Claude Code Source Code Leaked, Over 500,000 Lines of Code Obtained by Developers

marsbitОпубліковано о 2026-04-01Востаннє оновлено о 2026-04-01

Анотація

Anthropic faces a major security incident as the complete source code for its AI tool Claude Code, exceeding 500,000 lines of TypeScript, was leaked. The breach originated when a developer shared a compressed file on Twitter, which quickly gained over 5.3 million views. The exposure was due to Anthropic accidentally including .map files when publishing to npm, revealing core code. The leaked code unveils several advanced features, including a project codenamed BUDDY, which offers a personalized cyber pet system with traits like debugging power and even a "sarcasm value." Another feature, KAIROS, aims to create an "always-on" AI assistant capable of maintaining memory across sessions and initiating tasks. The code also includes a "Nightly Dreaming" mechanism, allowing Claude to organize information and consolidate core content while the user sleeps. Despite the breach, the incident has inadvertently showcased Anthropic's innovative capabilities, turning a PR crisis into an unexpected demonstration of their cutting-edge AI developments.

Recently, artificial intelligence company Anthropic encountered an unprecedented crisis when the complete source code of its latest tool, Claude Code, was accidentally leaked within the developer community. The incident began when a developer, Chaofan Shou, posted a compressed package containing over 500,000 lines of TypeScript code on Twitter, sparking widespread attention and discussion among developers globally. This leak quickly exploded online, with page views surpassing 5.3 million within hours, becoming a hot topic in the tech circle.

So, what was the cause of this leak? According to reports, when Anthropic published the code to npm, it actually forgot to remove the .map files, leading to the exposure of the core code. This mistake not only embarrassed the company but also raised external doubts about its security management. However, this accidental leak has given the outside world an early glimpse into some of Anthropic's cutting-edge functionalities in the AI field.

From the source code, it can be seen that Claude Code includes several astonishing features, with the project codenamed BUDDY being particularly notable. It can not only accompany developers in writing code but also has a unique personalized pet system, allowing users to incubate their own cyber pets based on personal information. This pet not only has a cute appearance but also has dynamic stats like debugging power and patience, and even a "sarcasm value," undoubtedly adding a lot of fun to the work atmosphere.

Even more forward-looking is the feature codenamed KAIROS, which aims to achieve an "always-on" AI assistant. Unlike traditional conversation methods, KAIROS can maintain memory across multiple sessions and proactively initiate tasks. Additionally, the source code includes a Nightly Dreaming mechanism, where Claude organizes information and consolidates core content while the user sleeps. This innovative concept not only makes the AI smarter but also brings new possibilities for future work methods.

Although Anthropic is currently busy dealing with this leak, the unexpected exposure might also provide a platform to showcase their cutting-edge technology. This accidental PR crisis has instead highlighted the company's innovative capabilities. The future of the AI field will become even more exciting because of such attempts.

Пов'язані питання

QWhat was the cause of the Claude Code source code leak at Anthropic?

AAnthropic forgot to remove .map files when publishing the code to npm, which exposed the core source code.

QHow many lines of TypeScript code were leaked in the Claude Code incident?

AOver five hundred thousand lines of TypeScript code were leaked.

QWhat is the name of the project that features a personalized cyber pet system for developers?

AThe project is called BUDDY, which includes a personalized cyber pet system with traits like debugging power and patience.

QWhat is the KAIROS feature designed to do according to the leaked source code?

AKAIROS is designed to be an 'always-on' AI assistant that maintains memory across multiple sessions and can proactively initiate tasks.

QWhat mechanism does Claude have for processing information during user inactivity?

AClaude has a 'Nightly Dreaming' mechanism where it organizes information and consolidates core content while the user is sleeping.

Пов'язані матеріали

iQiyi Is Too Impatient

The article "iQiyi Is Too Impatient" discusses the controversy surrounding the Chinese streaming platform IQiyi's recent announcement of an "AI Actor Library" during its 2026 World Conference. IQiyi claimed over 100 actors, including well-known names like Zhang Ruoyun and Yu Hewei, had joined the initiative. CEO Gong Yu suggested AI could enable actors to "star in 14 dramas a year instead of 4" and that "live-action filming might become a world cultural heritage." The announcement quickly sparked backlash. Multiple actors named in the list issued urgent statements denying they had signed any AI-related authorization agreements. This forced IQiyi to clarify that inclusion in the library only indicated a willingness to *consider* AI projects, with separate negotiations required for any specific role. The incident, which trended on social media with hashtags like "IQiyi is crazy," is presented as a sign of the company's growing desperation. Facing intense competition from short-video platforms like Douyin and Kuaishou, as well as Bilibili and Xiaohongshu, IQiyi's financial performance has weakened, with revenues declining for two consecutive years. The author argues that IQiyi is "too impatient" to tell a compelling AI story to reassure the market, especially as it pursues a listing on the Hong Kong stock exchange. The piece concludes by outlining three key "AI questions" IQiyi must answer: defining its role as a tool provider versus a content creator, balancing the "coldness" of AI with the human element audiences desire, and properly managing the interests of platforms, actors, and viewers. The core dilemma is that while AI can reduce costs and increase efficiency, it risks creating homogenized, formulaic content and devaluing human performers.

marsbit41 хв тому

iQiyi Is Too Impatient

marsbit41 хв тому

Торгівля

Спот
Ф'ючерси
活动图片