Many founders treat launch day as the finish line. The invoice is paid, the app is live, and attention turns to marketing. Then, six weeks later, a new phone update breaks the login screen, a payment provider changes its API, and a security notice lands about a library you have never heard of. Software is not a building that stands once completed. It is closer to a vehicle that needs regular servicing.
This guide lays out what maintenance really involves, how to budget for it, and how to set up a plan that keeps your product healthy without draining your runway. Numbers below are illustrative unless we attribute them.
An app depends on many things you do not control: the operating system, the browser, the cloud platform, the open source libraries in your code, and every third party service you integrate. Each of these changes on its own schedule. Meanwhile your own users generate data and usage patterns you did not predict.
The main forces behind maintenance work are:
Ignoring these does not save money. It converts small, cheap fixes into large, urgent ones.
Fixing bugs found in production. This is the work most people think of, and it is reactive by nature.
Updating dependencies, refactoring fragile code, adding tests and monitoring so problems are caught before users see them.
Changing the app to work with a changed environment, such as a new OS release, a revised API or a new regulation.
Small improvements based on feedback: tweaked flows, better copy, faster screens. These keep the product competitive between larger releases.
A healthy plan allocates time to all four. Teams that only do corrective work stay permanently in firefighting mode.
Picture an illustrative scenario: a startup launches a booking app and the agency hands over the code. No maintenance agreement is signed, since money is tight. Eight months later a major mobile OS release changes how notifications permissions work, and reminders stop arriving. Bookings no-shows climb. The team also discovers that a two year old library has a known security flaw, and a payment SDK is about to be retired.
Because nobody has touched the code, the upgrades have piled up. Fixing everything at once takes far longer than doing it in small steps would have, and the team must also rediscover how the system works. Had there been a modest monthly maintenance block, each change would have been handled as it arrived. This is the same dynamic we describe in our guide to cleaning up technical debt in fast-built MVPs: deferred work does not disappear, it compounds.
Estimates vary widely. As an illustrative planning assumption, some teams reserve roughly 15 to 20 percent of the original build cost each year for upkeep. This is not a verified industry statistic, so treat it as a rough starting point, since the real figure depends on how complex your app is and how quickly it evolves.
For example, a product that cost $50,000 to build might reasonably need somewhere between $7,500 and $10,000 a year for upkeep, more if it has many integrations or fast growing traffic. Your own data is better than any rule. After three months, look at how many hours went to bugs, updates and support, and project from there.
Each of these arrangements carries a different balance of risk and flexibility, so ask any vendor how response times and change requests are handled.
Maintenance is far cheaper when knowledge is written down. Keep a short README for each repository, an architecture diagram, an environment setup guide, a list of third party accounts, and a runbook for common incidents. Make sure your company, not an individual developer or agency, owns the repositories, cloud accounts, domains and app store listings. This protects you if a team member leaves or you change vendors.
Integrations are a common source of surprise breakage. Payment gateways, maps, messaging services, analytics tools and AI model providers all publish deprecation schedules, and the notices often go to an email address nobody reads. Assign one shared inbox for vendor notices and one person to triage them monthly. When a deprecation appears, create a ticket immediately with the vendor's deadline, so it enters your normal release planning instead of becoming a weekend emergency.
It also helps to wrap each external service behind a thin internal interface. If a provider changes an endpoint or you decide to switch vendors, the change happens in one place instead of being scattered across the codebase. This small design choice, made during the build, can turn a multi week migration into a few days of work.
You cannot improve what you do not track. A few simple measures give a clear picture of product health:
Review these in a short monthly meeting. Fifteen minutes with real numbers on the screen will do more than a long status report. Over time you will see which parts of the system consume the most attention, and that tells you where a modest refactor will pay for itself.
Maintenance is not the cost of having built software. It is the cost of keeping it worth having.
Watch for a rising number of crashes, releases that keep breaking unrelated features, developers afraid to touch certain files, or a build that nobody can reproduce. These are signals that upkeep has been skipped for too long. If you are seeing them, a short audit can prioritise what to fix first. Our web development team and mobile engineers run these health checks and can set up an ongoing support plan around what they find.
Launch is the beginning of a product's life, and every product ages. Inventory what you run, add monitoring, automate backups, patch on a schedule, release in small steps, and budget a realistic share of your build cost each year. Do this and maintenance becomes a quiet background habit rather than a string of emergencies. Your users will not notice the work, and that is exactly how it should feel.