"We commissioned an internal business system from a vendor promising rapid delivery using AI. Initial release was indeed fast. Six months later, when we wanted to add a single feature, alternative vendors declined, saying the codebase was too difficult to modify. We had no choice but to accept the original vendor's asking price, wiping out initial cost savings." A wholesale systems manager shared this experience. Promising fast and cheap builds with AI that morph into exorbitant maintenance costs is an increasingly common failure mode.
A telling development emerged overseas: teams specializing exclusively in deleting AI-generated code, charging $10,000 per week based on pruned volume. These teams contract to condense 100,000-line projects down to 35,000 lines while preserving functionality. Ironically, they utilize AI during cleanup, but state clearly that they keep it on a very tight leash. The emergence of paid code-deletion services highlights how severe cleaning up AI-generated code has become. This article outlines the downstream costs clients frequently overlook in AI-assisted development.
Working software versus maintainable software: two different standards
AI is remarkably fast at turning functional requirements into working software. However, speed often comes at the expense of producing heavily duplicated code that repeatedly copies and pastes identical logic. Analytics firms monitoring codebases report that duplicated code blocks have reached historic highs, surging noticeably since 2023. Conversely, refactoring rates have plummeted, reflecting developer tendencies to rely on copy-pasting over structured cleanup.
Duplicated code functions initially, but maintenance reveals the damage. A single specification change requires modifying dozens of identical snippets, where missed edits introduce bugs. Systems delivered because they worked turn into fragile codebases no one dares touch. Just as legacy core systems evolve into technical debt as a business risk, unchecked AI code accelerates this debt accumulation.
Clients only see delivery speed
What makes this challenging is that quality disparities remain invisible to clients. At delivery, clients only observe working interfaces and rapid completion. Assessing whether internal code is duplicated or maintainable requires technical literacy. Clients must therefore embed non-speed quality criteria into contracts during procurement.
| Procurement checkpoints | Why it matters |
|---|---|
| Can external vendors maintain and modify the architecture? | Prevents vendor lock-in and preserves competitive bidding. |
| Are automated tests included? | Ensures automated regression verification when making future edits. |
| Are standards set for code duplication and complexity? | Guarantees maintainable quality beyond merely functioning. |
Automated testing represents the lifeline of AI-generated code quality. Going beyond test coverage metrics to ensure tests reliably catch regressions is discussed in our article on guaranteeing deliverable quality with mutation testing.
Using AI on a tight leash
Using AI in software development is not inherently flawed; even cleanup teams use it. The deciding factor is whether unvetted AI output is delivered directly or reviewed, refactored, and safeguarded with comprehensive automated tests. Evaluating AI-suggested refactoring decisions was covered in our article on refactoring judgment in the AI era. Harnessing AI for speed while maintaining strict governance prevents speed from becoming future debt—the essential protection in custom development for clients.
Cheap and fast quotes hide deferred expenses
Low-cost estimates advertising AI acceleration often exclude future modification costs. Selecting vendors purely on upfront savings risks facing inflated maintenance quotes or vendor lock-in later. Core principles on pricing benchmarks and contract types are summarized in our guide to outsourcing software development. Whether you are struggling to modify an AI-built system, looking to balance speed with long-term maintainability in an upcoming project, or seeking third-party code quality reviews, feel free to contact GleamHub for custom development and maintenance consulting. We help evaluate procurement decisions by accounting for costs hidden behind initial delivery speed.
