We want a coder that helps you investigate the problem in front of you. Direct questions. Independent model choices. Work you can inspect.
ASK THE
HARD QUESTION.
READ THE
ACTUAL ANSWER.
A coding question is often specific, inconvenient and difficult to summarize. The work starts by understanding the repository and the objective, not forcing every request into the same generic answer.
Compare configurations. Change providers when appropriate. Examine how the model handles your tools and actual tasks. Independence is more useful as a working setup than as a slogan.
Uncensored is not another word for infallible. Generated code still needs inspection. Remote commands still need a verified target. Sensitive data still needs an intentional boundary.
This product is being positioned around repository work, technical diagnosis and command-driven workflows. The final application will have its own implementation and interface; the current screenshots are reference material.
The point of choosing an AI coder is not to stop asking technical questions. It is to make investigation and implementation more practical while keeping the decisions understandable. A useful answer should connect to the source code and the stated objective.
This product direction emphasizes model choice and evidence-led engineering rather than a promise of universal model behavior. The released application, final interface and measurable capabilities must establish their own record. A name or a temporary screenshot cannot substitute for those facts.
