[{"data":1,"prerenderedAt":4},["ShallowReactive",2],{"post-content-every-ai-line-of-code-is-a-loan":3},"\u003Cp>I spent three hours last week debugging a function I didn't write. It was elegant. Efficient. And completely wrong in a way I'd never have come up with on my own. The AI that generated it saved me maybe ten minutes of typing. Cost me three hours of my life.\u003C\u002Fp>\n\n\u003Cp>Sound familiar?\u003C\u002Fp>\n\n\u003Cp>Here's the thing nobody tells you about AI coding assistants: \u003Cstrong>every line they generate is a small loan.\u003C\u002Fstrong> The interest rate depends on how well you understand what they just produced. And if you're not careful, that debt compounds fast.\u003C\u002Fp>\n\n\u003Ch2>The Loan Analogy\u003C\u002Fh2>\n\n\u003Cp>When you copy-paste from Stack Overflow, you know the code came from somewhere. You're suspicious of it. You read it. You adapt it. You understand it before dropping it in.\u003C\u002Fp>\n\n\u003Cp>But AI-generated code feels different. It appears in your editor like magic — formatted perfectly, named reasonably, fitting your existing patterns. It feels \u003Cem>yours\u003C\u002Fem>. That's the trap.\u003C\u002Fp>\n\n\u003Cp>Every line an AI generates is debt you haven't acknowledged yet:\u003C\u002Fp>\n\n\u003Cul>\n  \u003Cli>\u003Cstrong>Context debt:\u003C\u002Fstrong> The AI doesn't know your full codebase, your business logic, or that weird edge case from last sprint\u003C\u002Fli>\n  \u003Cli>\u003Cstrong>Understanding debt:\u003C\u002Fstrong> If you can't explain the generated code in a code review, you shouldn't have committed it\u003C\u002Fli>\n  \u003Cli>\u003Cstrong>Maintenance debt:\u003C\u002Fstrong> When something breaks in six months, will you trace it back to AI-generated code you barely read?\u003C\u002Fli>\n  \u003Cli>\u003Cstrong>Security debt:\u003C\u002Fstrong> AI models generate patterns, not secure code. Vulnerabilities in generated code are the new OWASP blind spot\u003C\u002Fli>\n\u003C\u002Ful>\n\n\u003Ch2>How Fast the Interest Compounds\u003C\u002Fh2>\n\n\u003Cp>I tracked my own usage for two weeks. I was accepting about 70% of what my AI assistant suggested. That's terrifying. Because 70% acceptance means I was treating AI output as roughly correct, which is not the same thing as actually correct.\u003C\u002Fp>\n\n\u003Cp>Here's what I found in my own projects:\u003C\u002Fp>\n\n\u003Cul>\n  \u003Cli>About 15% of accepted AI code had subtle logic errors that passed tests\u003C\u002Fli>\n  \u003Cli>Another 10% had security smell — hardcoded values, missing validation, overly permissive queries\u003C\u002Fli>\n  \u003Cli>The rest was fine. But I had to verify every single line to know which was which\u003C\u002Fli>\n\u003C\u002Ful>\n\n\u003Cp>That verification time \u003Cem>is your interest payment\u003C\u002Fem>. Skip it, and the principal grows.\u003C\u002Fp>\n\n\u003Ch2>Practical Strategies to Stay Solvent\u003C\u002Fh2>\n\n\u003Cp>I'm not saying stop using AI. That's dumb. I use it every day. But I've developed a system that keeps the debt manageable. Here's what works.\u003C\u002Fp>\n\n\u003Ch3>Never Accept the First Suggestion\u003C\u002Fh3>\n\n\u003Cp>This one rule changed everything. The first completion an AI offers is usually the most confident — and the most average. Reject it. Ask for alternatives. The second or third suggestion often reveals tradeoffs you hadn't considered, and forces you to think about what you actually want.\u003C\u002Fp>\n\n\u003Ch3>Treat AI Output Like a Junior Dev's First Draft\u003C\u002Fh3>\n\n\u003Cp>You wouldn't merge a junior developer's PR without reviewing it. Why does AI get a pass? Read every generated line. Ask yourself: \u003Cem>does this actually make sense here?\u003C\u002Fem> If you can't explain it in plain English, the loan is too expensive.\u003C\u002Fp>\n\n\u003Ch3>Keep a Snippet Library of Your Own Patterns\u003C\u002Fh3>\n\n\u003Cp>This is the big one. AI models are trained on everyone else's code. They don't know \u003Cem>your\u003C\u002Fem> patterns — the conventions your team agreed on, the architecture decisions you made six months ago, the weird little utilities you built that solve exactly your problem.\u003C\u002Fp>\n\n\u003Cp>This is where \u003Ca href=\"https:\u002F\u002Fdevspera.com\u002Fsnippetark\u002F\">Snippet Ark\u003C\u002Fa> becomes invaluable. I keep a curated library of my own battle-tested patterns, team conventions, and approved solutions. When I let AI code, I feed it these snippets as context first. The output is dramatically better — because now the AI is riffing on \u003Cem>my\u003C\u002Fem> code, not the internet's.\u003C\u002Fp>\n\n\u003Ch3>Tag AI-Generated Code Explicitly\u003C\u002Fh3>\n\n\u003Cp>I add a comment to any block that was significantly AI-generated:\u003C\u002Fp>\n\n\u003Cpre>\u003Ccode class=\"language-javascript\">\u002F\u002F ~ai: generated with {tool} on {date} — review carefully\n\u003C\u002Fcode>\u003C\u002Fpre>\n\n\u003Cp>This sounds tedious. It takes five seconds. And it saves your future self from wondering \"who wrote this weird thing?\" when you're debugging at 2 AM.\u003C\u002Fp>\n\n\u003Ch3>Write Tests First — Then Generate\u003C\u002Fh3>\n\n\u003Cp>If you've already written the test, accepting AI-generated implementation is significantly safer. The test captures your intent. The AI fills in the mechanics. You're still in control of the what; the AI just handles the how.\u003C\u002Fp>\n\n\u003Ch2>Why Local-First Tools Help\u003C\u002Fh2>\n\n\u003Cp>There's another layer to this. When your AI assistant sends your code context to a cloud server, you're not just generating code — you're generating data exhaust. Every snippet, every pattern, every internal function name becomes training material.\u003C\u002Fp>\n\n\u003Cp>This is where Devspera's philosophy of local-first development matters. Tools like \u003Ca href=\"https:\u002F\u002Fdevspera.com\u002Fsnippetark\u002F\">Snippet Ark\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fdevspera.com\u002Fzeropad\u002F\">ZeroPad\u003C\u002Fa> keep your code and notes on your machine. Your patterns stay yours. Your AI context stays private. And when you \u003Cem>do\u003C\u002Fem> use cloud-based AI tools, you're sharing only what you choose to share — not your entire codebase.\u003C\u002Fp>\n\n\u003Cp>I wrote about this more in \u003Ca href=\"https:\u002F\u002Fdevspera.com\u002Fposts\u002Fwhy-local-first-apps-are-the-future\u002F\">why local-first apps matter\u003C\u002Fa>, but the short version is: if you're building with AI, you need a local-first knowledge base to keep your intellectual property safe. Your snippets, your patterns, your hard-won solutions — those are valuable. Don't give them away.\u003C\u002Fp>\n\n\u003Ch2>The Code Review Test\u003C\u002Fh2>\n\n\u003Cp>Here's my new personal rule: \u003Cstrong>if you wouldn't approve it in a code review, don't accept it from AI.\u003C\u002Fstrong>\u003C\u002Fp>\n\n\u003Cp>That means:\u003C\u002Fp>\n\u003Cul>\n  \u003Cli>You understand every control flow path\u003C\u002Fli>\n  \u003Cli>You've considered error states and edge cases\u003C\u002Fli>\n  \u003Cli>You're comfortable explaining it to a teammate\u003C\u002Fli>\n  \u003Cli>It matches your project's established patterns\u003C\u002Fli>\n\u003C\u002Ful>\n\n\u003Cp>If any of these are missing, you're borrowing. And borrowing without understanding is how you end up with code you're afraid to touch.\u003C\u002Fp>\n\n\u003Ch2>What About AI-Assisted Refactoring?\u003C\u002Fh2>\n\n\u003Cp>Ironically, the highest-value use of AI in my workflow isn't generating new code — it's \u003Cem>understanding and refactoring\u003C\u002Fem> existing code. \"Explain this function\" or \"rewrite this with fewer conditionals\" or \"split this into smaller functions\" are prompts where the AI acts as a thinking partner, not a replacement.\u003C\u002Fp>\n\n\u003Cp>These operations \u003Cem>reduce\u003C\u002Fem> debt rather than creating it. Use AI for understanding first, generation second.\u003C\u002Fp>\n\n\u003Ch2>Pay Down the Balance Daily\u003C\u002Fh2>\n\n\u003Cp>The goal isn't to avoid AI-generated code. The goal is to keep a clean ledger. Review your commits from today. For every AI-generated block, ask: do I own this code, or does it own me?\u003C\u002Fp>\n\n\u003Cp>If you can't honestly say you own it, don't push it. Refactor it. Understand it. Or replace it with something from your own snippet library.\u003C\u002Fp>\n\n\u003Cp>Your future self — debugging at 2 AM — will thank you.\u003C\u002Fp>\n\n\u003Chr>\n\n\u003Cp>\u003Cstrong>What about you?\u003C\u002Fstrong> Have you found yourself debugging AI-generated code longer than it would've taken to write from scratch? What strategies have you adopted to keep AI code debt under control? \u003Ca href=\"https:\u002F\u002Fdevspera.com\u002Fsnippetark\u002F\">Start building your own pattern library with Snippet Ark\u003C\u002Fa> — your snippets are the best context your AI will ever get.\u003C\u002Fp>\n",1789366677456]