Backed by 25+ years of software engineering experience since March 2001

Senior Engineering Behind Your Lovable App—Without a Full-Time Hire

You built the app. I provide the engineering layer behind it. Keep building in Lovable while one senior engineer learns your system and handles deeper work within agreed monthly capacity—production hardening, difficult fixes, testing, integrations, and release validation.

Monthly support starts at $500/month for up to five hours of defined engineering capacity. Initial assessment and any required production hardening are scoped separately.

Keep your role as the builder

You don’t need to hand your app over to a development agency.

Keep using Lovable. Keep making the changes you understand and are comfortable making. I step in where experienced engineering becomes valuable: security, production issues, integrations, difficult bugs, automated testing, releases, architecture, and changes where getting it wrong could affect your business.

You can keep your new superpower. I’m the engineering safety net behind it.

“Your help was amazingly helpful to me when we worked together… I’m autonomous now.”

Not ready to hire a full-time developer? You may not need to yet.

Some growing products will eventually need an internal engineering team. Until then, a defined support relationship can provide senior judgment without requiring you to give up everyday building or take on permanent hiring overhead.

Traditional approachLovable + ADC Fix
Hire a full-time developerKeep building in Lovable
Permanent payroll commitmentPredictable monthly engineering support
Developer handles most changesYou retain control of everyday changes
Senior expertise may require a larger hireSenior expertise is available when needed
Hiring and onboarding overheadStart with the application you already have

Experience is part of the service

You’re not buying five hours of keyboard time.

You are buying access to 25+ years of accumulated judgment during those five hours. My software career began in March 2001. That experience helps identify the important risk, ask the right questions, and spend limited capacity on decisions that matter to the business.

Built around real paid Lovable work

A model already used in client engagements

This service model is grounded in paid Lovable client engagements: understand the app, separate necessary hardening from ongoing capacity, and stay available as the engineering backstop while the owner keeps building.

You get a support model shaped by real work with business owners who built in Lovable and needed an experienced engineering backstop.

Defined starting offer

$500/month

Up to five hours for agreed reviews, difficult bugs, guidance, and scoped implementation. Larger applications or capacity needs receive a separate proposal.

What your first month looks like

Establish the baseline first

Confirm the app’s condition, agree the highest-risk journeys, and scope any initial hardening separately. Monthly capacity begins with a shared priority list and written boundaries.

How the work is verified

Evidence before release

Each agreed change starts with observable behavior and finishes with focused checks, review of the affected risk, and a clear record of what passed and what remains.

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

Free fit assessment

Request Monthly Support

Share enough context to determine whether the monthly arrangement fits. This is a free fit assessment, not free technical consulting or a diagnosis of your application.

Do not send passwords, private keys, production credentials, customer data, private repository links, or sensitive logs. Access is agreed separately after an engagement is accepted.

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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.

The 30-minute technical consultation is $75 and is credited if you proceed.