey So Far and What’s Next
Anke Corbin
6 min read
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.
Spec-Driven Development: How AI Is Changing the Way We Think About Software Design
Anke Corbin
8 min read
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?
Project Weaver: Building an AI Engineer in Three Phases
Anke Corbin
10 min read
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.
Why We Chose NestJS for Project Weaver: Building an Opinionated AI Engineer for Serious Backends
Anke Corbin
6 min read
When we started Project Weaver, we weren’t trying to build another AI coding assistant.
Building in Public: Why We're Sharing the Evolution of Project Weaver
Anke Corbin
5 min read
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.
Where Expertise Meets Innovation: The Leader Behind Project Weaver
Anke Corbin
5 min read
When we decided to build our own AI-powered development stack, one question came up immediately: Who should lead it?We needed someone who not only understood the technology, but also felt its impact, someone who had experienced, firsthand, how AI is reshaping what it means to build software.For us, that person was Viktor Nawrath. Seeing the Future, One Prompt at a Time
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