{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreiedhmk7jltmfxcvyxs2fx5evrrkftjavgucksd366yov5pcnqlvxu",
    "uri": "at://did:plc:dxjzgxe7cvirxkwfjr2tjspt/app.bsky.feed.post/3mffgfegcm6h2"
  },
  "path": "/t/vibecity/49418#post_3",
  "publishedAt": "2026-02-21T20:04:03.000Z",
  "site": "https://hub.jmonkeyengine.org",
  "textContent": "The agent was consuming tokens and contexts faster then you think, planning new features took ages. Even the result was always good i came to the conclusion that my approach does not scale very well.\nToday morning, i “prompted” myself a set of rules and procedures that the agents have to follow. Now the agents learn about patterns/apis/libs and store the condensed result inside the project, i can interactively plan features ahead and the result is a set of simpler tasks with dependecies on other tasks and requirements. Those also get stored inside the project. then of course i can yolo mode trough the tasks to implement actual code. the agents use git as they should, and i have implemented even a simple locking mechanism.\n\nI have planned out the terrain system and an editor. the whole process took 2 hours and now claude and gemini have been programming for over 4 hours. They are still not finnished. I hope i can show a screenshot later",
  "title": "VibeCity"
}