08 / Choose deliberately
More room to explore. A clear way to check.
People use "unfiltered" or "uncensored" AI coding to describe different expectations: direct technical answers, configurable models, or fewer interruptions during legitimate development. Those words alone do not tell you how a particular model, provider, or application will behave.
Evaluate the setup you will actually use
Try representative project tasks: explaining unfamiliar code, diagnosing a reproducible bug, and drafting a narrowly scoped change. Compare correctness, context handling, and clarity about uncertainty. Behavior can differ between providers serving similarly named models, and it can change with model versions or application configuration.
Keep the engineering loop intact
Model flexibility does not remove the need for source control, scoped permissions, and review. Use a small task, inspect the proposed patch, and collect relevant evidence. Check the selected provider terms and data handling before sharing repository content. No description here promises universal freedom from restrictions, unlimited throughput, or a verified privacy posture.
A starting prompt
Evaluation task: Explain the existing retry behavior. Identify its limits with source references. Propose a small improvement without editing files. State any uncertainty about the current design.