I frequently use Claude in pull requests by simply mentioning it to fix issues or write tests, eliminating the need to ask coworkers for help.

In GitHub, I can mention Claude to work on tasks in the background and return with results and a new pull request.

I rely on Anthropic's Claude for writing assistance, as it has become an integral part of my workflow.

Using Claude in the terminal is straightforward; I just run Claude and follow the installation steps for GitHub Actions, which are mostly automatic.

I was surprised to find that many users utilize Claude for research and brainstorming in fields like quantum mechanics and biology, rather than just writing tasks.

I write code that is more compatible with Claude, which highlights the advanced capabilities of AI compared to human cognition.

Claude operates by analyzing prompts, taking screenshots at each step, and adjusting its actions as needed, which is part of its 'agent loop' that enables it to handle complex tasks autonomously.

There's a learning curve when using Claude; users often try to assign overly complex tasks, leading to frustration when the results don't meet expectations.

The coding use case for Claude has become surprisingly popular, with estimates suggesting that 30 to 40% of its usage is related to coding tasks.