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The New AI-Driven Era of Software Development

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The New AI-Driven Era of Software Development

In early 2025, the term vibe coding began to circulate widely across the technology community. Coined by AI researcher Andrej Karpathy, it refers to a radically different way of building software. Instead of writing code line by line, the developer simply describes what they want to achieve in natural language, and an artificial intelligence system translates that description into executable code.

This article explores what vibe coding is, how it works, its main advantages and risks, and how it fits within the broader movement of AI-driven software development. It also examines the social and ethical dimensions of this emerging paradigm and what the future might look like if the “vibe” becomes mainstream.

What is Vibe Coding?

Vibe coding is a form of AI-assisted programming in which a developer describes a problem or a desired feature using natural language. A large language model (LLM), such as GPT or Claude, then generates the corresponding source code that implements it. Rather than acting as a mere autocomplete tool, the AI effectively becomes a creative collaborator capable of producing entire systems or applications from conceptual prompts.

The term was first introduced by Andrej Karpathy, former AI director at Tesla and a leading figure in the OpenAI ecosystem. In one of his social media posts, he summarised the concept with the now-famous phrase: “fully give in to the vibes, embrace exponentials, and forget that the code even exists.” He associated vibe coding with a freer, more experimental and iterative form of development. By mid-2025, Merriam-Webster had even listed “vibe coding” as an emerging slang term within technology.

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It is important to distinguish vibe coding from traditional AI-assisted programming. Using an AI tool to generate snippets or suggest completions is not quite the same thing. What defines vibe coding is a change in mindset. Instead of controlling every detail of the code, the developer focuses on intention, results, and iterative feedback. Simon Willison, a well-known software engineer, has noted that if you still read and understand every line the AI produces, you are not truly vibe coding — you are simply using a language model as an assistant.

How Vibe Coding Works

Although the idea sounds straightforward, the practice of vibe coding involves a dynamic interplay between human creativity and machine intelligence. It typically begins with a prompt: the developer describes what they want, for example, “create an interactive dashboard using data from environmental sensors.” The AI produces the initial code, and the developer then refines it through follow-up instructions such as “make the colours change with temperature” or “add a live refresh feature.” This loop of experimentation and adjustment lies at the heart of vibe coding.

Developers primarily evaluate code through execution rather than inspection. They run the programme, see whether it behaves as expected, and request corrections when errors arise. Manual debugging still plays a role, but the relationship with code becomes more conversational than mechanical. Over time, trust in the AI fluctuates. Developers learn which tasks can be safely delegated and when to intervene directly. Researchers have described this as a process of “calibrating trust,” in which the human defines how much to rely on the system at each stage of development.

The Benefits of Vibe Coding

One of the greatest strengths of vibe coding is its speed. Ideas can be transformed into functional prototypes in a fraction of the time it would take traditional coding. This speed makes it particularly useful for startups, research teams and creative professionals who need to explore multiple directions quickly.

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Another significant benefit is accessibility. People with limited technical training can now create simple applications or automate workflows without learning programming languages in depth. This democratisation of software creation could empower a new generation of makers and entrepreneurs.

By delegating repetitive or boilerplate tasks to the AI, developers can focus on strategic design and high-level logic. The workflow also encourages a sense of creative flow: instead of getting lost in syntax, the human partner can concentrate on goals, functionality and user experience. Many practitioners describe vibe coding as liberating, turning software creation into an expressive process similar to design or storytelling.

Risks and Limitations

Despite its promise, vibe coding carries significant risks. The most obvious one is the loss of understanding. Accepting generated code without reviewing it can lead to serious issues when something goes wrong. Bugs, security vulnerabilities or unexpected behaviours may remain unnoticed until they cause damage. As Andrew Ng has pointed out, vibe coding can sound effortless, but in reality, it remains cognitively demanding and far from trivial.

Quality and maintainability are also major concerns. Code produced by AI models may be inefficient, inconsistent or difficult to update, especially in large-scale projects. Furthermore, compliance and data protection become complex when generated code integrates external libraries or APIs without explicit human oversight. In 2025, a case involving the platform Base44 revealed security flaws in applications created through automated AI workflows, highlighting the importance of robust verification processes.

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Culturally, some developers fear that vibe coding could erode traditional craftsmanship in software engineering. The discipline and rigour associated with manual coding is being replaced by superficial experimentation. Others have coined the term “vibe coding hell” to describe an over-reliance on AI, where developers use it for everything, including trivial tasks, eventually losing confidence in their own technical skills.

Vibe Coding and Artificial Intelligence

Vibe coding represents a natural evolution of generative AI. It is not just a new technique but a redefinition of the relationship between humans and machines. Instead of translating ideas into syntax, developers now express intentions through prompts, while the AI interprets and executes them. Researchers have called this shift a “mediation of intent,” where the act of programming becomes probabilistic and collaborative.

In this new model, cognitive work is redistributed. The human becomes a designer of prompts, a tester and a strategist, while the AI handles most of the implementation. Some scholars describe the process as “material disengagement” — the developer orchestrates code indirectly, maintaining creative control without manual manipulation.

Empirical studies show that vibe coders often experience high levels of creative flow and satisfaction when working with AI systems, even though they also face challenges such as latency, debugging uncertainty and fluctuating trust. Early adoption in technology firms like Notion and several AI startups suggests that vibe coding may soon become a standard practice for internal prototyping and innovation.

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Responsible Use and Best Practices

To benefit from vibe coding without falling into its traps, developers should adopt specific best practices. Automated testing, static analysis and version control are essential to ensure reliability, even when the code is not fully read. Prompts should be written with transparency and clear objectives to avoid ambiguous or insecure results.

Human oversight must remain a core principle. Developers need to decide when to trust the AI and when to intervene manually, particularly in systems that handle sensitive data or critical operations. Maintaining detailed records of prompts and outputs can improve reproducibility and accountability.

Security audits and compliance checks are equally vital. AI-generated software must respect privacy standards and industry regulations. A hybrid approach, using vibe coding for rapid experimentation and conventional programming for critical components, seems to offer the best balance. Above all, developers should continue strengthening their ability to understand and review code, since comprehension remains the ultimate safeguard against failure.

The Future of Vibe Coding 

Vibe coding marks a genuine paradigm shift in how software is created. It is not just about faster coding but about redefining the human role in development, from coder to orchestrator, from writer to conductor of intelligent systems. Academic research increasingly treats it as a socio-technical phenomenon that blends trust, creativity and delegation between humans and machines.

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Yet, vibe coding is not a magical solution. Without testing, documentation and ethical oversight, projects built on “vibes” can easily become unreliable or even dangerous. The next few years will likely bring more sophisticated tools, conversational interfaces, and automated audits tailored to AI-generated code. We may also see the emergence of new professional standards focused on safety, transparency and accountability in AI-assisted development.

If used responsibly, vibe coding could democratise software creation, accelerate innovation and make technology more accessible than ever before. But like all powerful tools, it demands critical thinking, human supervision and a commitment to quality. The true promise of vibe coding lies not in abandoning code, but in transforming the act of coding into a more intuitive, creative and collaborative process.

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Ethereum apps can’t just pay their way to real adoption, Vitalik warns

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ETH liquidation walls at $2,057–$1,863 set stage for violent move

Vitalik Buterin says crypto apps must move beyond “pay users or fail,” using incentives only to offset early risks while focusing on real utility and committed communities.

Ethereum co-founder Vitalik Buterin has weighed in on ongoing debates within the cryptocurrency industry regarding user acquisition strategies, cautioning against reliance on unsustainable financial incentives.

Buterin goes on recent cryptocurrency rant

In a recent online discussion on X, Buterin responded to claims that cryptocurrency applications cannot achieve meaningful adoption without airdrops or token rewards. The debate centered on whether financial payouts remain essential for building network effects in the sector.

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Buterin acknowledged that incentives reflect current market conditions but warned against adopting a “pay users or fail” growth strategy, according to his posts on the social media platform.

The Ethereum co-founder drew distinctions between sustainable and unsustainable reward structures. Sustainable models involve paying certain users from revenue collected from others, creating an economic loop that mirrors traditional business models where income funds growth, he stated.

Buterin said paying users during early project stages can be justified in specific circumstances. Liquidity providers face risks including potential hacks or project failure, as new protocols carry technical and security vulnerabilities, he noted. Rewards in these cases serve as compensation for assuming elevated risk levels.

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Once projects complete audits and establish trust within the sector, risk levels decline and high rewards become unnecessary, according to Buterin’s analysis.

The approach differs from paying users solely to generate activity or traffic, he stated. Paying all users during early growth phases can create long-term sustainability issues, as teams may incorrectly assume future profits will cover initial spending. Activity often drops once rewards end because many users joined exclusively for payouts, Buterin noted.

Aggressive reward campaigns risk undermining cryptocurrency communities, according to the post. Projects that compensate users for posting promotional content frequently produce unintended outcomes, with creators focusing on earning rewards rather than producing quality content. Activity typically declines when payments cease, as users lack incentives to continue platform engagement.

Buterin distinguished between decentralized finance applications and social platforms. In DeFi, capital functions uniformly regardless of provider, he stated. On social platforms, quality and active users carry more significance than user base size.

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Committed community members often build tools, write documentation and answer forum questions without expecting rewards, according to Buterin. These contributions tend to strengthen projects over time, he stated.

Effective incentives should offset temporary weaknesses in early-stage products and decline as those weaknesses diminish, Buterin argued. Campaigns that pay users to inflate metrics can create appearances of adoption while failing to build sustainable communities.

“The bulk of the effort should be on making an actually-useful app. This was historically ignored, because it’s not necessary for narrative engineering to create a speculative bubble. But now it is necessary,” Buterin wrote.

The Ethereum co-founder argued that the cryptocurrency sector is gradually transitioning toward models driven by real utility rather than reward-led growth. Strong incentive structures compensate for early disadvantages and naturally phase out as projects mature, according to his statements.

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Nasdaq Drops 2% as AI Jitters Spread

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Stocks Little Changed After Fed Decision

The Nasdaq Composite led a broad market selloff on Thursday, as artificial intelligence fears reemerged on Wall Street.

The tech-heavy index sank 2%. The S&P 500 dropped 1.6%. The Dow Jones Industrial Average fell 663 points, or 1.3%.

The Roundhill Magnificent Seven ETF closed down nearly 11% from its closing high of $69.06 on Oct. 29, according to Dow Jones Market Data. A decline of 10% or more from a recent high means an index is in correction territory.

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DOJ warns of Valentine’s Day romance scams

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DOJ warns of Valentine’s Day romance scams

As Valentine’s Day approaches, the U.S. Attorney’s Office for the Northern District of Ohio is warning the public about a surge in romance scams that target people through online relationships and often lead to financial loss, including requests for cryptocurrency payments.

Summary

  • The U.S. Attorney’s Office for the Northern District of Ohio issued a Valentine’s Day warning about a surge in romance scams, many involving cryptocurrency payments.
  • Scammers build fake online relationships over weeks or months before requesting money for “emergencies,” travel, or bogus crypto investments.
  • Officials urge the public never to send gift cards, wire transfers, or cryptocurrency to someone they have not met in person, citing rising financial losses nationwide.

Criminals behind these schemes exploit victims’ trust and emotions by posing as romantic partners on dating sites, social media and messaging apps.

After building what appears to be a genuine relationship over weeks or months, scammers eventually ask victims for money, often under the guise of emergencies, travel costs or investment opportunities.

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How crypto romance scams typically work

“Romance scammers are not looking for love — they are looking for money,” said U.S. Attorney David M. Toepfer. “They prey on trust and emotion … never send money to someone you have not met in person.”

According to the federal warning, fraudsters typically follow a pattern:

  • They create fake profiles using stolen photos.
  • Claim to work overseas in the military, oil rigs or business.
  • Quickly profess deep feelings or commitment.
  • Shift conversations off public platforms to private messaging.

Red flags include early declarations of love, excuses for not meeting in person, repeated “emergencies,” and unusual payment requests, especially gift cards, cryptocurrency or wire transfers.

Such scams have grown more sophisticated in recent years. In some cases, victims are directed to bogus investment platforms that promise unrealistically high returns before the scammers disappear with funds.

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National reports have found that romance and confidence scams accounted for significant losses, often involving cryptocurrency transactions.

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Are Quantum-Proof Bitcoin Wallets Insurance or a Fear Tax?

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Are Quantum-Proof Bitcoin Wallets Insurance or a Fear Tax?

Cryptocurrency wallet makers and security companies are pushing out post-quantum products even though large-scale quantum computers capable of breaking Bitcoin do not exist yet.

The US National Institute of Standards and Technology (NIST) finalized its first post-quantum cryptography standards in 2024 and called for migrations before 2030.

As standards bodies plan for a gradual cryptographic transition, parts of the wallet market are already monetizing that future.

“I do feel that it is a bit of a fear tax. We know that quantum computers are far away — still five to 15 years away,” Alexei Zamyatin, co-founder of Build on Bitcoin (BOB), told Cointelegraph.

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Bitcoin is trading roughly 50% below its October 2025 all-time high. Among the handful of theories attempting to explain crypto’s recent decline is a growing concern that quantum computing risks may be deterring institutional capital from Bitcoin.

Bitcoin’s 2026 decline pulled the cryptocurrency below $70,000. Source: CoinGecko

The quantum risk is not zero, and it is not sudden

The quantum vulnerability often discussed is Bitcoin’s Elliptic Curve Digital Signature Algorithm, which authorizes transactions. In theory, a powerful quantum computer could derive a private key from an exposed public key and claim the coins sitting in an address.

Today’s quantum hardware isn’t capable of breaking the elliptic curve signatures. But that doesn’t mean threat actors are waiting around for a technical breakthrough.

“Many users expect a single ‘Q-Day’ in the future when cryptography suddenly fails. In reality, risk accumulates gradually as cryptographic assumptions weaken and exposure increases,” Kapil Dhiman, CEO and co-founder of Quranium, told Cointelegraph.

“Harvest now, decrypt-later strategies are already active, meaning data and signatures exposed today are being collected against future capability,” he said.

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Related: What if quantum computers already broke Bitcoin?

In Bitcoin’s case, the concern is for older exposed public keys. Once a public key appears onchain, it remains permanently visible. Modern address formats obscure public keys until coins are spent.

CoinShares Bitcoin researcher Christopher Bendiksen said that just 10,230 Bitcoin (BTC) sit in addresses with publicly exposed public keys that would be vulnerable to a sufficiently powerful quantum attack.

The CoinShares researcher said 1.62 million BTC is in wallets holding under 100 BTC, which would take too long to unlock. Source: CoinShares

The quantum fear business

While the Bitcoin community debates how far away quantum computing is, crypto wallet makers are operating on their own clock.

Trezor’s Safe 7 is marketed as a “quantum-ready” hardware wallet. Separately, qLabs recently introduced the Quantum-Sig wallet, which it claims embeds post-quantum signatures directly into its signing process.

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Crypto wallet makers are already rolling out quantum-ready hardware. Source: Trezor

BOB’s Zamyatin argued that wallet-level defenses would not solve Bitcoin’s quantum risk. Bitcoin transactions are authorized using a signature scheme embedded in the protocol itself. If that cryptography were ever broken, the fix would require a protocol-level change.

“I personally wouldn’t invest a lot of money into a quantum wallet right now because I don’t even know what protection it gives me for Bitcoin. It can’t really give me any protection, in my opinion, because Bitcoin doesn’t have a quantum-resistant signature scheme yet.”

Ada Jonušė, executive director at qLabs, agreed that full quantum resilience requires protocol-level defense. However, brushing off modern infrastructure as a fear tax overlooks the transitional nature of security upgrades.

“Quantum risk is not binary. Even before a protocol-level migration occurs, there is a real ‘harvest now, decrypt later’ threat,” she told Cointelegraph, claiming that qLabs’ approach reduces exposed key surface.

“Quantum readiness is about proactive infrastructure planning, not fear monetization,” Jonušė said.

Related: Bitcoin’s quantum countdown has already begun, Naoris CEO says

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Trezor also admitted that blockchains themselves need to change their cryptography and protocol. But Tomáš Sušánka, the company’s chief technology officer, told Cointelegraph that wallets can implement protections right away instead of waiting for protracted blockchain upgrades.

“Once the blockchains upgrade, wallets must also support the same algorithms to remain compatible,” Sušánka said. He added that Trezor Safe 7 uses a post-quantum algorithm to protect against future quantum computers forging digital signatures and signing malicious firmware updates.

Market incentives and Bitcoin’s governance hurdle

Unlike iPhones, which are released almost every year, hardware wallets and other security products typically have multi-year product lifecycles. Introducing post-quantum features in a new product gives a reason for customers to buy a new device, even if the threat is distant.

“Yes, parts of the crypto industry do have incentives to amplify quantum risk, but that incentive is increasingly driven by regulatory and institutional alignment, not short-term sales alone,” said Dhiman, whose Quranium powers the Qsafe wallet.

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“For most users, quantum-secure wallets today function as long-term insurance. The responsible approach is to acknowledge the transition ahead, avoid urgency driven by fear and choose systems designed to evolve without forcing abrupt replacements.”

Several blockchains are advancing with post-quantum strategies, but Bitcoin has been relatively hesitant. Some of the network’s most influential voices have brushed off the threat as a problem for the future.

Unlike Bitcoin, Ethereum has a widely recognized figurehead. Co-founder Vitalik Buterin has advocated for post-quantum preparations, and the network has been steering in that direction.

For Bitcoin, the issue is social consensus, coordination and the willingness to act, according to Zamyatin.

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“It’s not like [Bitcoin has] one person that everyone will follow. It will require a broad social consensus, which is very hard to achieve,” he said.

Wallet makers agree that full quantum protection has to come from the protocol. But even if the risk is years away, they can act as insurance to help investors sleep better at night, though some argue they amount to a fear tax.

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