Claude Code

/goal is easily misinterpreted as a command to “let the agent work for a bit longer.”

This, of course, is merely its surface manifestation. If you give Codex a goal, it can continuously progress around that objective, instead of stopping after a single round of answers. But what is truly noteworthy is not how long it “runs,” but rather that it converts “what constitutes completion” from a temporary reminder into an intrinsic part of the task itself.

A standard prompt describes what needs to happen next. A goal, however, is more like attaching a checklist/acceptance form to an agent: What is the objective? Where are the boundaries? Which validations must pass? What conditions must be met for it to be considered complete?

Here’s the English translation of the provided text:

“cc provides so many commands, which ones are actually useful? I’m going to watch some video tutorials on Douyin and simply record what I find helpful.

The generated normalized git logs automatically include copyright information, but since we’re now using domestic large models, there’s no need to add the copyright (GitHub displays cc as a collaborating developer).

Find the user configuration file and add the setting "includeCoAuthoredBy": false.

• The convention is to open Trae and prepare to start coding, and a notification arrives: the Claude model has been shut down and cannot be used; it’s highly likely that it won’t be recovered. The official provided a compensation plan, increasing usage by 300 (as of January).
• Checking it out, as expected, Anthropic is following US regulations to prohibit domestic companies from continuing to use the Claude series models. I joined the trae Discord community and saw many people complaining about the shutdown of the Claude model – after all, most people came here for Claude. The signs had already appeared before the Claude 4.5 model was synchronized on Trae; it hadn’t launched.

Attempt

With a last-ditch effort, I experimented with other models that are still supported, including OpenAI’s gpt-3.5-turbo, gpt-4, and Google’s Gemini Pro.