How to Hand an AI-Generated Codebase to a Developer

Begin with the problem, users, and primary workflow in ordinary language. State what outcome the next phase must achieve and what is explicitly out of scope. Describe current status accurately: prototype, private pilot, public beta, or production. Avoid saying almost done without naming the remaining acceptance conditions.

Add a simple system map showing browser or client, application, database, file storage, identity provider, and external APIs. For each external system, name its purpose and owner. This gives a developer an orientation before they encounter implementation details.

Inventory every account that can affect the application: source control, hosting, domains, database, storage, email, analytics, monitoring, identity, payments, and API providers. Wherever possible, use organization accounts with individual member access rather than sharing passwords. Keep the founder or company as the billing and ownership authority.

Do not paste production secrets into chat, tickets, or documentation. Use the provider's invitation flow or a password manager, grant the least privilege required, and rotate credentials that were broadly shared during prototyping. Record who can access production and remove stale collaborators after the transition.

Test the setup from a clean checkout rather than the original machine. Document runtime and package manager versions, installation, environment variable names, database setup, seed data, and the command that starts the application. Explain which values may use safe development credentials and which services can be mocked.

A developer should not need production data to render a meaningful workflow. Provide sanitized fixtures or a seed process with representative roles and states. If setup still depends on a manual action, document it explicitly and create a follow-up task to automate it when worthwhile.

Walk through the critical workflows and identify the source of truth for each. Explain statuses, permissions, calculations, and external side effects such as sending messages or charging a customer. Highlight any behavior that exists only because the generation tool chose it and has not been product-validated.

Share defects and uncertainty without filtering for embarrassment. Include intermittent failures, manual production fixes, data that cannot be recreated, and areas where security was not reviewed. Rank each by consequence and frequency if known. An honest unknown lets a developer investigate; an unstated assumption becomes a surprise.

Document how a commit reaches each environment, who approves production, and how database migrations fit into deployment. Note where logs and errors appear, what alerts exist, how backups are created, and whether restoration has been tested. Include current usage and known service limits if they affect near-term decisions.

Perform one release together. The outgoing owner explains the current process, and the incoming developer executes it while updating the documentation. Then simulate one likely failure, such as a bad environment variable or failed webhook, so the handoff covers diagnosis rather than only the happy path.

Agree on a short onboarding deliverable: the developer runs the system, traces a critical workflow, reviews the largest risks, and proposes a prioritized first plan. Resolve disagreements about scope and architecture with written evidence. Do not begin a broad rewrite solely because the code looks unfamiliar.

Close the handoff when access is verified, the setup works, critical workflows are understood, and ownership of open risks is explicit. Decide who answers product questions, who can approve production changes, and how urgent support is requested. If the relationship becomes ongoing, define capacity and response expectations separately from project completion. Anodize software development retainers start at $5k/month, which is relevant when a product needs sustained engineering ownership rather than a one-time transfer.