Show HN:可复用代码块的可视化组装 IDE
许多经验丰富的开发者都认为,在构建产品时,身份验证、支付、后台管理等模块是痛点。Tetrees 如同游戏《俄罗斯方块》一般,允许你将可复用的代码块进行组装,甚至可让 AI 代理帮你完成组装。IDE 内目前已有 500 多个代码块产品(部分付费,大部分免费)。匿名 PR 推入恶意代码的风险通过市场 KYC 验证来管控,确保即使是免费产品也能追溯到具体卖家、点赞数和评价。注册后即可免费获得 400K tokens,欢迎使用并提供改进建议。
许多经验丰富的开发者都认为,在构建产品时,身份验证、支付、后台管理等模块是痛点。Tetrees 如同游戏《俄罗斯方块》一般,允许你将可复用的代码块进行组装,甚至可让 AI 代理帮你完成组装。IDE 内目前已有 500 多个代码块产品(部分付费,大部分免费)。匿名 PR 推入恶意代码的风险通过市场 KYC 验证来管控,确保即使是免费产品也能追溯到具体卖家、点赞数和评价。注册后即可免费获得 400K tokens,欢迎使用并提供改进建议。
Max Weinbach says he had early access to OpenAI's new model GPT-5.6 Sol, calling it his favorite model by far. He highlights that it never gives up and will keep reasoning until it's done. OpenAI announced that GPT-5.6 Sol, along with Terra and Luna, will launch publicly on Thursday, with preview access expanding globally now.
The US government ordered Anthropic to suspend access to its Fable 5 and Mythos 5 models for all customers, citing a potential jailbreak technique that involved asking the model to review a codebase for vulnerabilities—a capability Anthropic says is available in other public models. Access was abruptly cut off on June 12.
Andrej Karpathy announces the release of Claude Fable 5, the same underlying model as Mythos but with added safeguards. He calls it a major step forward, particularly for long problem-solving sessions on difficult tasks, and describes it as state-of-the-art on nearly all benchmarks with exceptional performance in software engineering, research, and vision.
Roman Storm warns that the legal theory in his case could set a precedent making open-source developers liable for how others use their code, potentially criminalizing the mere publication of privacy, messaging, or crypto tools. He notes that developer Michael Lewellen cannot publish lawful code due to prosecution fears, and argues this chilling effect extends beyond any single case.
Meta's engineering culture is deteriorating under Mark Zuckerberg and Scale AI CEO Alexandr Wang, who have introduced keyboard tracking, reassignments to data labeling, and AI-centric performance metrics. Critics argue this incentivizes performative AI use, drives away experienced engineers, and contributed to a major Instagram hijacking incident caused by AI-written and AI-reviewed code.