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Facebook skills: How far can a Coding Agent help with page work, and what still needs to be controlled manually?

If Claude Code or Codex reads a content creation manual, knows what type of post to write, what information to request, and when to let someone review it, can we call this “AI taking care of a page”? The answer depends on what “taking care of” means, whether it means helping with preparation or actually having the right to do it for us, because these two things are not the same. Thongchai Thampueak's post, which was used as a starting point, recommends facebook-skills as a set of skills for Claude Code…

Translated from Thai Read in Thai

A Facebook page management skills package called "facebook-skills" has been developed for use with AI models Claude Code and Codex. The package provides a set of instructions, workflows, and tools to assist with tasks such as drafting posts, repurposing content, and analyzing engagement. However, it does not automate all page management tasks and requires manual approval and input for certain actions.

The package's capabilities are divided into four layers: instructions, workflow conventions, executable helpers, and external APIs.

Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

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Do Coding Agents Really Fail at Business Logic? What the Evidence Shows

Why I started this I set out to test a suspicion, not to sell a tool: coding agents fail at bug fixing because they do not understand the business behind the code.

  • Coding agents struggle with bug fixing due to limited understanding of business logic.
  • 64% of rejected pull requests were due to reviewer abandonment, 2% due to agent issues.
  • Wrong implementation was the most common reason for rejections in bug-fix PRs.

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