In contrast, Claude Code seems to interpret my prompts better and helps me ship real product features for users.
Maybe it’s a system prompt issue. Its likely my prompting causing the problem. But Claude Code seems to understand my intent better.
In contrast, Claude Code seems to interpret my prompts better and helps me ship real product features for users.
Maybe it’s a system prompt issue. Its likely my prompting causing the problem. But Claude Code seems to understand my intent better.
I think the software is now a very important part of the training process. Which is why I think frontier labs are only capable of shipping "actual" agents.
Anthropic has figured something out here that others have not.
I’m impressed by Gemini Pro 2.5’s NLP capabilities. I use that model in production on several projects. My comments are directed only at Gemini CLI. Which FWIW is better than OpenAI Codex CLI, but much worse (for me) than Claude Code.
Even with Pro, the strict token limits combined with the model's tendency to add unrequested modifications means I run out of tokens before completing my intended tasks. Others have the same issue https://github.com/google-gemini/gemini-cli/issues/4300