SOFTWARE

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Like clouds, balloons, and that story you told at the company holiday party, AI models drift.

Employees across all industries are relying on vibe coding via plain-language prompts. While a global 2025 Stack Overflow study found that almost 12% of developers admit to “vibe coding” in their daily work, non-tech employees are utilizing chatbots to code, as well.

There’s a significant downside to vibe-coding’s speed, however: a careless prompt could allow an AI-powered app to act beyond its original intentions, producing wrong outputs or breaking at a crucial moment.

We spoke with creators of vibe-coded CRMs and coffeebots about how they make sure their AI ideas don’t sail off into the distance.

Making sure your AI doesn’t drift off a cliff.—BH

      

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IT STRATEGY

Anna Kim

AI job listings are often seeking skills that don’t align with their posted job title.

That’s according to a recent study from AI-native talent and services platform Andela, which analyzed 47,101 software job listings posted by companies in the Fortune 500 between March and May. Out of the 1,832 postings for AI and ML engineers, the study found, 53% ask for technical skills that were associated with two other established roles.

“The AI engineer and the ML engineer right now are two of the most ambiguous job postings that are out there,” Cory Hymel, head of research at Andela, told IT Brew. “And [companies are] hiring for these roles, but they’re not really sure what people should be doing underneath.”

Andela also observed companies hiring for data scientists, but then asking employed professionals to ship LLM agents.

How job titles can catch up to the tech.—BM

      

IT STRATEGY

Morning Brew Inc.

A long-simmering sense of public mistrust in AI finally boiled over this month, leading the tech industry to recalculate how it builds the technology—although much of the danger may stem from decisions about deployment and safeguards.

After researcher Jacob Coxon publicly quit his position at Anthropic on September 8, warning that the company was being irresponsible in its stewardship of its AI models and careless with the danger they pose, fears that AI could pose an existential threat to humanity overtook the public discourse.

As Uncle Ben told Peter Parker, with great power comes great responsibility. That’s a potential lesson for an AI industry deploying autonomous agents without proper guardrails, said Ramy Rahman, senior solutions engineer at ArmorCode, and it needs to change.

“The challenge now is we really need to up our game when it comes to extending the right amount of privilege to the AI and holding its hand through the process, which turns out to be extremely difficult when you have something that is solving mathematical problems that are at speed,” Rahman said. “Humans are not capturing the risks quickly enough.”

Clear and present danger?—EH

      

patch notes

Francis Scialabba

Today’s top IT reads.

Stat: 12,000. That’s how many Microsoft accounts a subscription-based scam platform compromised with the help of an AI chatbot that has since been disrupted, according to Microsoft. (Ars Technica)

Quote: “It creates this glut of applications at the top of the funnel that starts to muddy up the system of everyone doing that recruiting cycle.”—Nicholas Kowalczyk, VP and chief risk, compliance, and privacy officer for staffing and workforce solutions company Kelly Services, about automated IT worker scams (Dark Reading)

Read: With “rogue” agents continuing to make headlines, OpenAI has paused some AI training. (The Register)

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