大型代码库迁移是工程团队的噩梦，Fable 5 把两个月压缩成一天，做后端或基础设施的开发者值得关注——这可能是你未来省下整支团队时间的关键工具。
Anthropic 的 Claude 5 Fable 模型在 Stripe 的 5000 万行 Ruby 代码库迁移任务中表现出色，将原本需要整支团队耗时两个月的工作压缩至一天完成。该模型在长任务和复杂场景下优势显著，效率、上下文管理能力全面升级，且 token 使用更高效。测试显示，任务越长越复杂，Fable 5 与其他模型的差距越大。这一成果标志着 AI 在大型代码库工程任务中的实用价值迈上新台阶。
3/ Stripe 5000 万行代码库迁移。 人工需要整支团队干两个月。 Fable 5，一天完成。 Chubby说：任务越长越复杂，它跟其他模型的差距越大。这不只是跑分，是效率、长任务、上下...
3/ Stripe 5000 万行代码库迁移。 人工需要整支团队干两个月。 Fable 5，一天完成。 Chubby说：任务越长越复杂，它跟其他模型的差距越大。这不只是跑分，是效率、长任务、上下文管理全面升级。 x.com/kimmonismus/st… Chubby♨️ @kimmonismus Claude 5 Fable tl;dr - It is state-of-the-art on nearly all tested benchmarks of AI capability, showing exceptional performance in software engineering, knowledge work, vision, scientific research -The longer and more complex the task, the larger Fable 5’s lead over our other models -its more token-efficient than past Claude models - Fable 5 stays focused across millions of tokens in long-running tasks and improves its outputs using its own notes Fable 5 is more than just better benchmarks. It's more efficient, allows for longer work periods, offers better context management, and so much more. GPT-5.6 is just around the corner. I'm a huge Codex fan, but Fable/Mythos is in a league of its own. I'm curious to see if OpenAI will release its own Mythos. "During early testing, Stripe reported that Fable 5 compressed months of engineering into days. In a 50-million-line Ruby codebase, the model performed a codebase-wide migration in a day that would otherwise have taken a whole team over two months by hand." 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 0 👀 175 📊 1 ⚡