{
"$type": "site.standard.document",
"bskyPostRef": {
"cid": "bafyreiedhmk7jltmfxcvyxs2fx5evrrkftjavgucksd366yov5pcnqlvxu",
"uri": "at://did:plc:dxjzgxe7cvirxkwfjr2tjspt/app.bsky.feed.post/3mfg45yw222i2"
},
"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"
}