Why a tree?
AI builds what it understood — not what you meant. That gap only shows up after the code exists, and the later you find it, the more it costs. Two things make it worse: sending big chunks at once, and flat text where nobody notices what's missing.
Every workaround hits the same ceiling
All of these help. Each covers one link of the chain — structure, handoff, progress, verification — and leaves the rest to memory and manual work.
CLAUDE.md / spec files
✓ Cheap, always there, great for conventions and rules.
△ Agents drift from it after a few turns — and flat text has no shape, so a missing requirement stays invisible until it's missing from the product.
Plan mode
✓ Makes the AI think before it codes.
△ The plan is the AI's interpretation of your intent, it executes in one go instead of letting you check midway, and it dies with the session — next week there's no trace of where you stopped.
Spec tools (Spec-Kit & co.)
✓ Real structure for requirements before the handoff.
△ After the handoff you're on your own: no live progress against the spec, and no single view of the whole thing while it's being built.
A tree makes the gap visible — before the code exists
Missing branches are something you see
Requirements have hierarchy — login, signup, and password reset all live under auth. In a flat list you rebuild that structure in your head; in a tree, an empty branch is right there. Spotting gaps becomes visual, not mental.
Node-sized prompts stay on track
The bigger the chunk you send, the more room the AI has to drift. A node is one feature — small enough to be understood exactly, and checked as soon as it's built.
Status you can see, per node
Every node is In progress, Testing, or Done. What's verified and what isn't takes a glance — not an archaeology dig through chat history.
The tree outlives the session
Plans evaporate when the session ends; the tree is the record. Come back a week later and both you and your agent know exactly where things stand.
See your next feature as a tree
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