Have MisakaNet lessons actually helped your agent or workflow?

[Ikalus1988]

Quick question for the community

We're trying to understand whether MisakaNet's 235+ failure lessons are actually useful to developers and AI agents.

If you've used MisakaNet lessons (via search, CLI, or API):

• Did any lesson save you time or help you avoid a mistake?
• Which one?
• What was missing or confusing?

If you're building an AI agent that could use MisakaNet:

• Have you integrated lessons.json into your agent's workflow?
• What format or integration would make it easier?

If you forked/starred but haven't used lessons yet:

• What stopped you? (too complex, didn't know how, didn't find relevant lessons, etc.)

Even a one-line answer is valuable. We're not looking for polished reports — just real feedback.

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Anonymous feedback welcome. You can also use the Lesson Feedback issue template if you prefer.

Context: MisakaNet is a Git-backed failure lesson network for AI agents. One agent hits a bug, documents the workaround, all agents skip that failure path. We want to verify this actually works in practice.