Vibe slop is the symptom. Context debt is the disease.
Some of the engineers who made vibe coding possible have decided it’s a problem. Last month, TheWall Street Journal’s Christopher Mims interviewed Armin Ronacher and Mario Zechner, the engineers behind the Pi engine that powers OpenClaw. These engineers have been instrumental in popularizing these agentic tools, and their assessment was blunt: The tools are flooding the world with bad, sometimes dangerous code. “Eventually it will catch up to us,” Zechner told Mims.
They’re referring to vibe slop. Code that’s bug-ridden, inefficient, hard-to-maintain software produced by someone prompting it into existence. Ronacher and Zechner talked about an overlooked aspect of vibe coding, too. Sloppy code doesn’t just break more; it burns more compute, more memory, and more bandwidth, they said. They warned some vibe-coded startups may not be able to pay their own compute bills, either.
I largely agree with Ronacher and Zechner. But someone put a sharper name to the problem, and he did it in a product launch post. He also tells The New Stack the window is at six to nine months before context debt outruns most teams’ ability to manage it by hand.
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During the recent MCP Dev Summit North America held in New York City, The New Stack sat down with Till Döhmen, MotherDuck’s AI lead, to discuss how MotherDuck started its MCP journey and how even non-technical workers at the startup can now use agents to interact with their own data rather than relying on dashboards. Tune in to catch the episode!
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OpenAI’s improving gross margins matter, and its upcoming chip project could provide the AI lab and hyperscaler even better economics in the coming quarters. But what about Anthropic?