Vibe Coding is an early track that clearly has structural increments, diverse scenario diffusion capabilities, and strong platform moat potential. What it drives is not only the evolution of development tools but also a redistribution of construction rights and the inclusive release of creativity.
In the early stages of computer development, programming was a highly abstract and closed behavior. Developers had to directly manipulate assembly language or even binary, inputting programs through punch cards, tapes, or terminal commands, lacking visual interfaces and real-time feedback, making trial and error very costly. Early programming was mainly in the hands of engineers in scientific research or military systems, with ordinary people having little access. In the 1980s, with the popularization of personal computers and the development of high-level languages like BASIC and C, programming gradually took on an enlightening attribute. At that time, learners could self-study to write tool programs or simple animations through command lines and paper tutorials, but building a runnable system still required mastery of underlying knowledge such as memory management and file system operations, with high deployment and propagation thresholds.
Although the LAMP architecture composed of HTML, PHP, and JavaScript subsequently brought a certain degree of democratization to development, and open-source tools like Discuz and WordPress enabled products like forums and blogs to land faster, the entire development process still depended on professional skills and engineering cognition.
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Even in the Web2 and mobile development era, although the modern tech stack is more powerful, the development path is more complex, involving a complete chain from design tools (like Figma) to front-end and back-end frameworks (like React, Node.js), to cloud deployment and third-party service integration, which remains difficult for non-professional users to complete independently.
On the surface, development processes are continuously evolving towards standardization and high efficiency, but the technical threshold has never truly been eliminated. The construction rights remain concentrated in the hands of a few who master the knowledge and tools.
In the AIGC era, the dawn and dilemma of programming coexist.
Generative AI has been widely applied, once again significantly lowering the threshold for programming.
With breakthroughs in semantic understanding, code generation, and contextual retention by large models such as GPT-4, Claude 3, and Gemini, development behavior has shifted for the first time from 'structured understanding' to 'perceptual dialogue.' We see that people can directly communicate their intentions to the system through natural language, allowing AI to generate the required functions, interfaces, components, or even complete pages. Prompts have become the new input method, while system responses have upgraded from suggested snippets to structured, composable results.
AIGC not only improves development efficiency but also breaks down 'language barriers.' More and more non-programmers are beginning to use Copilot-like tools to fill in code, debug logic, write interfaces, and even quickly complete web prototypes or function simulations based on ChatGPT. The potential of AIGC programming is beginning to emerge at this stage: code becomes 'conversational,' and development becomes 'co-created.'
Of course, the first wave of this transformation has also exposed many limitations:
Most generative models are still at the 'fragment generation' level, struggling to understand the full task scope, let alone organize complex project structures across files and modules;
Code output lacks contextual memory capability, and generated results are often not reusable or require substantial manual correction;
There is a lack of connection with the operating environment, and the generated code often cannot be directly deployed, tested, or launched;
AIGC tools are almost entirely designed around 'helping developers write code faster,' rather than serving 'non-coders by empowering them with construction rights.'
Especially in the world of Copilot, developers have become more efficient, but non-developers still cannot enter the game.
Although AIGC programming has significantly improved development efficiency and lowered language barriers, it still primarily revolves around existing developers, and construction capabilities have not truly reached a broader audience. In this context, a new generative paradigm, Vibe Coding, is beginning to emerge, attempting to bypass engineering thresholds and usher in a new round of programming equity paradigms.
Vibe Coding: The next stage of the generative construction paradigm
Vibe Coding is a term that has recently gained popularity in the tech field, regarded as a new trend in AIGC programming, attempting to reconstruct the logical starting point of the entire application construction process. According to IBM's technical interpretation, Vibe Coding is defined as a programming model that uses natural language input as the primary interaction method, where users express development goals through verbal descriptions, and the system assists in generating code, organizing logical structures, and outputting runnable products via large models. This type of system tries to recognize construction intent from the input semantics and transform it into composable, deployable, and testable structural outcomes.
Unlike traditional Copilot-like AI tools, Vibe Coding represents a 'construction rights delivery mechanism' aimed at a broader audience, especially non-engineering background users. Its core is not to make users more knowledgeable about code, but to allow users to fully describe, experiment, publish, and repeatedly iterate their product structures without needing to understand code.
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In fact, this trend has significantly intensified since 2025.
We see that platforms like Cursor have taken the lead in introducing the 'conversational building' concept into IDE systems, supporting natural language control of project structures, generating cross-file code, and running previews instantly. More platforms are beginning to design development processes around the path of 'Prompt to Module to Release,' attempting to create a semantic-driven application creation closed loop.
Beyond technical paths, Vibe Coding also represents a new product organization paradigm: it emphasizes rapid prototype validation, lightweight iteration, high reusability, and distributability, adapting to fragmented application scenarios such as creator economy, community operations, and individual entrepreneurship, becoming an important generation method for the next generation of lightweight Web3 applications or interactive content.
Typical representatives of the Vibe Coding track
As the Vibe Coding trend develops, an increasing number of projects are beginning to explore productization around this paradigm and gradually deriving various paths and solutions.
In this field, projects like Infinity Ground, Ohara AI, and Dev.fun have gradually emerged as representative explorers in the current Vibe Coding track. Next, we will break down the capabilities, user paths, and construction loops of these three types of platforms one by one, and attempt to outline the preliminary map of the Vibe Coding industry.
Image source: https://gradientflow.com/vibe-coding-and-chop-what-you-need-to-know/
It should be noted that tool-type products leaning towards IDE enhancement and localized programming assistants, such as Cursor, Codeium, Windsurf, etc., are mostly embedded in the local programming environments familiar to developers, focusing on optimizing code completion, cross-file generation, context linkage, etc., significantly improving the development efficiency of existing engineers.
However, the core design of such products still focuses on 'enhancing the efficiency of programmers,' rather than 'empowering non-programmers to construct completely.' Their interaction models still rely on code editors and engineering semantics, which means they do not fundamentally change the underlying logic of development and are hard to escape the IDE framework for 'end-to-end' application delivery, also lacking some Web3 characteristics. Based on this, we did not include these platforms in the comparison.
Infinity Ground
Infinity Ground is currently one of the most representative projects in the Vibe Coding track, committed to providing a natural language-driven construction path for non-engineering background users.
The project is positioned as a Web3 construction platform for ordinary creators, content operators, and individual developers, with the core goal of compressing the development process from 'intention to product' into a comprehensible, operable, and deployable closed loop, thereby creating a decentralized 'Web3 App Store.'
One of the main features of the Infinity Ground platform is the fully process natural language-driven approach. In this system, users can describe target functions through prompts, and the system automatically invokes component libraries, logic modules, and page templates, generating complete application content that includes front-end pages, business logic, and on-chain interfaces. The generated results will be encapsulated as accessible links, deployed directly online, without the need for code writing or environment configuration. This new process skips the traditional development dependencies on IDE environments, debugging deployment processes, and back-end on-chain integration processes, significantly lowering the threshold for application construction.
In terms of interaction methods, Infinity Ground introduces the Agentic programming paradigm, supporting rapid generation of functional modules from semantics through mechanisms such as task decomposition, context understanding, and model strategy routing. The platform supports multi-model collaboration (like GPT-4 and Claude), dynamic parameter optimization, structured output, and interpretable result generation, enhancing the control and understandability for non-technical users during the interaction process.
According to user prompts, the application can support wallet connections, permission management, and payment interfaces, featuring complete Web3 usage characteristics. The platform also supports users in distributing applications to communities, social platforms, or other channels in link form, forming an expansion path from construction to usage to propagation. The entire process is self-consistent and complete, allowing users to complete delivery without leaving the platform.
In addition to page construction and interaction configuration, Infinity Ground has also pioneered the semantic generation capability of smart contracts among similar platforms, becoming an important explorer of on-chain logic generation in the context of Vibe Coding. The platform has built-in contract generation and deployment modules, allowing users to complete a series of smart contract generation, packaging, and on-chain operations, including Airdrop and Token creation, simply by describing in natural language, such as 'create a token airdrop with 1000 recipients,' without needing to touch the Solidity programming language or perform local compilation or environment configuration.
To ensure security and contract usability, the pre-set templates in the system all come from a third-party standard contract library that has undergone security audits, encapsulating the necessary parameter configurations and permission control logic. After users input their targets at the semantic level, the platform will invoke the corresponding templates and complete the deployment execution, ensuring that the construction path is both low-threshold and possesses on-chain stability and traceability.
It is worth noting that the platform also provides backend monitoring and data tracking functions for contract behavior, helping users observe on-chain metrics such as call frequency, interaction wallet distribution, and token circulation paths. This combination of 'generable + deployable + operable' integrated capabilities greatly enhances the operability of on-chain logic for non-engineering background users and builds a technical moat for the platform from 'constructible' to 'operable.'
On this basis, Infinity Ground has further established a template library, construction leaderboard, and code Remix system, supporting users to generate secondary creations based on existing templates or upload custom modules, gradually forming a supply-oriented construction network. The platform also introduces blockchain-based template version control, decentralized incentive mechanisms, and contribution revenue distribution paths, allowing users to earn rewards through contributions of templates, improving construction processes, etc., building a production closed loop around AI collaboration and user co-creation.
The platform currently has built-in multiple lightweight Web3 application templates, covering common creative, community-oriented, and transaction-oriented scenarios, including NFT markets, DAO management, on-chain data dashboards, RWA registration forms, and content subscription systems. Users can call, modify, or completely reconstruct structures based on new semantics as needed, with all construction steps completed within the platform, further forming a new chain process from Prompt to module combination to release operation.
It is worth mentioning that the Infinity Ground platform has currently connected over 17.41 million independent wallet addresses, generated more than 136,000 launched applications, forming a relatively significant user scale. Moreover, its user profile primarily covers market operators, NFT and Meme creators, independent product managers, students, and Web3 players. The platform has also incubated representative products including the blockchain game AI Town project (Love Terminal) (which attracted over 58,000 users in its first week) and the on-chain mini-game (Jump Jennie) (which completed over $16,000 in entry fees within two weeks), fully validating the commercial monetization potential of Infinity Ground.
Dev.fun
Dev.fun is a tool-type platform in the Vibe Coding track that emphasizes 'light expression' and 'instant interaction.' It is based on an extremely simple semantic input mechanism, allowing users to quickly generate interactive module pages (called devlet) with initial logic through a single natural language sentence, without programming or configuration. Common applications include voting, mini-games, forms, real-time displays, etc., emphasizing low creation thresholds and short distribution paths.
The platform has a large number of user-generated or Remixed template content built-in, supporting direct generation of access links for community sharing or embedding dissemination, creating a content dissemination path with Meme characteristics. Dev.fun also supports mechanisms such as likes, leaderboards, and creative challenges to encourage expressive creation around hot topics and community discussions.
In positioning, Dev.fun is more like a Meme engine for Web3 community culture. It serves content creators, community operators, and brand expressers, making 'construction as expression' a normalized creation method. By connecting users with lightweight interactive content and amplifying influence, it is one of the more representative expressive platforms in Vibe Coding.
Ohara AI
Ohara AI is one of the representative platforms in the Vibe Coding track focused on 'construction + incentives,' dedicated to building runnable Web3 applications through natural language and automatically issuing exclusive App Coins, supporting incentives, transactions, and community interactions.
The platform provides a modular conversational building experience, where users only need to input requirements, such as 'create a Meme tool that generates GIFs' or 'build a button that supports ETH donations,' and the system can generate a complete application that includes front-end pages, wallet interactions, and on-chain calls. Applications can run instantly, be semantically fine-tuned, and allow users to access the underlying code for secondary editing.
Ohara AI's biggest feature is 'one-click deployment + automatic App Coin generation.' Each application can embed a token incentive mechanism for rewards, distribution, or sales, achieving an economic closed loop between creators and users. The platform also supports Remix construction, facilitating rapid copying, modification, and publishing of applications, promoting community co-creation.
Ohara has built-in OnchainKit SDK, supporting wallet access, on-chain operations, data reading, and can connect to external APIs, such as integrating xAI or real-time content sources to enhance application interactivity. The platform also regularly hosts development challenges to enhance user engagement and content exposure. Currently, Ohara's user base includes creators, entrepreneurs, and Web3 content experimenters, suitable for rapid prototype testing and token mechanism validation, making it an ideal platform for lightweight developers and creative product validators.
The diverse evolutionary paths of Vibe Coding
In fact, the three platforms represent different verticals.
Among them, Infinity Ground centers on the core design concept of 'the generation, deployment, and distribution closed loop of Web3 applications,' constructing a complete end-to-end generation infrastructure around prompt generation, module calls, on-chain deployment, wallet interactions, permission configurations, and application distribution, emphasizing a complete product path from 'creation' to 'usable and disseminable' based on template ecology, operating environments, and deployment support combinations.
Ohara AI leans more towards a 'front-end prototype generation tool.' Its core capability mainly focuses on generating page sketches through natural language descriptions, supporting simple interactions and static display content. Ohara AI's 'generation is display' path is closer to the thinking of Web2 creative tools, also suitable for educational scenarios, creative expression, and other lightweight uses. It is more like a 'starting generator' or 'prototype drafter' in the Vibe Coding track.
Dev.fun's positioning lies between the two, with its target users mainly being Meme creators and on-chain content builders, supporting the generation of visually expressive content pages from textual intents while providing basic wallet connections and data interface calling functions, combining lightweight semantic interactions and template-driven approaches, emphasizing 'quickly creating shareable works,' making it more like a tool-type platform aimed at the creator community.
So if we roughly classify Vibe Coding into two types of paths:
One type will have infrastructure attributes, attempting to reshape the entire process of 'construction-deployment-distribution';
The other type will focus on specific links, aiming for lightweight generation, creative display, or front-end sketches, forming a group of tool-type or Launchpad-type platforms.
Within this framework, Infinity Ground is closer to the former, constructing a complete closed loop around the building process, operational environment, and distribution mechanism. Based on natural language to generate functional structures, it also has built-in on-chain deployment, wallet binding, permission settings, and an application template ecosystem, demonstrating high reusability and scalability. The platform envisions a 'Web3 App Store' and essentially belongs to the infrastructure-type projects within the Vibe Coding track, aiming to serve the creator community and establish a module market.
According to the technical fundamentals of Infinity Ground, it is being categorized as L3+ intelligence level and shows outstanding performance in terms of visibility, Web3 native, composability, and usability, demonstrating the platform's systematic capability in building a complete ecological closed loop.
In terms of functional structure dimensions, further horizontal comparisons can also validate the aforementioned differentiation paths.
As shown in the table below, Infinity Ground supports the generation of multi-page structures, stable wallet connections, real-time on-chain data displays, and AI collaborative generation based on user intent participation, demonstrating strong system combination capabilities and being oriented towards the full chain. While Ohara AI and Dev.fun each have their highlights, they focus more on front-end sketches, creative content generation, and basic on-chain interaction.
In summary, the current Vibe Coding ecosystem has initially formed two evolutionary paths: 'infrastructure-type platforms' and 'tool-type generators.' Infinity Ground, as a representative of the former, demonstrates the advantages of a closed system loop in terms of construction logic, operation path, and ecological organizational capability, while Ohara AI and Dev.fun are more Launchpad-oriented, positioned as entry tools for lightweight construction. This differentiation trend also marks that Vibe Coding is evolving from a single construction tool to a multilayered, multi-role system.
Conclusion
Vibe Coding is in an early stage of simultaneous technical evolution and user cognitive enhancement. As large model capabilities continue to be released and the demand for Web3-native construction continues to grow, 'language as construction' is gradually becoming the mainstream paradigm for the next generation of application development, opening up the underlying entry point of the 'everyone can develop' era.
Based on this, user identities are undergoing structural transformation, extending from programmers to creators, operators, educators, and even individual entrepreneurs. The high-threshold processes that originally belonged to technical experts are being reconstructed into a construction path that is more universal, expressive, and operable. This sinking threshold not only brings a broad user increment space but also significantly expands the potential market size on which this track relies.
Currently, the track exhibits a flourishing state. Whether it is the end-to-end platform products represented by Infinity Ground or the lighter construction tools like Dev.fun and Ohara AI, although their target audiences and functional focuses differ, they are all deeply exploring the core proposition of 'low-threshold construction.' Their relationship is not purely one of homogenous competition, but rather a collaborative expansion of application boundaries, achieving complementary penetration in different verticals.
From an industrial perspective, Vibe Coding possesses typical characteristics of platform-type innovation. Once its underlying logic stabilizes gradually, the module combination capability and ecological scalability will continue to release potential, expected to form a development stack structure similar to an operating system, thereby reshaping the entire cycle path of products from conception to verification, from iteration to launch.
In summary, Vibe Coding is an early track that clearly has structural increments, diverse scenario diffusion capabilities, and strong platform moat potential. What it drives is not only the evolution of development tools but also a redistribution of construction rights and the inclusive release of creativity. In the next 3 to 5 years, with the improvement of the ecosystem and the maturity of user cognition, this field is expected to become one of the most promising long-term opportunity windows at the intersection of AI and Web3.