Claude Code's Shocking Origin Exposed: It Evolved from Safety Alignment, Boris: Only 1% Complete

marsbitPublished on 2026-07-07Last updated on 2026-07-07

Abstract

**"Claude Code's Astonishing Origin Revealed: Born from Safety Alignment, with Only 1% Done"** This article traces the epic development of Claude Code, Anthropic's groundbreaking AI coding assistant. Its origins are surprisingly rooted in an internal safety alignment (Alignment) project. The journey began in 2021 with early prototypes like a VS Code extension, but the project was nearly forgotten due to immense infrastructure challenges in creating a true "agentic" coder. Key breakthroughs came from research teams focused on autonomous software engineering, developing core components like bash tools and code search. An internal CLI tool named "clide" emerged but was too超前 (ahead of its time), being clunky and slow. The project's fate changed in September 2024 when Boris Cherny joined. Tasked with "agentic coding," he built a simple CLI prototype. A pivotal moment occurred when he used `clide` to generate a complete pull request from an issue description, revealing the assembled potential of earlier research. A small team then executed a furious two-week sprint to build the core product. Launched in February 2025 as Claude Code, initial feedback was mixed. However, with the release of the Claude 3.5 Sonnet model, its capabilities skyrocketed, fundamentally altering software development workflows in Silicon Valley. Notably, Boris Cherny himself reached a point where 100% of his coding was done silently by Claude Code in the terminal. Despite its transformative impact, Bori...

【Introduction】From Ben Mann leading his team to build an early VS Code extension in 2021, to Boris Cherny's frenetic iterations in 2024, to the groundbreaking arrival of Claude Code in 2025 which fundamentally changed how Silicon Valley operates — the entire story is an epic. Yet, the father of Claude Code says: "We've only completed 1%."

Claude Code is only 1% complete!

Anthropic's core developer Boris Cherny reveals the extremely counterintuitive origin of Claude Code: Claude Code evolved from an internal safety alignment (Alignment) project at Anthropic.

And the most exciting part lies in the second half:

There's still so much to do. We've only completed 1%.

Because 1% space means 99% of the future is still completely blank.

At the same time, Claude officially reveals the origin history of Claude Code for the first time:

Anthropic's official page "The Making of Claude Code" goes live simultaneously.

Portal: https://www.anthropic.com/features/making-of-claude-code

Claude Code Was Almost Completely Forgotten

The story begins in 2021.

Anthropic co-founder and Labs team lead Ben Mann recalls:

When we founded Anthropic and ultimately decided to build a product — which was itself a controversial decision at the time — the first thing we did was build a programming assistant.

Research engineer Dawn Drain had just joined Anthropic. Her main project was: make the model's coding ability at least as good as my own.

During the same period, Shauna Kravec's reinforcement learning team was already thinking more radically — autonomous software engineering. They didn't want to build a chatbot; they wanted the model to actually "do work".

Why coding? Shauna's answer remains stunning to this day:

We believed the path to transformative AI had to go through automating large-scale software engineering work.

By early 2022, they were already using RL to train models to write simple functions and then test their correctness.

The result: the initial models performed very poorly.

Meanwhile, Ben Mann's team built a VS Code extension — an early coding assistant. It could provide four different suggestions. By spring 2022, this tool already had about 100 external users.

But then, reality hit them hard.

The infrastructure nightmare emerged.

To do real agentic coding, you need the model to execute code in a safe environment, read/write files, handle timeouts, handle failures...

These problems are almost identical to the agent problems everyone is still grappling with today.

Dawn and her colleagues spent a long time just getting the model to have a persistent shell in a container, stream input/output, and gracefully handle timeouts.

Then, Ben Mann returned from paternity leave to find that everyone had "basically forgotten about the coding assistant".

The research side never stopped, however.

They continued to refine the core components of agentic coding: function calling, search, bash tool... Capabilities that seem obvious today were hard-fought battles back then.

Anthropic Was "Embarrassingly Ahead of Its Time"

From late 2022 into 2023, Shauna's team achieved a key breakthrough: they gave the model a bash tool, allowing it to search freely within codebases.

Dawn Drain spent an "embarrassingly long time" teaching Claude to write diffs.

Eventually, they built an internal command-line tool called clide.

It let you chat with Claude to edit code and complete development tasks.

Ben Mann said: "I loved it. It was really cool, but it could be so much better."

The problem: it was too ahead of its time. Sid Bidasaria later recalled: "Everyone talked about clide, but it was clunky and slow."

Claude Code's first engineer, Adam Wolff, added primitive agentic capabilities to it — it could infer user intent from partial changes.

When it first succeeded, he "danced in the kitchen".

But clide remained a research-side toy.

It was too fragile, too slow, too unstable.

Until September 2024, when a new person walked into the Labs team.

Claude Code Soars

In September 2024, Boris Cherny joined Anthropic Labs.

Ben Mann gave him the task of "agentic coding", advising him to "build not for today's models, but for models six months from now".

He wasn't directly assigned to build a coding product. Instead, he first familiarized himself with the Anthropic API, quickly building a minimal CLI prototype in just two days.

In the demo, it could screenshot Apple Music and tell you what song was playing.

He posted it on Slack and only got two or three likes.

No one understood it. Not even he fully understood it.

But Boris couldn't stop. Friends asked him to hang out; he refused. He locked himself in at home on weekends, continuously working on this thing.

One day, he wrote a pull request. Adam rejected it, telling him to try using clide.

Boris copy-pasted the issue into clide, and it directly wrote the complete five-to-ten-line PR.

Boris later recalled:

I had never seen anything like it. It was mind-blowing. It felt like the future.

Ben Mann said Boris's expression at that moment was "Holy shit".

They had all the pieces; they just needed to put them together.

In December, the Labs team finally gave the project the green light.

The tiny team, originally just Boris, Sid Bidasaria, and Ben, suddenly swelled with six or seven more people.

They began a final two-week sprint.

In those two weeks, almost all core features were completed: bug reporting, login flow, auto-updates, excellent usage metrics...

No PR limits, no review processes, fixes could go live within five minutes.

From 10% to 100%, and the "1%" That's Only Completed

In February 2025, Claude CLI was released to the public, officially renamed Claude Code.

The all-caps ASCII character Claude Code logo became an iconic design for AI programming.

Early feedback wasn't enthusiastic. Many felt "the idea is cool, but too buggy".

But the models were improving. When the Claude 4 series models were released, everything changed.

Boris Cherny sat in the back row at the Code with Claude conference. When Sonnet 4 was announced, he looked down at his coding and suddenly realized:

"Wow, this really got stronger."

This fundamentally changed how Silicon Valley operated: Ramp's Head of Technology was completely conquered in five minutes; Bun's founder used it to instantly decipher complex network protocol code.

By the winter of 2025, a new, irreversible world had arrived.

Boris Cherny, the once all-nighter-pulling head of Claude Code, found that he no longer needed to write a single line of code by hand — 100% of his work was silently completed by Claude Code in the background terminal.

He even used Claude Code to code for an entire day, submitted 88 times, with his wife and dog simply accompanying him on the couch, relaxed and comfortable.

Cat Wu said what moved her most was the change in permission requests:

When it first launched, everyone would carefully read every permission request. Now, a large portion of users just auto-accept.

Trust is being built.

And Boris is still saying that line — we've only completed 1%.

Because true long-horizon autonomy, persistent memory, complex context management, open-world planning... these capabilities are still far from arrival.

The role of human engineers is leaping from "code architects" to "AI administrators".

Programming is no longer an obscure geek privilege, and this is just the beginning of AI agents stepping into the real world to solve humanity's ultimate challenges.

Reference: https://www.anthropic.com/features/making-of-claude-code

This article is from the WeChat public account "New Zhiyuan", author: ASI Apocalypse; Editor: David

Trending Cryptos

Related Questions

QAccording to the article, what was the surprising origin of Claude Code?

AClaude Code originated from Anthropic's internal safety alignment (Alignment) project, which is a counter-intuitive origin story as revealed by its core developer Boris Cherny.

QWho led the early team that built the initial VS Code extension mentioned in the article?

ABen Mann, an Anthropic co-founder and head of the Labs team, led the team that built the early VS Code extension coding assistant.

QWhat was the name of the internal command-line tool built by Anthropic researchers, and what was its purpose?

AThe internal command-line tool was called 'clide'. Its purpose was to allow users to chat with Claude to edit code and complete development tasks, representing an early form of agentic coding.

QWhat key event in 2024 marked a major turning point for the project that would become Claude Code?

AThe key event was Boris Cherny joining Anthropic Labs in September 2024. He was tasked with 'agentic coding' and his rapid prototyping and subsequent discovery of clide's potential (like writing full pull requests) galvanized the team, leading to the final development sprint.

QWhy does Boris Cherny state that Claude Code has only 'completed 1%' of its potential?

AHe states this because, despite its current success, fundamental capabilities for true long-term autonomy, persistent memory, complex context management, and open-world planning are far from being realized. The remaining 99% represents a vast, unexplored future for AI agents.

Related Reads

Trading

Spot

Hot Articles

What is SONIC

Sonic: Pioneering the Future of Gaming in Web3 Introduction to Sonic In the ever-evolving landscape of Web3, the gaming industry stands out as one of the most dynamic and promising sectors. At the forefront of this revolution is Sonic, a project designed to amplify the gaming ecosystem on the Solana blockchain. Leveraging cutting-edge technology, Sonic aims to deliver an unparalleled gaming experience by efficiently processing millions of requests per second, ensuring that players enjoy seamless gameplay while maintaining low transaction costs. This article delves into the intricate details of Sonic, exploring its creators, funding sources, operational mechanics, and the timeline of significant events that have shaped its journey. What is Sonic? Sonic is an innovative layer-2 network that operates atop the Solana blockchain, specifically tailored to enhance the existing Solana gaming ecosystem. It accomplishes this through a customised, VM-agnostic game engine paired with a HyperGrid interpreter, facilitating sovereign game economies that roll up back to the Solana platform. The primary goals of Sonic include: Enhanced Gaming Experiences: Sonic is committed to offering lightning-fast on-chain gameplay, allowing players and developers to engage with games at previously unattainable speeds. Atomic Interoperability: This feature enables transactions to be executed within Sonic without the need to redeploy Solana programmes and accounts. This makes the process more efficient and directly benefits from Solana Layer1 services and liquidity. Seamless Deployment: Sonic allows developers to write for Ethereum Virtual Machine (EVM) based systems and execute them on Solana’s SVM infrastructure. This interoperability is crucial for attracting a broader range of dApps and decentralised applications to the platform. Support for Developers: By offering native composable gaming primitives and extensible data types - dining within the Entity-Component-System (ECS) framework - game creators can craft intricate business logic with ease. Overall, Sonic's unique approach not only caters to players but also provides an accessible and low-cost environment for developers to innovate and thrive. Creator of Sonic The information regarding the creator of Sonic is somewhat ambiguous. However, it is known that Sonic's SVM is owned by the company Mirror World. The absence of detailed information about the individuals behind Sonic reflects a common trend in several Web3 projects, where collective efforts and partnerships often overshadow individual contributions. Investors of Sonic Sonic has garnered considerable attention and support from various investors within the crypto and gaming sectors. Notably, the project raised an impressive $12 million during its Series A funding round. The round was led by BITKRAFT Ventures, with other notable investors including Galaxy, Okx Ventures, Interactive, Big Brain Holdings, and Mirana. This financial backing signifies the confidence that investment foundations have in Sonic’s potential to revolutionise the Web3 gaming landscape, further validating its innovative approaches and technologies. How Does Sonic Work? Sonic utilises the HyperGrid framework, a sophisticated parallel processing mechanism that enhances its scalability and customisability. Here are the core features that set Sonic apart: Lightning Speed at Low Costs: Sonic offers one of the fastest on-chain gaming experiences compared to other Layer-1 solutions, powered by the scalability of Solana’s virtual machine (SVM). Atomic Interoperability: Sonic enables transaction execution without redeployment of Solana programmes and accounts, effectively streamlining the interaction between users and the blockchain. EVM Compatibility: Developers can effortlessly migrate decentralised applications from EVM chains to the Solana environment using Sonic’s HyperGrid interpreter, increasing the accessibility and integration of various dApps. Ecosystem Support for Developers: By exposing native composable gaming primitives, Sonic facilitates a sandbox-like environment where developers can experiment and implement business logic, greatly enhancing the overall development experience. Monetisation Infrastructure: Sonic natively supports growth and monetisation efforts, providing frameworks for traffic generation, payments, and settlements, thereby ensuring that gaming projects are not only viable but also sustainable financially. Timeline of Sonic The evolution of Sonic has been marked by several key milestones. Below is a brief timeline highlighting critical events in the project's history: 2022: The Sonic cryptocurrency was officially launched, marking the beginning of its journey in the Web3 gaming arena. 2024: June: Sonic SVM successfully raised $12 million in a Series A funding round. This investment allowed Sonic to further develop its platform and expand its offerings. August: The launch of the Sonic Odyssey testnet provided users with the first opportunity to engage with the platform, offering interactive activities such as collecting rings—a nod to gaming nostalgia. October: SonicX, an innovative crypto game integrated with Solana, made its debut on TikTok, capturing the attention of over 120,000 users within a short span. This integration illustrated Sonic’s commitment to reaching a broader, global audience and showcased the potential of blockchain gaming. Key Points Sonic SVM is a revolutionary layer-2 network on Solana explicitly designed to enhance the GameFi landscape, demonstrating great potential for future development. HyperGrid Framework empowers Sonic by introducing horizontal scaling capabilities, ensuring that the network can handle the demands of Web3 gaming. Integration with Social Platforms: The successful launch of SonicX on TikTok displays Sonic’s strategy to leverage social media platforms to engage users, exponentially increasing the exposure and reach of its projects. Investment Confidence: The substantial funding from BITKRAFT Ventures, among others, emphasizes the robust backing Sonic has, paving the way for its ambitious future. In conclusion, Sonic encapsulates the essence of Web3 gaming innovation, striking a balance between cutting-edge technology, developer-centric tools, and community engagement. As the project continues to evolve, it is poised to redefine the gaming landscape, making it a notable entity for gamers and developers alike. As Sonic moves forward, it will undoubtedly attract greater interest and participation, solidifying its place within the broader narrative of blockchain gaming.

1.8k Total ViewsPublished 2024.04.04Updated 2024.12.03

What is SONIC

What is $S$

Understanding SPERO: A Comprehensive Overview Introduction to SPERO As the landscape of innovation continues to evolve, the emergence of web3 technologies and cryptocurrency projects plays a pivotal role in shaping the digital future. One project that has garnered attention in this dynamic field is SPERO, denoted as SPERO,$$s$. This article aims to gather and present detailed information about SPERO, to help enthusiasts and investors understand its foundations, objectives, and innovations within the web3 and crypto domains. What is SPERO,$$s$? SPERO,$$s$ is a unique project within the crypto space that seeks to leverage the principles of decentralisation and blockchain technology to create an ecosystem that promotes engagement, utility, and financial inclusion. The project is tailored to facilitate peer-to-peer interactions in new ways, providing users with innovative financial solutions and services. At its core, SPERO,$$s$ aims to empower individuals by providing tools and platforms that enhance user experience in the cryptocurrency space. This includes enabling more flexible transaction methods, fostering community-driven initiatives, and creating pathways for financial opportunities through decentralised applications (dApps). The underlying vision of SPERO,$$s$ revolves around inclusiveness, aiming to bridge gaps within traditional finance while harnessing the benefits of blockchain technology. Who is the Creator of SPERO,$$s$? The identity of the creator of SPERO,$$s$ remains somewhat obscure, as there are limited publicly available resources providing detailed background information on its founder(s). This lack of transparency can stem from the project's commitment to decentralisation—an ethos that many web3 projects share, prioritising collective contributions over individual recognition. By centring discussions around the community and its collective goals, SPERO,$$s$ embodies the essence of empowerment without singling out specific individuals. As such, understanding the ethos and mission of SPERO remains more important than identifying a singular creator. Who are the Investors of SPERO,$$s$? SPERO,$$s$ is supported by a diverse array of investors ranging from venture capitalists to angel investors dedicated to fostering innovation in the crypto sector. The focus of these investors generally aligns with SPERO's mission—prioritising projects that promise societal technological advancement, financial inclusivity, and decentralised governance. These investor foundations are typically interested in projects that not only offer innovative products but also contribute positively to the blockchain community and its ecosystems. The backing from these investors reinforces SPERO,$$s$ as a noteworthy contender in the rapidly evolving domain of crypto projects. How Does SPERO,$$s$ Work? SPERO,$$s$ employs a multi-faceted framework that distinguishes it from conventional cryptocurrency projects. Here are some of the key features that underline its uniqueness and innovation: Decentralised Governance: SPERO,$$s$ integrates decentralised governance models, empowering users to participate actively in decision-making processes regarding the project’s future. This approach fosters a sense of ownership and accountability among community members. Token Utility: SPERO,$$s$ utilises its own cryptocurrency token, designed to serve various functions within the ecosystem. These tokens enable transactions, rewards, and the facilitation of services offered on the platform, enhancing overall engagement and utility. Layered Architecture: The technical architecture of SPERO,$$s$ supports modularity and scalability, allowing for seamless integration of additional features and applications as the project evolves. This adaptability is paramount for sustaining relevance in the ever-changing crypto landscape. Community Engagement: The project emphasises community-driven initiatives, employing mechanisms that incentivise collaboration and feedback. By nurturing a strong community, SPERO,$$s$ can better address user needs and adapt to market trends. Focus on Inclusion: By offering low transaction fees and user-friendly interfaces, SPERO,$$s$ aims to attract a diverse user base, including individuals who may not previously have engaged in the crypto space. This commitment to inclusion aligns with its overarching mission of empowerment through accessibility. Timeline of SPERO,$$s$ Understanding a project's history provides crucial insights into its development trajectory and milestones. Below is a suggested timeline mapping significant events in the evolution of SPERO,$$s$: Conceptualisation and Ideation Phase: The initial ideas forming the basis of SPERO,$$s$ were conceived, aligning closely with the principles of decentralisation and community focus within the blockchain industry. Launch of Project Whitepaper: Following the conceptual phase, a comprehensive whitepaper detailing the vision, goals, and technological infrastructure of SPERO,$$s$ was released to garner community interest and feedback. Community Building and Early Engagements: Active outreach efforts were made to build a community of early adopters and potential investors, facilitating discussions around the project’s goals and garnering support. Token Generation Event: SPERO,$$s$ conducted a token generation event (TGE) to distribute its native tokens to early supporters and establish initial liquidity within the ecosystem. Launch of Initial dApp: The first decentralised application (dApp) associated with SPERO,$$s$ went live, allowing users to engage with the platform's core functionalities. Ongoing Development and Partnerships: Continuous updates and enhancements to the project's offerings, including strategic partnerships with other players in the blockchain space, have shaped SPERO,$$s$ into a competitive and evolving player in the crypto market. Conclusion SPERO,$$s$ stands as a testament to the potential of web3 and cryptocurrency to revolutionise financial systems and empower individuals. With a commitment to decentralised governance, community engagement, and innovatively designed functionalities, it paves the way toward a more inclusive financial landscape. As with any investment in the rapidly evolving crypto space, potential investors and users are encouraged to research thoroughly and engage thoughtfully with the ongoing developments within SPERO,$$s$. The project showcases the innovative spirit of the crypto industry, inviting further exploration into its myriad possibilities. While the journey of SPERO,$$s$ is still unfolding, its foundational principles may indeed influence the future of how we interact with technology, finance, and each other in interconnected digital ecosystems.

99 Total ViewsPublished 2024.12.17Updated 2024.12.17

What is $S$

What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

767 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片