GPT is better than I can explain. However, worktree only solves directory and code isol...

GPT is better than I can explain.

However, worktree only solves directory and code isolation.

The biggest pit is that the Agent is only responsible for the relevant modules.

Only when PR is merged, there may be code conflicts caused by modifying the common module area.

This buddy's a great idea @ Scott __ D.

At the same time, it is necessary to strictly define the responsibilities and boundaries of each agent.

If you need to modify the common module, it is best to have an independent agent or skill to specifically accept and review this matter, and it is troublesome not to merge the code.

Visual summary

Article argument map

Generated from the post's content graph

Mermaid outline

flowchart LR
  format-long_post["longform note"]
  topic-agents["agents"]
  topic-ai-workbenches["ai workbenches"]
  capability-agent-workflow["agent workflow"]
  capability-ai-native-workbench["AI-native workbench"]
  format-long_post -->|covers| topic-agents
  format-long_post -->|covers| topic-ai-workbenches
  format-long_post -->|signals| capability-agent-workflow
  format-long_post -->|signals| capability-ai-native-workbench

Visual structure

Essay structure map

Built from summary and key paragraph positions

Mermaid outline

flowchart LR
  thesis["GPT is better than I can explain. However, worktree only solves directory and code isolation. The biggest p..."]
  signal["GPT is better than I can explain."]
  operator["Only when PR is merged, there may be code conflicts caused by modifying the common module area."]
  implication["If you need to modify the common module, it is best to have an independent agent or skill to specifically a..."]
  thesis -->|frames| signal
  signal -->|develops| operator
  operator -->|lands in| implication

Source: View the original post