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You built an app with AI. Who maintains it?

Lovable, v0 and Bolt ship working apps. Then dependencies age, databases fill, deployments fail. What maintaining an AI-built application actually involves, and who can do it.

Apps are not websites with more buttons

The previous guides covered AI-built websites. This one is about the heavier case: an application, auth, database, payments, background jobs, built with AI tools (Lovable, v0, Bolt, Cursor) by a founder or a non-specialist. These tools are genuinely extraordinary at shipping the first working version. The question this page answers: what does month two to month twenty-four look like?

The four ongoing responsibilities

  • Dependencies age. A generated app pulls dozens of packages. Advisories arrive; versions drift; upgrades break things. Somebody must read, test and merge, monthly.
  • Data grows and must be protected. Backups with tested restores, storage monitoring, and a privacy posture matching what the app collects. A database nobody has restored from backup is a rumor of a backup.
  • Deployments and environments. Every change needs a path to production that cannot take the app down: staging, checks, rollback. Builder platforms give some of this; self-hosted gives more control and more responsibility.
  • The app's actual logic. New requirements, bug fixes, edge cases users find. AI regenerates features well; understanding an existing generated codebase under pressure is a different skill.

The three ownership models, honestly

  • Self-maintain: viable if you are technical and the app is small. The moment the app pays salaries, your engineering time has a price and your attention has a limit.
  • Original tool/platform: builder subscriptions cover hosting and some ops, not your custom logic, not your data, and lock-in grows with usage.
  • A developer relationship: monthly or per-milestone, someone who understands the codebase, watches dependencies, protects the data and ships changes. This is the care-plan model applied to apps, and it is the only model where someone else's calendar absorbs your 3 AM.

The first-month stabilization, honestly itemized

  • Dependency audit and upgrade to current safe versions.
  • Backup automation with one real restore test.
  • Environment separation: development, staging, production, with secrets out of the codebase.
  • Error monitoring and uptime alerts wired to a human.
  • Basic security pass: auth review, input validation, rate limits, admin surface lockdown.
  • Documentation: what exists, where, how to deploy, how to restore.

Band in INR: ₹45,000 – ₹2,26,000 depending on app size, then ongoing care. Compare with one data-loss incident or one week of downtime, see also the hidden-costs guide for the economics.

The honest test before you hire anyone

Ask the candidate: how would you restore this app if the database vanished tonight, and how would you know an upgrade broke payments without a customer telling you? The right maintainer answers both in minutes. Start there.

Quarterly, and only when the numbers move

Get the rate report before you negotiate.

Updated rate bands across the major stacks and regions, plus what changed and why. No other email.

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