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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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Flow Network Incident Resolved as HTX Restores Full FLOW Services

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Nexo Partners with Bakkt for US Crypto Exchange and Yield Programs

TLDR:

  • HTX confirms all FLOW assets remained intact during the Flow network incident and verification process
  • Flow developers patched the vulnerability responsible for abnormal transactions on December 27
  • HTX restored FLOW trading, deposits, and withdrawals after verifying network stability
  • Exchange removed its January notice following Flow’s detailed post-incident security report

Flow blockchain’s December security incident has reached a full resolution after coordination between the network and major exchange HTX. 

The update confirms the vulnerability responsible for abnormal transactions has been patched and network operations restored. HTX also verified that all user-held FLOW tokens on its platform remain intact. 

Trading, deposits, and withdrawals for the token have resumed normal operations.

Flow Network Incident Resolved as HTX Confirms Normal Operations

The Flow ecosystem shared an update confirming that the issue reported on December 27 has been fully resolved. The incident involved abnormal transactions triggered by a technical vulnerability on the network.

HTX activated internal emergency procedures once it detected the event. The exchange maintained communication with Flow ecosystem partners while monitoring the situation.

The latest update indicates that developers patched the vulnerability and restored normal network activity. The Flow team also identified and addressed abnormal minted assets during the review process.

Flow stated that ecosystem services have stabilized after the corrective actions. Network operations now function normally across supported platforms.

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HTX verified user asset balances during the investigation period. The exchange reported that all FLOW tokens held by customers remain fully validated.

HTX Restores FLOW Trading, Deposits, and Withdrawals

HTX confirmed that FLOW trading resumed after reviewing the network’s recovery. Deposits and withdrawals for the token now operate without restrictions.

The exchange initially issued a notice about the incident on January 13. That notice questioned the security status of the Flow network at the time.

HTX later removed the notice after reviewing the Flow Foundation’s post-incident report. According to HTX, the report provided detailed explanations addressing earlier concerns.

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The exchange stated that the new information clarified how developers handled the vulnerability. It also confirmed that the response restored stability across the network.

Flow Foundation acknowledged the collaboration between both organizations during the investigation period. The foundation stated it expects continued cooperation with HTX moving forward.

HTX reiterated that user asset security remains its top priority. The exchange said it will continue monitoring supported networks and working with ecosystem partners.

The update confirms the incident no longer affects current operations. FLOW trading infrastructure across HTX now runs under normal conditions.

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BTC slips below $68,000 as dollar posts steepest weekly gain

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Bitcoin fails to sustain breakout momentum as rate hikes beckon: Crypto Markets Today

Bitcoin fell to $67,960 by Saturday morning, down 3.4% over the past 24 hours and retreating sharply from the past week’s high. The move fits what has become a recurring script in recent months, with late-week selling dragging prices toward the lower end of the range heading into Saturday.

Majors took the harder hit again. Ether dropped 4.4% to $1,974, solana fell 4% to $84.31, dogecoin lost 2.9% to $0.09, and BNB slid 2.6% to $627. XRP fell 2.2% to $1.37.

The weekly picture tells a more nuanced story though. Bitcoin is still up 3.6% over seven days. Ether has gained 2.6%. BNB added 2.1%. The mid-week surge absorbed the war shock and then some, even if Friday’s pullback took the shine off.

Meanwhile, the dollar posted its steepest weekly gain in a year, strengthening as markets priced in higher energy costs, stickier inflation, and a Fed that has even less room to cut rates. That’s a direct headwind for bitcoin and every other asset denominated against the dollar.

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“As tensions escalated in the Middle East last week, investors moved quickly to the safety of the U.S. dollar, which strengthened as markets began pricing in higher energy prices and reignited inflation fears, potentially delaying Federal Reserve rate cuts,” said Björn Schmidtke, CEO of Aurelion, in an email to CoinDesk.

The on-chain data paints a fragile picture beneath the surface. Glassnode data shows 43% of bitcoin’s total market supply is now sitting at a loss. That’s a significant overhang.

As bitcoin recovers, those underwater holders have an incentive to sell into any rally to break even, creating persistent resistance on the way up. It’s one reason the push to $74,000 on Thursday couldn’t hold. Every bounce toward higher prices runs into supply from people who’ve been waiting months to get out.

One bright spot came from stablecoin flows. Messari recorded a 415% jump in net stablecoin inflows to $1.7 billion over the week, with daily transfers up nearly 10%. That’s potentially dry powder waiting to be deployed, and it suggests retail isn’t entirely absent despite the fear-heavy sentiment. Whether that capital rotates into bitcoin or waits for lower prices is the question.

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The war continues to set the tempo. The U.S.-Iran conflict showed no signs of resolution this week. Oil remains elevated. The Strait of Hormuz is still disrupted. And the macro backdrop of strong dollar, sticky inflation, and delayed rate cuts is the worst combination for risk assets.

Bitcoin’s week looked impressive in headlines, touching $74,000 mid-week, but the round trip from $68,000 to $74,000 and back to $68,000 is just another lap of the range.

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Bitcoin Dip May Not Be Over As Retail Ramps Up Buying: Santiment

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Cryptocurrencies, Bitcoin Price, Adoption

Retail investors have been scooping up Bitcoin after it slipped below $70,000, but whale activity suggests the price could still head lower if past patterns repeat, according to crypto sentiment platform Santiment.

“The moment Bitcoin hit $74k, these key stakeholders began taking profit,” Santiment said in a report on Friday.

Santiment explained that whales — those holding between 10 and 10,000 Bitcoin (BTC) — “accumulated heavily” between Feb. 23 and Mar. 3, when Bitcoin was trading between $62,900 and $69,600.

Cryptocurrencies, Bitcoin Price, Adoption
Whales (green line) have been selling, while retail investors (red line) have been buying more Bitcoin. Source: Santiment

Since Wednesday, when Bitcoin climbed past $70,000 and touched $74,000, the cohort has offloaded around 66% of their recent purchases, Santiment said. Meanwhile, retail investors — those holding below 0.01 Bitcoin — have been increasing their positions.

Correction may not be over yet, says Santiment

“When retail buys while whales sell, it typically signals that the correction is not yet over,” Santiment said. Bitcoin is trading at $67,984 at the time of publication, according to CoinMarketCap.

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Bitcoin’s price decline led the Crypto Fear & Greed Index to fall 6 points, pushing it further into “Extreme Fear” territory with a score of 12 on Saturday.

MN Trading Capital founder Michael van de Poppe shared a similar outlook, saying a further decline is possible. “If Bitcoin doesn’t find support in this $67-68K region, then we’re likely going to retest the lows for liquidity before bouncing back upwards,” van de Poppe said in an X post on Friday.

Spot Bitcoin ETFs post largest outflow day in three weeks

The decline coincided with US-based spot Bitcoin ETFs posting their largest outflow day since Feb. 12, with a total of $348.9 million in net outflows across the 11 ETF products, according to Farside data.

Related: Trump’s National Cyber Strategy pledges to support crypto and blockchain

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Bitcoin’s price fell as low as $60,000 on Feb. 6 during its downtrend from the October all-time high of $126,000 before showing a modest recovery. Economist Timothy Peterson suggests this level could be the floor for the time being.

“This valuation level has always marked a bottom for Bitcoin. About 99.5% chance it stays above $60k,” Peterson said in an X post, referring to the Bitcoin Price to Metcalfe Value chart.

Magazine: The debate over Bitcoin’s four-year cycle is over: Benjamin Cowen