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Collins Word Of The Year 2025 Is About AI Again: This Time, It’s “Vibe Coding”

  • November 6, 2025
    Updated
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Collins picked vibe coding as its 2025 Word of the Year, tapping a term born from AI-assisted software creation that has jumped from developer slang into mainstream culture.

📌 Key Takeaways

  • Collins chose vibe coding after a rapid surge in use across its 24-billion-word corpus.
  • The term describes prompting AI to generate working code, then refining through conversation.
  • Lexicographers say it marks a shift that makes coding feel accessible to non-experts.
  • Shortlist included clanker, HENRY, aura farming, taskmasking, and more.
  • The pick lands in a year when other dictionaries crowned very different trends, like “67.”


“Vibe Coding” Wins Collins Word of the Year 2025

Collins’ team flagged a sharp rise in everyday mentions of vibe coding, not just inside developer forums but in general news and social feeds. That is unusual for a programming phrase and signals a broader cultural moment around AI use.

The shortlist around it skews tech-heavy. Words like clanker and biohacking reflect how people talk about automation, the body, and work. Lifestyle entries such as coolcation, HENRY, and micro-retirement round out the year’s mix.


What “Vibe Coding” Actually Means In Practice

At its core, vibe coding is telling an AI what you want and getting code back. You iterate by chatting with the model, testing results, and asking for fixes, instead of hand-crafting every function.

Cambridge frames it as using natural language to focus on what the program should do. Merriam-Webster’s slang note highlights the trade-off many see in practice: faster output with a higher risk of glitches if humans stop reading the code closely.


How It Differs From Traditional Coding

Traditional workflows center on syntax and structure first. Vibe coding centers on intent. You describe the feature, the AI writes a draft, and you steer by feedback and tests.

Researchers and industry explain it as a shift in the developer’s role. Less time typing loops and imports, more time specifying goals, running trials, and deciding when the AI is “good enough” to ship or when humans must step in.


Where The Phrase Came From And Why It Stuck

The phrase caught on after Andrej Karpathy popularized it early this year. The hook is memorable, and the behavior is visible in modern tools, from chat-based assistants to agentic editors. As non-coders try small apps, the label travels beyond engineering.

Media coverage and podcast demos helped it spread. Once the term left niche threads and hit general audiences, it behaved like other tech neologisms that turn into everyday shorthand.

“The selection of ‘vibe coding’ perfectly captures how language is evolving alongside technology. It signals a major shift in software development, where AI is making coding more accessible.” — Alex Beecroft, Managing Director, Collins

“There’s a new kind of coding I call ‘vibe coding,’ where you fully give in to the vibes and forget that the code even exists.” — Andrej Karpathy, Computer Scientist


The Shortlist Tells A Bigger Story About 2025

Collins pairs the winner with a top-ten snapshot of the year’s talk. Aura farming points to online performance. Glaze calls out over-praise. Taskmasking captures performative productivity. Together, they sketch a year shaped by AI, work, and identity.

It also contrasts with other dictionaries. One major site picked “67,” a viral Gen Alpha meme, underscoring how fractured the lexicon feels. Collins went with a work-and-tools word that many can apply in real tasks.


Conclusion

“Vibe coding” is not a gimmick term. It is a label for a real behavior that many teams and hobbyists already practice. That is why a specialist phrase could become a public Word of the Year.

Whether it is progress or a warning depends on use. If people keep reviewing code and testing carefully, AI becomes a helpful partner. If they stop reading what ships, the vibe may outrun quality.


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Khurram Hanif

Reporter, AI News

Khurram Hanif, AI Reporter at AllAboutAI.com, covers model launches, safety research, regulation, and the real-world impact of AI with fast, accurate, and sourced reporting.

He’s known for turning dense papers and public filings into plain-English explainers, quick on-the-day updates, and practical takeaways. His work includes live coverage of major announcements and concise weekly briefings that track what actually matters.

Outside of work, Khurram squads up in Call of Duty and spends downtime tinkering with PCs, testing apps, and hunting for thoughtful tech gear.

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