
Technical Debt: AI makes code cheap, but what about the old stuff?
AI is churning out code at lightning speed, making development super cheap. But what happens to all that old software riddled with "technical debt" we're dragging along?
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Tuesday, September 15, 2026
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AI is churning out code at lightning speed, making development super cheap. But what happens to all that old software riddled with "technical debt" we're dragging along?

Picking the right AI for your code is a mess, isn't it? A new open-source project promises to bring some order to your development agents.

Less is more, even in software development. It sounds like a paradox, but constraints often force creative, superior solutions.

Tired of OpenAI Codex's default gray look? Imagine an AI helping you craft custom themes for its interface.
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While everyone else is racing full throttle, OpenAI decided to pump the brakes. Surprising, right? The company announced a temporary slowdown in the development of some AI systems.

Building AI agents feels like a guru's quest, right? Someone finally wrote down how to do it, no fluff included.
Imagine an AI so good it becomes a master hacker. OpenAI hit the brakes on its Astra model for exactly that reason.
AI made us all faster at writing code, but nobody's asking the question that actually matters: did we become better engineers or just lazier? Turns out someone decided to build a quiz to figure out exactly what kind of developer you really are.

While everyone's rushing to cram AI into every corner of their codebase, someone decided to go the opposite way: use AI as little as possible. It's not a provocation—it's a lesson in pragmatism more people should hear.

Bob Starr had built a cute little app in just a few hours: follow the vibe, let intuition guide you, and the code flows out naturally. What he didn't know was that his masterpiece was quietly harboring a security hole that could've unlocked everything to anyone.

How many times have you heard "yeah, but the code works"? It's like treating a serious infection based on your most confident friend's advice instead of getting an actual test. That's precisely what happens when we outsource code quality to an AI and hope for the best.