Here's a pattern I've watched play out dozens of times since AI coding assistants became mainstream in dev workflows. Something breaks in your pipeline—maybe it's a stateful process that doesn't clean up properly, maybe it's an API with inconsistent response timing, maybe it's just legacy behavior nobody understands anymore. You hand the problem to an AI agent expecting magic, and what you get is layer upon layer of increasingly sophisticated patches.

The Incremental Fix Trap

Coding agents are remarkably good at finding the next plausible fix. If a cookie isn't being removed properly, they adjust the cookie handling logic. If two browsers behave differently, they investigate browser-specific behavior. If a result depends on timing, they add a delay. Each individual step looks reasonable in isolation. The agent has successfully addressed every symptom you described.

Why This Is Actually a Problem

The danger is that each step being individually reasonable makes the overall solution progressively more fragile. What started as a simple workflow now requires a specific sequence of operations, exact timing intervals, and browser-specific handling to work correctly. You've traded an ugly problem for an invisible one—which is somehow worse.

When You Actually Need a Hack

Real talk: sometimes production software has quirks that aren't bugs—they're features nobody documented. Sometimes the 'correct' solution requires architectural changes your team doesn't have bandwidth for. Sometimes you just need something to work by Friday.

The Step-Back Strategy

The insight from developers who've learned this lesson is simple: when your workflow needs a hack, tell your AI assistant to stop fixing symptoms and start questioning the approach. Ask it to identify what assumptions are being made. Ask it what a minimal solution would look like versus a comprehensive one.

Key Takeaways

  • AI agents optimize for plausible next steps, not optimal outcomes
  • Incremental fixes can create more complex problems than they solve
  • Sometimes the right answer is 'add a cron job that clears this table every night'
  • The best developers know when to use duct tape and when to rebuild from scratch

The Bottom Line

AI coding agents are incredible for implementing solutions you already understand. They're dangerous when you need to figure out what you actually need—because they'll happily implement whatever you ask for, even when you're solving the wrong problem.