Keep building in Lovable. Get senior engineering backup for production.
Lovable can remain your fast product-building interface. I help you establish controlled
source, review high-risk changes, and step into the code, database, or deployment when
direct engineering is safer than another prompt.
The 30-minute technical consultation is $75 and is credited if you proceed.
Control the source
Use GitHub as the controlled source of truth
Keep the Lovable workflow, but make GitHub the durable history for review, rollback, and
deployment. Protect the production branch, review generated diffs, and keep risky work
separate until it is verified. This preserves the ability to recover when a prompt
changes more than expected.
Protect the data
Supabase RLS and authorization need direct review
A working login is not the same as correct authorization. Review Supabase row-level
security policies, ownership rules, service-role use, storage policies, and server-side
checks against real user roles. Test that one account cannot read or modify another
account’s data.
Production changes that deserve an engineering checkpoint
Migrations and schema changes
Review forward and rollback behavior, backups, constraints, destructive operations, and live-data backfills before applying them.
Environment separation and deployment
Keep local, preview, staging, and production configuration distinct. Promote reviewed commits rather than deploying an unexamined workspace state.
Secrets and edge/server functions
Keep private keys out of browser code and repositories. Validate inputs, authentication, authorization, error handling, and provider timeouts at the server boundary.
Reviewing AI-generated changes
Inspect the diff, understand affected data and permissions, run focused checks, and keep the change small enough to reverse safely.
Testing critical user journeys
Verify sign-up, sign-in, permissions, payments, important writes, failure states, and recovery using realistic accounts and environments.
Monitoring, backup, and recovery
Make failures visible, confirm backups can be restored, and document how to roll back code and data after a bad release.
When prompting is still the right tool
Low-risk interface and content changes
Small, reversible product experiments
Drafting tests or documentation that you verify
Exploring options before committing to a production design
When direct engineering is safer
Access control, payments, secrets, and sensitive data
Migrations or changes that can lose or corrupt data
Recurring bugs where prompts keep moving the failure
Launch decisions and incidents that require evidence
How ongoing Lovable support works
Begin with an audit or technical review, agree the highest-risk areas, then define monthly
capacity for reviews, guidance, hard bugs, and scoped implementation. You keep building;
I provide the engineering checkpoint before risky work reaches production.
Do not send passwords, private keys, production credentials, or personal customer data
through a public form. Repository and environment access is agreed separately and kept to
the least privilege needed for the work.