
Project Weaver: Automations That Don’t Turn Into Chaos

10 min read5 months ago
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.


10 min read5 months ago
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.


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as a practical way to make coding agents more accurate, more consistent, and far less likely to drift into outdated assumptions.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.


8 min read1 year ago
The advent of large language models disrupted many fields.


12 min read2 years ago
Testing is crucial for producing reliable software.


3 min read2 years ago
In this video, profiq’s Viktor Nawrath takes you behind the scenes of using LangSmith, a tool built for developers working with LLMs who need insight into how their AI models behave in production environments.
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