I think that’s not the same, since the code publishing flow looks like this:
employee gets assigned some task
employee off-loads this task to Claude Code after adding specifications/etc.
employee accepts the LLM generated code, and pushes it after reviewing
the pull request review process happens as always
Instead of this:
AI agent gets assigned some task
it writes code and pushes it into production
At least that’s how I’ve seen coding agent integration in my limited experience.
The fundamental problem being talked about in the post is when accountability is shifted to the AI, but since it naturally can’t be held accountable for mistakes, you build architecture that prevents problems from popping up in the first place. And how companies are currently deploying Claude Code, et al. is the employee-centric flow; which doesn’t require any additional internal security measures to be deployed, since the accountability for all the code has not changed at all.
I think that’s not the same, since the code publishing flow looks like this:
employee gets assigned some task
employee off-loads this task to Claude Code after adding specifications/etc.
employee accepts the LLM generated code, and pushes it after reviewing
the pull request review process happens as always
Instead of this:
AI agent gets assigned some task
it writes code and pushes it into production
At least that’s how I’ve seen coding agent integration in my limited experience.
The fundamental problem being talked about in the post is when accountability is shifted to the AI, but since it naturally can’t be held accountable for mistakes, you build architecture that prevents problems from popping up in the first place. And how companies are currently deploying Claude Code, et al. is the employee-centric flow; which doesn’t require any additional internal security measures to be deployed, since the accountability for all the code has not changed at all.