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CATEGORY: coding


HTC launches no-code game creator for Viverse metaverse

Author: Cointelegraph by Tristan Greene
United States
Aug 23, 2024 12:00

HTC launches no-code game creator for Viverse metaverse

Creators can build out massively multiplayer games and social spaces using the in-world VR user interface.

Aug 23, 2024 02:15

Understanding Decoding Strategies in Large Language Models (LLMs)


Explore how Large Language Models (LLMs) choose the next word using decoding strategies. Learn about different methods like greedy search, beam search, and more. (Read More)

Jul 25, 2024 02:15

Codestral Mamba: NVIDIA's Next-Gen Coding LLM Revolutionizes Code Completion


NVIDIA's Codestral Mamba, built on Mamba-2 architecture, revolutionizes code completion with advanced AI, enabling superior coding efficiency. (Read More)

Jun 25, 2024 02:15

IBM Research Unveils Cost-Effective AI Inferencing with Speculative Decoding


IBM Research has developed a speculative decoding technique combined with paged attention to significantly enhance the cost performance of large language model (LLM) inferencing. (Read More)

May 22, 2025 02:20

Together Code Sandbox Unveils Advanced Infrastructure for AI Coding Solutions


Together Code Sandbox introduces a robust infrastructure for AI coding tools, optimizing virtual sandboxing with rapid VM startup and scalability, according to Together.ai. (Read More)

May 20, 2025 02:15

GitHub Introduces Advanced Copilot Coding Agent for Task Automation


GitHub unveils a new Copilot feature, a coding agent that automates tasks using GitHub Actions, enhancing efficiency and security in software development. (Read More)

AI vibe coding: what it is, why its risky, and how to stay safe

Author: Cointelegraph by Jules Winnfield
United States
May 17, 2025 12:00

AI vibe coding: what it is, why its risky, and how to stay safe

What is AI vibe coding?

AI vibe coding is a novel approach to software development that generates advanced, executable code based on well-crafted natural language user prompts. 

Yet another innovation fueled by artificial intelligence capabilities, AI vibe coding is proving to be a game-changer, especially for non-technical enthusiasts who can now experiment with software development and contribute to the ever-expanding technology ecosystem.

At a fundamental level, AI vibe coding uses advanced machine learning algorithms to interpret natural language instructions and generate corresponding code in the desired software language. 

Users can input their requirements in plain language, such as “create a crypto website with a blog section and user login functionality,” and AI tools will generate the appropriate body of code needed to realize the project. This contrasts with traditional software development practices, which require the user to be skilled in programming languages and incorporate formal reviews along the journey. 

Notably, Charlie Shrem, an early Bitcoin pioneer, is bringing back the Bitcoin faucet — a site where people earn small amounts of Bitcoin by solving CAPTCHAs. His new site, 21million.com, is inspired by a 2010 version that helped spread Bitcoin in its early days. 

Right now, the site isn’t fully working and has no Bitcoin (BTC) to claim, but Shrem says it’s meant to help new users get started, with no hidden catch. He’s building it using AI tools, calling it “vibe coding.” Shrem, who once ran a major Bitcoin exchange, hopes this project will spark fresh interest in Bitcoin.

While AI vibe coding can lead to faster software development results, there is a risk that the output generated from a vibe coding approach may not be adequately reviewed and signed off, which is where traditional coding practices continue to offer safeguards.

Did you know? The term “vibe coding” was popularized by OpenAI co-founder Andrej Karpathy, who described it as a way to “fully give in to the vibes,” effectively embracing AI-generated code without manually tweaking it.

Key features of AI vibe coding

Unlike traditional coding, AI vibe coding requires no formal software development qualifications for users to get started. All you need to vibe code is an idea, with the ability to write it clearly using natural language prompts.

Fundamentally, AI vibe coding is characterized by the following features:

  • Natural language processing (NLP): AI vibe coding relies heavily on NLP to understand and process user instructions. 
  • Machine learning: As with all practical applications of AI, machine learning models trained on vast amounts of coding data are used to generate executable code based on user prompts.
  • Real-time feedback: Users can receive and provide immediate feedback on the output, allowing for efficient code iteration and refinement.
  • Accessibility: Vibe coding democratizes software development, enabling individuals without formal coding training to create functional applications. It lowers or eliminates the entry barriers into programming, empowering more users to participate in technology design and foster innovation from diverse perspectives.
Why is AI vibe coding considered risky?

Despite its obvious benefits, AI vibe coding carries many risks that users must be aware of and mitigate as required. These risks range from security concerns to ethical and legal implications. 

Understanding the risks associated with AI vibe coding can help users alleviate potential issues and legal implications. Here’s a post by Matt Palmer outlining common safeguards to be considered for AI vibe coding. 

Some of the common risks associated with AI vibe coding are:

  • Security concerns: AI-generated code might be susceptible to vulnerabilities if the underlying algorithms fail to account for security best practices. After all, AI learns from somewhere else! Therefore, inexperienced users might inadvertently create applications prone to cyberattacks, exposing sensitive data and risking user trust. This is particularly concerning when building applications that handle personal or financial information, as even a minor security flaw can have significant repercussions.
  • Code quality: While AI tools can generate functional code, the quality and reliability of this code may vary, and will certainly not cater to all nuances commonly found in a real-world scenario. Similarly, AI’s understanding of user requirements might not always align perfectly with the intended functionality, leading to bugs and inefficiencies. Furthermore, the AI might not always follow the best coding practices, resulting in code that is difficult to maintain and scale. This can be especially problematic in large-scale projects where code quality is paramount.
  • Ethical concerns: AI vibe coding can raise ethical and legal questions, especially concerning intellectual property. There might be ambiguity in ownership and copyright of AI-generated code, posing challenges for developers and users. Additionally, using AI in coding can lead to ethical concerns about job displacement and the devaluation of human expertise. It's crucial for developers and organizations to navigate these issues thoughtfully and responsibly, especially when relying on vibe coding practices for large-scale project development.
  • Over-reliance on AI: As AI vibe coding becomes more prevalent, there is a risk of developers becoming overly reliant on AI tools, potentially diminishing their traditional coding skills and understanding. This reliance on AI can lead to a lack of deep technical knowledge, making it difficult for developers to troubleshoot issues or innovate independently. Continuous learning and skill enhancement are essential to maintain a balanced approach to software development.
  • Explainability: While AI vibe coders may eventually even get the job done with vibe coding, they may not always have the skills required to review, debug, or refactor their code due to the lack of traditional software development skillsets, impacting the explainability and ultimately, reliability of code.

Did you know? A major risk of AI vibe coding is the emergence of “slopsquatting,” a new type of supply chain attack where AI-generated code suggests non-existent package names, which attackers can exploit by creating malicious versions — talk about innovating to wreak havoc!

How to vibe code safely

To mitigate the risks associated with AI vibe coding, users should adopt certain best practices. These practices can help ensure the AI-generated code is secure, reliable and ethically sound.

Best practices to vibe code safely include:

  • Learning best practices: Even though AI vibe coding simplifies the development process, users should still familiarize themselves with basic coding principles. This knowledge will help in understanding the AI-generated code and making necessary adjustments. It also enables users to identify potential issues and apply best practices, ensuring the code is robust and maintainable.
  • Implementing security measures: It is crucial to ensure that the AI-generated code adheres to security best practices. As seen in a popular example on X, where a non-technical founder publicly shared his journey to building a web-based application exclusively with vibe coding, a lack of security considerations resulted in cyber threat actors attacking the application, resulting in it being taken down.

Users should incorporate security checks and validations to safeguard their applications against potential threats. Regularly updating and patching the code, conducting security audits and following industry standards can help mitigate security risks.

  • Regular audits and reviews: Conducting regular code reviews can help identify vulnerabilities and improve the overall quality of AI-generated code. Collaborating with experienced developers for feedback and insights is highly beneficial. Peer reviews and collaborative coding sessions can provide valuable perspectives and enhance code quality.
  • Understanding ethical and legal implications: Users should know the ethical and legal ramifications of using AI-generated code. Consulting with legal experts on intellectual property and copyright issues can prevent future complications. Additionally, being informed of ethical guidelines and industry standards can help developers navigate the evolving landscape of AI in coding.
How can blockchain support AI vibe coding?

Blockchain technology has the potential to enhance security, transparency and collaboration in AI vibe coding, complementing existing platforms like GitHub. 

Here’s how it can help:

  • Securing AI-generated code: Blockchain’s decentralized and tamper-resistant design can help verify the integrity of AI-generated code. By recording hashes or proofs of code versions onchain (alongside repositories like GitHub), developers can detect unauthorized changes and maintain a secure, auditable history.
  • Maintaining transparency: While platforms like GitHub track code changes, blockchain can provide an additional transparent, immutable log of modifications and interactions. This makes it easier to trace code evolution and verify its origins, improving accountability in collaborative AI projects.
  • Enhancing collaboration: Blockchain-based systems can offer secure, trustless environments for developers to exchange code, feedback and ideas, complementing centralized platforms like GitHub. Though still emerging, these decentralized approaches have the potential to further strengthen collaboration in AI development.

Apr 28, 2025 05:55

Decoding Crypto Price Manipulation: Uncovering How Cybercriminals Impact the Market

Cryptocurrency Price Manipulation: Unraveling How Cybercriminals Impact the Market Cryptocurrency price manipulation is a serious issue in the digital asset market. Cybercriminals utilize various tactics to influence prices and take advantage of unsuspecting traders. Understanding how these manipulations occur is crucial for investors to protect themselves and make informed decisions. One common method of price [...]

The post Decoding Crypto Price Manipulation: Uncovering How Cybercriminals Impact the Market appeared first on Crypto Breaking News.

How to Make Money With Vibe Coding

Author: Nathaniel Cajuday
Philippines
Apr 25, 2025 02:50

How to Make Money With Vibe Coding

Vibe coding, a term coined by OpenAIs Andrej Karpathy, lets anyonecoder or notbuild apps using AI-generated code. Discover how it works and how crypto users can benefit.

SEC targets Uniswap Labs, raising concerns over open-source code liability

Author: Cointelegraph by Daniel Ramirez-Escudero
United States
Apr 25, 2024 12:00

SEC targets Uniswap Labs, raising concerns over open-source code liability

SEC actions have made developers fearful that their code may end in prosecution. Are smart contracts with immutable code the way to protect themselves?

Mar 18, 2025 05:55

Proposed BITCOIN Act Could Boost US Reserve to Over 1 Million: Decoding the Law

Bitcoin’s Market Capitalization Set to Surpass $1 Million: Legislation Explained As the world of cryptocurrency continues to evolve, recent legislative changes have sparked discussions on the implications for Bitcoin’s market capitalization. The proposed Bitcoin Act aims to set a new milestone by exceeding $1 million, a significant development that could reshape the digital currency landscape. [...]

The post Proposed BITCOIN Act Could Boost US Reserve to Over 1 Million: Decoding the Law appeared first on Crypto Breaking News.

May 27, 2023 02:10

How to learn JavaScript using ChatGPT

Imagine yourself as a future programmer eager to learn JavaScript, one of the most popular languages for web development. If you are looking for an interactive and collaborative way to enhance your understanding of JavaScript concepts and improve your coding skills, ChatGPT, a language model, may help you in this endeavor. One can converse with [...]

The post How to learn JavaScript using ChatGPT appeared first on Crypto Breaking News.

Jun 22, 2023 02:10

5 coding bootcamps for jumpstarting your tech career

Coding bootcamps offer immersive programs in various fields of technology, providing comprehensive training, hands-on projects and career support to help you succeed in the industry. What is a coding bootcamp? A coding bootcamp is a comprehensive training course that gives students the knowledge and abilities they need to become competent software engineers or programmers. Various [...]

The post 5 coding bootcamps for jumpstarting your tech career appeared first on Crypto Breaking News.

How to solve coding problems using ChatGPT?

Author: Cointelegraph By Guneet Kaur
United States
Mar 14, 2023 04:40

How to solve coding problems using ChatGPT?

ChatGPT, the AI language model, can assist in breaking down complex coding problems and finding efficient solutions.

How to improve your coding skills using ChatGPT

Author: Cointelegraph By Guneet Kaur
United States
Feb 01, 2023 04:40

How to improve your coding skills using ChatGPT

ChatGPT can generate code snippets and solutions to coding problems quickly and efficiently. Here’s how.

Nov 26, 2022 12:00

Programming languages prevent mainstream DeFi

Asset-oriented programming makes fundamental functions native to the programming language. DeFi needs more of that to improve security.

Bitcoiner claims to have found 'long lost Satoshi Bitcoin code' with personal notations

Author: Cointelegraph By Turner Wright
United States
Oct 08, 2022 08:20

Bitcoiner claims to have found 'long lost Satoshi Bitcoin code' with personal notations

According to Jim Blasko, he was able to uncover raw data and files from Bitcoin v0.1 including notations from Satoshi Nakamoto using "a little browser hacking."

Sep 03, 2022 07:00

Malaysian Universities to Expand Women’s Blockchain Knowledge Base with Programmers Course


Women in Blockchain Asia (WIBA) has partnered with various Malaysian universities to propel the number of female blockchain developers and coders in Malaysia. (Read More)

Mar 20, 2022 09:20

Creating a TA (technical analysis) crypto trading bot for Binance using Tradingview

Chances are you’ve heard of Technical Analysis (TA) before, and you have probably used it at one point in order to make an informed decision about your trades. Given how number-based most (if not all) TA indicators are, it’s quite easy to integrate technical analyis into a crypto trading bot, especially by using Tradingview and […]

The post Creating a TA (technical analysis) crypto trading bot for Binance using Tradingview appeared first on Automated Cryptocurrency Trading.

Mar 15, 2022 09:30

How to build a basic crypto trading bot in Python – Binance DCA Bot example

In this article we’re going to build upon some of the concepts explained in previous articles, designed to help you understand how to build a crypto trading bot in Python from scratch. This series of articles should also serve as a practical course into learning Python, as you will be picking up core concepts required […]

The post How to build a basic crypto trading bot in Python – Binance DCA Bot example appeared first on Automated Cryptocurrency Trading.

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