Explain My BuildTechnical debt
Last updated: July 26, 2026
Technical debt is the future cost of shortcuts taken in your code: choices that speed you up now but make the app slower to change, buggier, or harder to maintain later. Like financial debt, you pay interest over time. AI-built apps accrue it invisibly, because the shortcuts are taken by the AI, not by you.
What is technical debt?
Technical debt is a metaphor coined by Ward Cunningham in 1992: when you ship code that isn't quite right, you're borrowing against future productivity, and you pay interest later in the form of slower delivery, more bugs and harder maintenance.
Some debt is a reasonable trade, you cut a corner on purpose to ship, and plan to fix it. The dangerous kind is the debt you don't know you took on, because you can't plan to repay what you can't see.
Why do AI-built apps accrue technical debt?
AI-built apps accrue technical debt because the shortcuts get taken by the AI, not by you, so you never consciously chose them. With traditional development, a developer knowingly ships a quick fix and remembers to revisit it. With AI-generated code, the shortcut is often invisible, embedded in assumptions the model made without telling you.
Research on AI-generated code points to a specific risk: code that looks correct but is unreliable or insecure, which can create false confidence and lead people to skip review. Studies have found developers using AI assistants often rate insecure code as secure. Combined with the larger volume of code AI tools produce, small unseen shortcuts can pile up quickly.
Concrete examples in AI-built apps: a missing row-level security rule, a hard-coded API key, an outdated dependency, or duplicated logic that will bite you when you try to change one part.
How does the fix-list surface technical debt?
Explain My Build's code-verified fix-list makes invisible debt visible. It reads your source code, finds the shortcuts and gaps, and ranks them so you know what to tackle first, with each item cited to the exact file so you're not chasing phantom problems.
Because every finding comes with a plain-English explanation and a copy-paste prompt, you can pay down the debt using the same AI tool you built with, without reading the code yourself.
An honest limit
The fix-list finds debt that's visible in your source code. It's a code read, not a live penetration test or a full architecture review, so treat it as a strong, honest first pass rather than a guarantee that every issue is caught.
Turn hidden debt into a to-do list
Point Explain My Build at your repo for a free, ranked fix-list of the technical debt in your AI-built app. To keep debt from creeping back as you build, run it in your CI so it flags new issues and regressions; see continuous documentation audit.
Start at document your AI-built app or run it now at the app.
Frequently asked questions
What is technical debt in plain English?
Technical debt is the future cost of shortcuts in your code. They speed you up now but make the app slower to change, buggier or harder to maintain later. The term was coined by Ward Cunningham in 1992.
Why do AI-built apps have so much technical debt?
Because the AI takes shortcuts you never consciously chose, so the debt is invisible. Research also shows AI can produce code that looks correct but is insecure or unreliable, and it produces a lot of it, so small unseen gaps pile up.
How do I find the technical debt in my AI app?
Run a code-verified fix-list. Explain My Build reads your source, ranks the issues, cites each to a real file, and gives you a copy-paste prompt to fix it. It's free.
Turn your app into a guide your users can follow.
Paste a public GitHub link and get your founder runbook + fix-list free in about a minute — no sign-up. Private code runs entirely in your browser.