Teams

How teams use Cortical Code inside real delivery work.

Cortical Code is most useful when it lives inside the same terminal flow engineers already use: branch work, review loops, migrations, incident fixes, and release cleanup.

Review and patch

Ask for a review first, then move into an implementation pass once the findings are clear. This keeps the assistant useful without collapsing review and writing into one muddy step.

Migration work

Teams use Cortical Code to write migrations, update the data layer, and then inspect the resulting diff before shipping. The terminal context keeps the work grounded in the actual repo.

Incident response

During a bug or prod issue, the fastest loop is often explain, trace, patch, verify. Cortical Code fits that loop well because it can inspect files and propose targeted edits quickly.

Release cleanup

Before merge or deploy, teams use it to tighten naming, remove dead code, update docs, and export the session for a review trail.

Good team defaults

Keep normal mode onApproval gating is useful when multiple people touch the same branch or module.
Use `/export` for handoffSave the session as markdown when you want a compact record of what changed and why.
Hot-swap modelsUse stronger models for architecture or reviews and cheaper ones for routine patch work.

Typical workflow

review the auth flow for security risks /plan implement the approved plan /export
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