{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreigfcladcskc2az2f46cr3zkyhyluumtuu4ty4ccqyj4eepkkbjbha",
    "uri": "at://did:plc:zxuisucsqyugb2obbzu7ccix/app.bsky.feed.post/3mirqtrqxalw2"
  },
  "path": "/experimenting-ai-subagents/",
  "publishedAt": "2026-04-05T00:00:00.000Z",
  "site": "https://blog.frankel.ch",
  "tags": [
    "ai",
    "agents",
    "subagents",
    "Technical"
  ],
  "textContent": "I like to analyze codebases I start working on, or that I left for months. I ask my coding assistant, case in point, Copilot CLI: 'analyze the following codebase and report to me improvements and possible bugs.' It’s vague enough to leave room for crappy feedback, but also for some interesting insights. I did it last week on a code base. Copilot returned a list of a dozen items. I asked it to create a GitHub issue for each, with the relevant labels, including priority.",
  "title": "Experimenting with AI subagents"
}