Smart contract developers and auditors, in a turn of events that could either be hailed as a triumph of technology or derided as the latest fiasco in the crypto world, have assured CryptoMoon that the integration of artificial intelligence in programming will fortify the crypto domain, despite murmurs that AI-generated code might be the Trojan horse of the digital age.
A report from the Center for Security and Emerging Technology, released in the gloomy month of November 2024, cast a shadow over the sunny promises of AI in cybersecurity. The document, as somber as a Victorian funeral, suggested that AI’s assistance in coding could be more detrimental than beneficial. It posited that AI-generated code is not only riddled with vulnerabilities but also that the AI models themselves are susceptible to attacks and manipulation. 🚨
The researchers, with a flair for the dramatic, pointed out that the code generated by these AI models could have far-reaching consequences, potentially infiltrating the very foundations of future AI training datasets. “Our evaluation results show that almost half of the code snippets produced by these five different models contain bugs,” they declared, as if reading from a script penned by a dystopian novelist.
A separate study in July 2024, which seemed to have been conducted with the precision of a Swiss watchmaker, developed a 180-task benchmark spanning 44 vulnerability types. The findings were grim: the state-of-the-art AIs had a median secure-code pass-rate of under 35%. Yet, in a twist that could only be described as a plot straight out of a tech thriller, crypto smart contract developers and auditors remain optimistic that AI-assisted coding will usher in a new era of safety and security in the crypto ecosystem.
AI: The Sidekick, Not the Hero
The developers, when quizzed by CryptoMoon, insisted that AI tools are merely supplementary, not replacements, for the irreplaceable human mind. 0xAw, the enigmatic lead developer at Base decentralized exchange, Alien Base, confided that he employs AI “mostly as a tool to get quick reference checks on how to do something.” He admitted to using AI to churn out “cookie-cutter” code, adding with a hint of irony, “It now works for the really obvious stuff.”
Anton Holovchenko, a senior blockchain developer at Hacken, revealed that he leverages Cursor, an integrated development environment with AI features, for his work. He uses it for auto-completions and templating, explaining, “It helps me explain which type of contract replacement you need, and that’s it.” However, he emphasized that the final adjustments and corrections must be made by a human hand, not left to the whims of an AI. “I use AI for templating, not vibe coding,” he clarified, a term that has gained currency for describing the practice of letting AI code independently, with minimal human oversight. 🤖
AI: The Unavoidable Companion in Smart Contract Programming
The Guardian of Web3 Security?
Holovchenko opined that the widespread adoption of AI-assisted programming, when wielded by competent hands, could elevate the quality of code. “If you’re just vibe coding or delegating too much to AI, you will just see in the end of AI answer ‘Your code is safe now,’ and you will believe it because you don’t know how to code and your code can be actually not safe. In my opinion AI can increase the code quality but only in pair with a human who understands the coding,” he mused philosophically.
0xAw, ever the realist, noted a worrying trend among junior developers who lean heavily on AI, believing it to be a panacea for all their coding woes. “They think it can do everything for them,” he lamented, “often with bad results.” Nevertheless, he remains optimistic that AI usage in Web3 programming is “fine” since “smart contract development requires so much testing and refinement” that bugs are typically ironed out before deployment. His concern, however, lies in the potential for junior developers to stagnate if they become overly reliant on AI tools.
Tiutin, the ever-pragmatic CTO, believes that AI tools will result in “more protocols with stronger baseline security — meaning fewer careless mistakes.” He anticipates that AI will drive cost optimization in smart contract auditing firms without compromising the price, given that what clients pay for is the auditor’s reputation, not the audit itself. “Audits are more about sharing responsibility than actual contract security,” he concluded, a statement that could be the epitaph for a generation of overconfident coders. 🧐
Read More
- MNT PREDICTION. MNT cryptocurrency
- BTC PREDICTION. BTC cryptocurrency
- USD PKR PREDICTION
- USD UAH PREDICTION
- HYPE PREDICTION. HYPE cryptocurrency
- USD INR PREDICTION
- USD HUF PREDICTION
- EUR BRL PREDICTION
- EUR PLN PREDICTION
- USD ISK PREDICTION
2025-07-25 17:45