Sui Partners with Alibaba Cloud to Launch AI Assistant for Move Developers

TheCryptoTimesPublished on 2025-08-27Last updated on 2025-08-27

Sui has teamed up with Alibaba Cloud to release an AI coding assistant for Sui Move developers. The AI assistant supports English, Chinese, and Korean languages, giving developers around the world easier access to the platform. This follows the recent trend of AI assistants being built to help developers write code and develop faster and more efficiently with the help of LLMs.

The assistant is integrated into ChainIDE, Sui’s main development platform. Developers can write Move code more easily using clear instructions. The tool helps developers finish code faster with suggestions, error checks, ready-made templates, and easy-to-use documentation.

Sui’s programming language is known for its speed and reliability. With this update, it becomes easier to use and more multilingual. “Move is already a powerhouse. With Alibaba Cloud’s AI coding assistant in ChainIDE, it’s also multilingual, secure, and lightning fast to ship,” Sui Network said in a post on X.

https://twitter.com/SuiNetwork/status/1960493564871500294

The partnership aims to lower barriers for new developers and encourage faster innovation. Analysts say the tool could attract more developers to Sui, strengthening its smart contract ecosystem. 

“Now you can generate Move code using natural language, get intelligent autocompletion and real-time security checks, and automatically generate documentation and use ready-made templates,” Sui Network said on X.

Enabling Smoother Operations

ChainIDE users can now follow a smoother workflow. The tool takes care of repetitive coding, checks for errors, and keeps best practices in place. Developers can spend more time on creative work and solving challenging problems instead of routine tasks.

The partnership shows a trend in blockchain development toward simpler and safer coding practices. The tool could help more developers use Sui Move by making coding faster and safer. 

Faster development can also help release smart contracts sooner and support the creation of new applications.

Also Read: Trump Media, Crypto.com, and Yorkville Launches $6.42B CRO Treasury



Trending Cryptos

Related Reads

Lao Huang: Prompt is Dead, the Entire AI Community is Frenziedly Chasing Loops

The article "Prompt is Dead: The AI Industry is Obsessively Chasing Loops" discusses a major shift in AI development, where "Loop Engineering" is replacing traditional prompt engineering. Industry leaders like NVIDIA's Jensen Huang, Andrew Ng, and engineers from Anthropic and OpenAI argue that manually crafting prompts is becoming obsolete. Instead, the new focus is on designing autonomous, self-improving AI systems (loops) that can operate 24/7. A loop system typically involves five key phases: Discovery (finding tasks), Handoff (assigning to agents), Validation (critical independent review), Persistence (saving progress), and Scheduling (automated operation). The core idea is to move humans from being the operational "engine" to being the system "architects" who design the loop, define goals, and set up verification mechanisms. A major challenge and necessity is implementing robust, independent validation to prevent AI from uncritically approving its own work. The trend is seen as part of a move towards "inference-time compute," where allocating computational budget effectively becomes a key engineering skill. While loops can produce higher-quality outputs, they are more expensive and time-consuming than simple prompting. The article warns of risks like "verification debt," "comprehension corrosion," and "cognitive surrender," where engineers might stop understanding the code their systems generate. Ultimately, the article concludes that in an era of automated loops, human judgment and oversight remain the most critical and scarce resources.

marsbit4m ago

Lao Huang: Prompt is Dead, the Entire AI Community is Frenziedly Chasing Loops

marsbit4m ago

Anthropic's Latest Report Reveals Global Workers' Patterns: Seeking Sleep at 5 AM, Asking for Recipes at 6 PM

A new report from Anthropic analyzes millions of hourly user interactions with Claude AI, revealing detailed patterns in daily life and work. The data shows distinct rhythms: people most frequently ask about sleep help around 5 AM, seek news at 7 AM, and search for dinner recipes at 6 PM—the day's single largest query spike. Usage sharply diverges between weekdays and weekends. Workdays are dominated by professional tasks like business emails and coding (backend, APIs). Weekends see a surge in personal use—nearly 50% of conversations—focused on emotional support, creative writing (especially fan fiction), medical advice, and side projects like AI agent design or game development. Weekend "entrepreneurial" queries peak globally, while job-hunting activity drops. The report introduces "artifact" analysis, finding 93% of conversations produce a tangible output (explanation, document, code, etc.). Blog posts are 81% work-related, while creative writing is over 80% personal. High-wage professionals (e.g., marketing managers, programmers) use Claude more intensively outside work hours, with longer conversations, more tokens consumed, and greater use of deep thinking features compared to lower-wage roles. Interestingly, Claude's responses typically register at a higher reading level than user prompts (by about one educational year on average), except for audience-focused writing like emails or blogs where the gap nearly disappears. The data also captures specific cultural moments, like an 8x spike in tax-related queries on the U.S. filing deadline. Precise hourly data transforms fragmented queries into a collective diary of modern life—mapping not just economic activity, but also cycles of anxiety, creativity, and daily rhythm, with AI acting as both a productivity tool and an intimate, always-available confidant.

marsbit21m ago

Anthropic's Latest Report Reveals Global Workers' Patterns: Seeking Sleep at 5 AM, Asking for Recipes at 6 PM

marsbit21m ago

Margin Exhausted, "Brother Huang Li Cheng" Begins Selling Monkeys at a Loss

Taiwanese crypto whale "Machi Big Brother" Jeffrey Huang has been forced to sell his prized Bored Ape Yacht Club (BAYC) NFTs at significant losses to cover mounting losses from a highly leveraged ETH long position on Hyperliquid. Over the past month, Huang sold 34 BAYC NFTs for 326 ETH (approx. $514,000), realizing a loss of 399 ETH (approx. $631,000). The proceeds were transferred to Hyperliquid to replenish margin for his perpetual contract trades. One ape, BAYC #6057, bought for 76.84 ETH four years ago, was sold for just 7.65 ETH, a 90% loss in ETH terms. Huang began his high-leverage (25-40x) ETH long strategy in September 2025 when ETH was around $4,700. While his account once showed over $45 million in unrealized profit, the subsequent crash of ETH to the $1,600 range erased all gains. As of June 26, his cumulative losses on Hyperliquid reached $33.85 million, with over 335 liquidations earning him the community nickname "King of Liquidations." With conventional funds depleted, Huang's once-valuable NFT collection, which at its peak included around 200 BAYCs and was worth tens of millions, has become a lifeline. His remaining ~150 BAYCs, valued at roughly $1.6 million at current floor prices, provide only limited runway for his persistent high-stakes trading. Huang rose to prominence in crypto as a key figure in popularizing BAYC NFTs in Asia during the 2021 bull market. His pivot to perpetual contracts has now led to a cycle where his iconic "monkeys" are being sold to fund a failing trading strategy.

Foresight News1h ago

Margin Exhausted, "Brother Huang Li Cheng" Begins Selling Monkeys at a Loss

Foresight News1h ago

Trading

Spot

Hot Articles

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 AI (AI) are presented below.

活动图片