QA harness built for Claude Code | E2E testing with screen recordings, console logs, network HARs, and Playwright traces - wizenheimer/canary

As more and more of us use Large Language Models (LLMs) for daily tasks, their potential biases become increasingly important. We investigated whether today’s leading models, such as those from OpenAI, Google, and others, exhibit ideological leanings. Our results reveal that LLMs are not ideologically uniform. Different models displayed distinct “personalities”, with some favouring progressive, libertarian, or regulatory stances, for example, while others frequently refused to answer.

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM - block/goose