Didactopus/docs/faq.md

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FAQ

Why add graph-aware analysis?

Because Didactopus is fundamentally concerned with mastery paths and dependency structure. A pack can look fine in text form and still behave badly as a learning graph.

What kinds of issues can it find?

Examples:

  • cycles
  • isolated concepts
  • dependency bottlenecks
  • packs that are too flat
  • packs that are too deep

How does this help with the activation-energy problem?

It reduces the chance that a user imports a pack and only later discovers that the prerequisite structure is confusing or fragile.

Does this replace human review?

No. It gives the reviewer better signals earlier.