{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-08-11T09:21:12.743Z","headline":"Meta AI 发布 Muse Code：由 Muse Spark 1.2 驱动的终端编码智能体","description":"Meta AI 发布终端编码智能体 Muse Code（测试版），由新模型 Muse Spark 1.2 驱动，面向大型代码库的复杂软件工程，可规划变更、编写代码并验证结果。","url":"https://www.aioga.com/news/cmsgitd3a075oro5qa2aqtbp1/","mainEntityOfPage":"https://www.aioga.com/news/cmsgitd3a075oro5qa2aqtbp1/","datePublished":"2026-08-05T20:07:32.000Z","dateModified":"2026-08-05T20:07:32.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.marktechpost.com/2026/08/05/meta-superintelligence-labs-releases-muse-code","https://aihot.virxact.com/items/cmsgitd3a075oro5qa2aqtbp1"],"canonicalUrl":"https://www.aioga.com/news/cmsgitd3a075oro5qa2aqtbp1/","directAnswer":{"@type":"Answer","text":"Meta AI 发布测试版终端编码智能体 Muse Code，由 Muse Spark 1.2 驱动，面向大型代码库的软件工程任务，可规划变更、编写代码并验证结果。","url":"https://www.aioga.com/news/cmsgitd3a075oro5qa2aqtbp1/","dateCreated":"2026-08-05T20:07:32.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"marktechpost.com source article","url":"https://www.marktechpost.com/2026/08/05/meta-superintelligence-labs-releases-muse-code","datePublished":"2026-08-05T20:07:32.000Z","provider":{"@type":"Organization","name":"marktechpost.com","url":"https://www.marktechpost.com/2026/08/05/meta-superintelligence-labs-releases-muse-code"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmsgitd3a075oro5qa2aqtbp1","datePublished":"2026-08-05T20:07:32.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmsgitd3a075oro5qa2aqtbp1"}}],"aggregationSource":"MarkTechPost（RSS）","originalPublisher":{"name":"marktechpost.com","url":"https://www.marktechpost.com/2026/08/05/meta-superintelligence-labs-releases-muse-code"},"geoDeepAnswer":null,"article":{"id":"cmsgitd3a075oro5qa2aqtbp1","slug":"cmsgitd3a075oro5qa2aqtbp1","url":"https://www.aioga.com/news/cmsgitd3a075oro5qa2aqtbp1/","title":"Meta AI 发布 Muse Code：由 Muse Spark 1.2 驱动的终端编码智能体","title_en":"Meta AI Releases Muse Code： A Terminal Coding Agent Powered by the New Muse Spark 1.2 Model","summary":"Meta AI 发布终端编码智能体 Muse Code（测试版），由新模型 Muse Spark 1.2 驱动，面向大型代码库的复杂软件工程，可规划变更、编写代码并验证结果。","source":"MarkTechPost（RSS）","sourceUrl":"https://www.marktechpost.com/2026/08/05/meta-superintelligence-labs-releases-muse-code","aiHotUrl":"https://aihot.virxact.com/items/cmsgitd3a075oro5qa2aqtbp1","publishedAt":"2026-08-05T20:07:32.000Z","category":"模型更新","score":59,"selected":false,"articleBody":["Meta AI has released Muse Code (in beta), a terminal coding agent in beta, powered by its new Muse Spark 1.2 model：https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2 . Meta positions the pair as its next step toward the frontier, with larger models on the way. Muse Code targets complex software engineering across large repositories: it plans changes, writes code, and validates the results. A set of async background agents stays alive for the whole session instead of spawning per task. A local append-only event log records every model call, tool run, approval, and edit, which Meta calls replay-exact and restart-safe. Muse Spark 1.2 was co-trained with the harness itself. Meta also published a kernel-optimization case study running 1,000+ tool calls over as long as 24 hours.","Yes. Muse Code：https://developer.meta.com/ai/products/muse-code ships in beta for macOS and Linux via curl -fsSL https://dev.meta.ai/install.sh | bash . Muse Spark 1.2 is available in Muse Code and the Meta Model API：https://developer.meta.com/ai/, with expanded global access. The launch post does not mention downloadable weights, so treat this as a hosted dependency.","Muse Code runs a simple agent loop plus a set of async background agents. These specialized agents remain active throughout each session. They are not spawned for individual tasks, which Meta says avoids redundant information gathering. They carry out next steps and choose when to report back to the main agent. Meta states this persistence reduces latency and steering on difficult, multi-step tasks.","Muse Code uses a local event log. Every model call, tool run, approval, and edit is appended to it. Meta calls this single source of truth replay-exact and restart-safe. After a crash, the agent resumes precisely where it stopped, letting long-running tasks survive failures.","Three default skills ship with the agent. /plan turns a task into an approval-gated plan. /grill stress-tests that plan until it holds up. /goal works toward successful completion of the specified objective.","Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1：https://research.meta.ai/blog/introducing-muse-spark-meta-model-api. Meta reports gains in code generation, complex debugging, codebase understanding, and end-to-end developer workflows. The research team significantly scaled up training compute on coding tasks and expanded environment diversity. The model keeps its strength in other areas, including general agents.","Meta’s methodology report：https://research.meta.ai/static/muse-spark-1-2-methodology is unusually specific. Terminal-Bench 2.1 uses all 89 tasks, pass@1 over five attempts. DeepSWE v1.1 covers 113 tasks across 91 repositories and five languages. Meta Internal Coding Bench holds 440 tasks derived from real internal pull requests. Runs execute in isolated Daytona cloud sandboxes. Comparisons include Grok 4.5, Claude Opus 5, GPT-5.6 Terra, Gemini 3.6 Flash, and Kimi K3, each with its own agent product. Meta notes its harness may not be tuned for third-party models. For reference, Meta’s model page：https://developer.meta.com/ai/models/muse-spark/ lists Muse Spark 1.1 at 80.0 on Terminal-Bench 2.1.","Meta tested iterative GPU kernel optimization over 1,000+ tool calls, running up to 24 hours. The model writes, compiles, profiles, and progressively improves kernels against a provided baseline. Benchmarks covered KDA and MLA kernels on NVIDIA Hopper GPUs. For KDA, the baseline is the FLA Triton implementation, with third-party kernel libraries prohibited. Muse Spark 1.2 paired a chunk-parallel preparation kernel with a sequential inter-chunk scan. For MLA, the reference is PyTorch at batch size 1, 64 heads, sequence length 8192, and latent dimension 512. The model built a two-kernel Triton pipeline that reuses the shared KV latent as both K and V.","Need to partner with us for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.? Connect with us ：https://forms.gle/wbash1wF6efRj8G58","Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.","[FREE GUIDE] Securing AI Agents, MCP Servers & LLM Apps ：https://pxllnk.co/lxn88m"],"articleImages":[{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2026/08/Screenshot-2026-08-05-at-1.07.03-PM-1.png","alt":"","afterParagraph":5,"url":"/media/articles/cmsgitd3a075oro5qa2aqtbp1/16261ddf643ed932.webp"},{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-300x300.png","alt":"","afterParagraph":8,"url":"/media/articles/cmsgitd3a075oro5qa2aqtbp1/787a6d54564e8e19.webp"},{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2026/08/blog6176-12-100x70.png","alt":"NVIDIA Releases Alpamayo 2 Super","afterParagraph":9,"url":"/media/articles/cmsgitd3a075oro5qa2aqtbp1/840d7d20551c1f7b.png"},{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2026/08/blog6176-1-1-100x70.png","alt":"Pixel-Native RAG: A Practical Guide to Visual Document Indexing","afterParagraph":9,"url":"/media/articles/cmsgitd3a075oro5qa2aqtbp1/5c8b01b8b70a10f0.png"}],"mediaStatus":"ok","articleBodyZh":["Meta AI 发布了 Muse Code（处于测试版），这是一个终端编码代理，基于其新的 Muse Spark 1.2 模型：https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2。Meta 将这对产品定位为向前沿迈进的下一步，并计划后续推出更大型的模型。Muse Code 针对大型代码库中的复杂软件工程：它可规划变更、编写代码并验证结果。一组异步后台代理在整个会话中保持活跃，而不是每个任务生成一个代理。本地的追加事件日志记录每次模型调用、工具运行、审批和编辑，Meta 称其为可精确回放且可安全重启。Muse Spark 1.2 通过与该框架自身共同训练。Meta 还发布了一个内核优化案例研究，在长达 24 小时内运行了 1000 多次工具调用。","是的。Muse Code：https://developer.meta.com/ai/products/muse-code 可通过 curl -fsSL https://dev.meta.ai/install.sh | bash 在 macOS 和 Linux 上以测试版形式发布。Muse Spark 1.2 可在 Muse Code 和 Meta Model API：https://developer.meta.com/ai/ 中使用，并扩展了全球访问。发布文章未提及可下载的权重，因此应将其视为托管依赖。","Muse Code 运行一个简单的代理循环以及一组异步后台代理。这些专用代理在整个会话中保持活跃。它们不会为单个任务生成，Meta 表示这样可避免重复的信息收集。它们执行下一步操作并决定何时向主代理汇报。Meta 表示，这种持续存在可减少复杂多步任务的延迟和操作干预。","Muse Code 使用本地事件日志。每次模型调用、工具运行、审批和编辑都会附加到日志中。Meta 将这一单一真实来源称为可精确回放且可安全重启。崩溃后，代理能准确从停下的地方继续，使长时间运行的任务能够在故障下存活。","代理预装了三项默认技能。/plan 将任务转化为需审批的计划。/grill 对该计划进行压力测试直到稳健。/goal 致力于成功完成指定的目标。","Muse Spark 1.2 是针对 Muse Spark 1.1 的以编码为中心的更新：https://research.meta.ai/blog/introducing-muse-spark-meta-model-api。Meta 报告称在代码生成、复杂调试、代码库理解和端到端开发者工作流程方面取得了进展。研究团队显著增加了编码任务的训练计算量，并扩展了环境的多样性。该模型在其他领域仍保持其优势，包括通用代理。","Meta 的方法报告：https://research.meta.ai/static/muse-spark-1-2-methodology 非常具体。Terminal-Bench 2.1 使用所有 89 个任务，五次尝试取 pass@1。DeepSWE v1.1 涵盖 91 个仓库中的 113 个任务及五种语言。Meta 内部编码基准包含从真实内部拉取请求中获得的 440 个任务。运行在隔离的 Daytona 云沙箱中。对比对象包括 Grok 4.5、Claude Opus 5、GPT-5.6 Terra、Gemini 3.6 Flash 和 Kimi K3，每个都有自己的代理产品。Meta 指出其基准可能未针对第三方模型进行优化。参考：Meta 的模型页面：https://developer.meta.com/ai/models/muse-spark/ 列出 Muse Spark 1.1 在 Terminal-Bench 2.1 上得分为 80.0。","Meta 测试了超过 1,000 次工具调用的迭代 GPU 内核优化，运行时间最长可达 24 小时。模型根据提供的基线撰写、编译、分析并逐步改进内核。基准测试涵盖 NVIDIA Hopper GPU 上的 KDA 和 MLA 内核。对于 KDA，基线为 FLA Triton 实现，禁止使用第三方内核库。Muse Spark 1.2 将块并行准备内核与顺序块间扫描结合使用。对于 MLA，参考标准为 PyTorch，批量大小 1，64 个头，序列长度 8192，潜在维度 512。模型构建了一个由两个内核组成的 Triton 流水线，重用共享 KV 潜在作为 K 和 V。","需要与我们合作以推广您的 GitHub 仓库、Hugging Face 页面、产品发布或网络研讨会等？请通过此链接联系我们：https://forms.gle/wbash1wF6efRj8G58","Asif Razzaq 是 Marktechpost Media Inc. 的首席执行官。作为一名有远见的企业家和工程师，Asif 致力于将人工智能的潜力用于社会公益。他最近的努力是推出一个人工智能媒体平台 Marktechpost，该平台以对机器学习和深度学习新闻进行深入报道而闻名，这些报道既具有技术性，又易于广大观众理解。该平台每月的访问量超过 200 万次，显示出其在观众中的受欢迎程度。","[免费指南] 确保AI代理、MCP服务器和LLM应用程序安全：https://pxllnk.co/lxn88m"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Meta AI 发布测试版终端编码智能体 Muse Code，由 Muse Spark 1.2 驱动，面向大型代码库的软件工程任务，可规划变更、编写代码并验证结果。","background":"Muse Code 采用主智能体循环与会话级异步后台智能体，并以本地追加式事件日志记录模型调用、工具运行、审批和编辑。测试版支持 macOS 与 Linux，模型也可通过 Meta Model API 使用。","viewpoint":"Aioga 判断，此次更新的重点不只在代码生成，而是长流程任务的持续执行、审批控制与故障恢复。原文未提供可下载权重，当前披露的使用路径仍以 Muse Code 和模型 API 为主。","implications":"持续驻留的后台智能体可能减少复杂任务中的重复信息收集，本地事件日志则为崩溃后恢复提供基础。Meta 还披露了超过一千次工具调用、最长二十四小时的 GPU 内核优化案例，但单一案例不能直接代表普遍效果。","nextStep":"值得关注测试版在真实大型代码库中的稳定性、审批机制和恢复能力，以及第三方对基准结果的复现。评估模型对比时还应注意，Meta 明确提示其智能体框架可能未针对第三方模型调优。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-08-05T20:45:32.063Z","sourceHash":"5b2b372947e55f60","review":{"approved":true,"groundedness":96,"clarity":91,"duplicationRisk":12,"blockingIssues":[],"notes":["“审批控制”可由 /plan 的审批门控计划和事件日志中的审批记录进一步明确，但现有表述不构成事实错误。","“当前披露的使用路径仍以 Muse Code 和模型 API 为主”属于基于来源材料的合理概括；来源明确未提及可下载权重。","“故障恢复提供基础”是谨慎的推论，来源明确称事件日志支持崩溃后精确恢复。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["模型更新","MarkTechPost（RSS）"],"translations":{"zh-CN":{"title":"Meta AI 发布 Muse Code：由 Muse Spark 1.2 驱动的终端编码智能体","summary":"Meta AI 发布终端编码智能体 Muse Code（测试版），由新模型 Muse Spark 1.2 驱动，面向大型代码库的复杂软件工程，可规划变更、编写代码并验证结果。","category":"模型更新","source":"marktechpost.com","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI 发布 Muse Code：由 Muse Spark 1.2 驱动的终端编码智能体 - Aioga AI资讯","description":"Meta AI 发布终端编码智能体 Muse Code（测试版），由新模型 Muse Spark 1.2 驱动，面向大型代码库的复杂软件工程，可规划变更、编写代码并验证结果。","url":"https://www.aioga.com/news/cmsgitd3a075oro5qa2aqtbp1/","articleBody":["Meta AI 发布了 Muse Code（处于测试版），这是一个终端编码代理，基于其新的 Muse Spark 1.2 模型：https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2。Meta 将这对产品定位为向前沿迈进的下一步，并计划后续推出更大型的模型。Muse Code 针对大型代码库中的复杂软件工程：它可规划变更、编写代码并验证结果。一组异步后台代理在整个会话中保持活跃，而不是每个任务生成一个代理。本地的追加事件日志记录每次模型调用、工具运行、审批和编辑，Meta 称其为可精确回放且可安全重启。Muse Spark 1.2 通过与该框架自身共同训练。Meta 还发布了一个内核优化案例研究，在长达 24 小时内运行了 1000 多次工具调用。","是的。Muse Code：https://developer.meta.com/ai/products/muse-code 可通过 curl -fsSL https://dev.meta.ai/install.sh | bash 在 macOS 和 Linux 上以测试版形式发布。Muse Spark 1.2 可在 Muse Code 和 Meta Model API：https://developer.meta.com/ai/ 中使用，并扩展了全球访问。发布文章未提及可下载的权重，因此应将其视为托管依赖。","Muse Code 运行一个简单的代理循环以及一组异步后台代理。这些专用代理在整个会话中保持活跃。它们不会为单个任务生成，Meta 表示这样可避免重复的信息收集。它们执行下一步操作并决定何时向主代理汇报。Meta 表示，这种持续存在可减少复杂多步任务的延迟和操作干预。","Muse Code 使用本地事件日志。每次模型调用、工具运行、审批和编辑都会附加到日志中。Meta 将这一单一真实来源称为可精确回放且可安全重启。崩溃后，代理能准确从停下的地方继续，使长时间运行的任务能够在故障下存活。","代理预装了三项默认技能。/plan 将任务转化为需审批的计划。/grill 对该计划进行压力测试直到稳健。/goal 致力于成功完成指定的目标。","Muse Spark 1.2 是针对 Muse Spark 1.1 的以编码为中心的更新：https://research.meta.ai/blog/introducing-muse-spark-meta-model-api。Meta 报告称在代码生成、复杂调试、代码库理解和端到端开发者工作流程方面取得了进展。研究团队显著增加了编码任务的训练计算量，并扩展了环境的多样性。该模型在其他领域仍保持其优势，包括通用代理。","Meta 的方法报告：https://research.meta.ai/static/muse-spark-1-2-methodology 非常具体。Terminal-Bench 2.1 使用所有 89 个任务，五次尝试取 pass@1。DeepSWE v1.1 涵盖 91 个仓库中的 113 个任务及五种语言。Meta 内部编码基准包含从真实内部拉取请求中获得的 440 个任务。运行在隔离的 Daytona 云沙箱中。对比对象包括 Grok 4.5、Claude Opus 5、GPT-5.6 Terra、Gemini 3.6 Flash 和 Kimi K3，每个都有自己的代理产品。Meta 指出其基准可能未针对第三方模型进行优化。参考：Meta 的模型页面：https://developer.meta.com/ai/models/muse-spark/ 列出 Muse Spark 1.1 在 Terminal-Bench 2.1 上得分为 80.0。","Meta 测试了超过 1,000 次工具调用的迭代 GPU 内核优化，运行时间最长可达 24 小时。模型根据提供的基线撰写、编译、分析并逐步改进内核。基准测试涵盖 NVIDIA Hopper GPU 上的 KDA 和 MLA 内核。对于 KDA，基线为 FLA Triton 实现，禁止使用第三方内核库。Muse Spark 1.2 将块并行准备内核与顺序块间扫描结合使用。对于 MLA，参考标准为 PyTorch，批量大小 1，64 个头，序列长度 8192，潜在维度 512。模型构建了一个由两个内核组成的 Triton 流水线，重用共享 KV 潜在作为 K 和 V。","需要与我们合作以推广您的 GitHub 仓库、Hugging Face 页面、产品发布或网络研讨会等？请通过此链接联系我们：https://forms.gle/wbash1wF6efRj8G58","Asif Razzaq 是 Marktechpost Media Inc. 的首席执行官。作为一名有远见的企业家和工程师，Asif 致力于将人工智能的潜力用于社会公益。他最近的努力是推出一个人工智能媒体平台 Marktechpost，该平台以对机器学习和深度学习新闻进行深入报道而闻名，这些报道既具有技术性，又易于广大观众理解。该平台每月的访问量超过 200 万次，显示出其在观众中的受欢迎程度。","[免费指南] 确保AI代理、MCP服务器和LLM应用程序安全：https://pxllnk.co/lxn88m"]},"en":{"title":"Meta AI releases Muse Code: a terminal coding agent powered by Muse Spark 1.2","summary":"Meta AI releases the terminal coding agent Muse Code (beta), powered by the new model Muse Spark 1.2. It targets complex software engineering for large codebases, capable of planning changes, writing code, and verifying results.","category":"Models","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI releases Muse Code: a terminal coding agent powered by Muse Spark 1.2 - Aioga AI News","description":"Meta AI releases the terminal coding agent Muse Code (beta), powered by the new model Muse Spark 1.2. It targets complex software engineering for large codebases, capable of planni...","url":"https://www.aioga.com/en/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:22:28.497Z"},"ja":{"title":"Meta AIがMuse Codeをリリース:Muse Spark 1.2を搭載した端末エンコーディングエージェント","summary":"Meta AIは、新しいモデルMuse Spark 1.2を搭載したターミナルコーディングエージェントMuse Code(ベータ版)をリリースしました。これは大規模なコードベースを対象とした複雑なソフトウェアプロジェクト向けに設計されており、変更の計画、コードの作成、結果の検証が可能です。","category":"モデル更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AIがMuse Codeをリリース:Muse Spark 1.2を搭載した端末エンコーディングエージェント - Aioga AIニュース","description":"Meta AIは、新しいモデルMuse Spark 1.2を搭載したターミナルコーディングエージェントMuse Code(ベータ版)をリリースしました。これは大規模なコードベースを対象とした複雑なソフトウェアプロジェクト向けに設計されており、変更の計画、コードの作成、結果の検証が可能です。","url":"https://www.aioga.com/ja/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:22:29.650Z"},"ko":{"title":"Meta AI가 Muse Code를 출시했습니다: Muse Spark 1.2로 구동되는 터미널 인코딩 에이전트","summary":"Meta AI는 새로운 모델 Muse Spark 1.2를 기반으로 한 터미널 코딩 에이전트 Muse Code(베타 버전)를 출시했으며, 대규모 코드베이스를 대상으로 한 복잡한 소프트웨어 프로젝트를 위해 설계되었으며, 변경 계획, 코드 작성, 결과 검증이 가능합니다.","category":"모델 업데이트","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI가 Muse Code를 출시했습니다: Muse Spark 1.2로 구동되는 터미널 인코딩 에이전트 - Aioga AI 뉴스","description":"Meta AI는 새로운 모델 Muse Spark 1.2를 기반으로 한 터미널 코딩 에이전트 Muse Code(베타 버전)를 출시했으며, 대규모 코드베이스를 대상으로 한 복잡한 소프트웨어 프로젝트를 위해 설계되었으며, 변경 계획, 코드 작성, 결과 검증이 가능합니다.","url":"https://www.aioga.com/ko/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:22:38.189Z"},"es":{"title":"Meta AI lanza Muse Code: un agente de codificación de terminal impulsado por Muse Spark 1.2","summary":"Meta AI ha lanzado el agente de codificación terminal Muse Code (versión beta), impulsado por el nuevo modelo Muse Spark 1.2, diseñado para proyectos de software complejos dirigidos a grandes bases de código, capaces de planificar cambios, escribir código y verificar resultados.","category":"Modelos","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI lanza Muse Code: un agente de codificación de terminal impulsado por Muse Spark 1.2 - Aioga Noticias de IA","description":"Meta AI ha lanzado el agente de codificación terminal Muse Code (versión beta), impulsado por el nuevo modelo Muse Spark 1.2, diseñado para proyectos de software complejos dirigido...","url":"https://www.aioga.com/es/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:22:38.181Z"},"fr":{"title":"Meta AI publie Muse Code : un agent d’encodage terminal alimenté par Muse Spark 1.2","summary":"Meta AI a publié l’agent de codage terminal Muse Code (version bêta), propulsé par le nouveau modèle Muse Spark 1.2, conçu pour des projets logiciels complexes ciblant de grandes bases de code, capable de planifier des modifications, d’écrire du code et de vérifier les résultats.","category":"Modèles","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI publie Muse Code : un agent d’encodage terminal alimenté par Muse Spark 1.2 - Aioga Actualités IA","description":"Meta AI a publié l’agent de codage terminal Muse Code (version bêta), propulsé par le nouveau modèle Muse Spark 1.2, conçu pour des projets logiciels complexes ciblant de grandes b...","url":"https://www.aioga.com/fr/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:22:46.725Z"},"de":{"title":"Meta AI veröffentlicht Muse Code: einen Terminalcodierer-Agenten, der von Muse Spark 1.2 angetrieben wird","summary":"Meta AI hat den Terminalcoding-Agent Muse Code (Beta-Version) veröffentlicht, der vom neuen Modell Muse Spark 1.2 unterstützt wird und für komplexe Softwareprojekte entwickelt wurde, die große Codebasen ansprechen und Änderungen planen, Code schreiben und Ergebnisse überprüfen können.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI veröffentlicht Muse Code: einen Terminalcodierer-Agenten, der von Muse Spark 1.2 angetrieben wird - Aioga KI-News","description":"Meta AI hat den Terminalcoding-Agent Muse Code (Beta-Version) veröffentlicht, der vom neuen Modell Muse Spark 1.2 unterstützt wird und für komplexe Softwareprojekte entwickelt wurd...","url":"https://www.aioga.com/de/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:22:46.363Z"},"pt-BR":{"title":"A Meta AI lança Muse Code: um agente de codificação terminal alimentado pelo Muse Spark 1.2","summary":"A Meta AI lançou o agente de codificação de terminal Muse Code (versão beta), alimentado pelo novo modelo Muse Spark 1.2, projetado para projetos de software complexos voltados para grandes bases de código, capaz de planejar mudanças, escrever código e verificar resultados.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"A Meta AI lança Muse Code: um agente de codificação terminal alimentado pelo Muse Spark 1.2 - Aioga Notícias de IA","description":"A Meta AI lançou o agente de codificação de terminal Muse Code (versão beta), alimentado pelo novo modelo Muse Spark 1.2, projetado para projetos de software complexos voltados par...","url":"https://www.aioga.com/pt-BR/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:22:55.210Z"},"ru":{"title":"Meta AI выпускает Muse Code: терминальный кодировочный агент на базе Muse Spark 1.2","summary":"Meta AI выпустила терминальный кодировочный агент Muse Code (бета-версия), основанный на новой модели Muse Spark 1.2, предназначенный для сложных программных проектов, ориентированных на большие кодовые базы, способного планировать изменения, писать код и проверять результаты.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI выпускает Muse Code: терминальный кодировочный агент на базе Muse Spark 1.2 - Aioga Новости ИИ","description":"Meta AI выпустила терминальный кодировочный агент Muse Code (бета-версия), основанный на новой модели Muse Spark 1.2, предназначенный для сложных программных проектов, ориентирован...","url":"https://www.aioga.com/ru/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:22:54.088Z"},"ar":{"title":"أطلقت Meta AI رمز ميوز: وكيل ترميز طرفي مدعوم بمحرك Muse Spark 1.2","summary":"أصدرت شركة Meta AI عامل الترميز الطرفي Muse Code (النسخة التجريبية)، المدعوم بالنموذج الجديد Muse Spark 1.2، المصمم لمشاريع برمجية معقدة تستهدف قواعد الشيفرة الكبيرة، وقادر على تخطيط التغييرات، وكتابة الكود، والتحقق من النتائج.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"أطلقت Meta AI رمز ميوز: وكيل ترميز طرفي مدعوم بمحرك Muse Spark 1.2 - Aioga أخبار الذكاء الاصطناعي","description":"أصدرت شركة Meta AI عامل الترميز الطرفي Muse Code (النسخة التجريبية)، المدعوم بالنموذج الجديد Muse Spark 1.2، المصمم لمشاريع برمجية معقدة تستهدف قواعد الشيفرة الكبيرة، وقادر على تخط...","url":"https://www.aioga.com/ar/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:23:03.749Z"},"hi":{"title":"Meta AI ने Muse Code जारी किया: Muse Spark 1.2 द्वारा संचालित एक टर्मिनल एन्कोडिंग एजेंट","summary":"Meta AI ने टर्मिनल कोडिंग एजेंट Muse Code (बीटा वर्जन) जारी किया है, जो नए मॉडल Muse Spark 1.2 द्वारा संचालित है, जिसे बड़े कोडबेस को लक्षित करने वाले जटिल सॉफ़्टवेयर प्रोजेक्ट के लिए डिज़ाइन किया गया है, जो परिवर्तनों की योजना बनाने, कोड लिखने और परिणामों को सत्यापित करने में सक्षम है।","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI ने Muse Code जारी किया: Muse Spark 1.2 द्वारा संचालित एक टर्मिनल एन्कोडिंग एजेंट - Aioga AI समाचार","description":"Meta AI ने टर्मिनल कोडिंग एजेंट Muse Code (बीटा वर्जन) जारी किया है, जो नए मॉडल Muse Spark 1.2 द्वारा संचालित है, जिसे बड़े कोडबेस को लक्षित करने वाले जटिल सॉफ़्टवेयर प्रोजेक्ट के...","url":"https://www.aioga.com/hi/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:23:03.808Z"},"it":{"title":"Meta AI rilascia Muse Code: un agente di codifica terminale alimentato da Muse Spark 1.2","summary":"Meta AI ha rilasciato l'agente di codifica terminale Muse Code (versione beta), alimentato dal nuovo modello Muse Spark 1.2, progettato per progetti software complessi rivolti a grandi basi di codice, capaci di pianificare modifiche, scrivere codice e verificare i risultati.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI rilascia Muse Code: un agente di codifica terminale alimentato da Muse Spark 1.2 - Aioga Notizie IA","description":"Meta AI ha rilasciato l'agente di codifica terminale Muse Code (versione beta), alimentato dal nuovo modello Muse Spark 1.2, progettato per progetti software complessi rivolti a gr...","url":"https://www.aioga.com/it/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:23:12.812Z"},"nl":{"title":"Meta AI brengt Muse Code uit: een terminalcodeeragent aangedreven door Muse Spark 1.2","summary":"Meta AI heeft de terminalcoderingsagent Muse Code (bètaversie) uitgebracht, aangedreven door het nieuwe model Muse Spark 1.2, ontworpen voor complexe softwareprojecten gericht op grote codebases, in staat om wijzigingen te plannen, code te schrijven en resultaten te verifiëren.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI brengt Muse Code uit: een terminalcodeeragent aangedreven door Muse Spark 1.2 - Aioga AI-nieuws","description":"Meta AI heeft de terminalcoderingsagent Muse Code (bètaversie) uitgebracht, aangedreven door het nieuwe model Muse Spark 1.2, ontworpen voor complexe softwareprojecten gericht op g...","url":"https://www.aioga.com/nl/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:23:11.510Z"},"tr":{"title":"Meta AI, Muse Spark 1.2 tarafından desteklenen bir terminal kodlama ajanı olan Muse Code adlı programı yayınladı","summary":"Meta AI, yeni model Muse Spark 1.2 tarafından desteklenen terminal kodlama ajanı Muse Code (beta sürümü) yayımladı; bu model büyük kod tabanlarını hedefleyen karmaşık yazılım projeleri için tasarlanmış, değişiklikleri planlamaya, kod yazmaya ve sonuçları doğrulayabiliyor.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI, Muse Spark 1.2 tarafından desteklenen bir terminal kodlama ajanı olan Muse Code adlı programı yayınladı - Aioga AI Haberleri","description":"Meta AI, yeni model Muse Spark 1.2 tarafından desteklenen terminal kodlama ajanı Muse Code (beta sürümü) yayımladı; bu model büyük kod tabanlarını hedefleyen karmaşık yazılım proje...","url":"https://www.aioga.com/tr/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:23:21.299Z"},"vi":{"title":"Meta AI phát hành Muse Code: một agent mã hóa terminal được hỗ trợ bởi Muse Spark 1.2","summary":"Meta AI đã phát hành agent mã hóa terminal Muse Code (phiên bản beta), được hỗ trợ bởi mô hình mới Muse Spark 1.2, được thiết kế cho các dự án phần mềm phức tạp nhắm vào các mã nguồn lớn, có khả năng lập kế hoạch thay đổi, viết mã và xác minh kết quả.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI phát hành Muse Code: một agent mã hóa terminal được hỗ trợ bởi Muse Spark 1.2 - Tin tức AI Aioga","description":"Meta AI đã phát hành agent mã hóa terminal Muse Code (phiên bản beta), được hỗ trợ bởi mô hình mới Muse Spark 1.2, được thiết kế cho các dự án phần mềm phức tạp nhắm vào các mã ngu...","url":"https://www.aioga.com/vi/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:23:20.718Z"},"id":{"title":"Meta AI merilis Muse Code: agen pengkodean terminal yang didukung oleh Muse Spark 1.2","summary":"Meta AI telah merilis agen pengkode terminal Muse Code (versi beta), yang didukung oleh model baru Muse Spark 1.2, dirancang untuk proyek perangkat lunak kompleks yang menargetkan basis kode besar, mampu merencanakan perubahan, menulis kode, dan memverifikasi hasil.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI merilis Muse Code: agen pengkodean terminal yang didukung oleh Muse Spark 1.2 - Berita AI Aioga","description":"Meta AI telah merilis agen pengkode terminal Muse Code (versi beta), yang didukung oleh model baru Muse Spark 1.2, dirancang untuk proyek perangkat lunak kompleks yang menargetkan...","url":"https://www.aioga.com/id/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:23:29.909Z"},"th":{"title":"Meta AI เปิดตัว Muse Code: เอเจนต์เข้ารหัสเทอร์มินัลที่ขับเคลื่อนด้วย Muse Spark 1.2","summary":"Meta AI ได้เปิดตัวเอเจนต์เขียนโค้ดเทอร์มินัล Muse Code (เวอร์ชันเบต้า) ซึ่งขับเคลื่อนด้วยรุ่นใหม่ Muse Spark 1.2 ซึ่งออกแบบมาสําหรับโครงการซอฟต์แวร์ที่ซับซ้อนซึ่งมุ่งเป้าไปที่ฐานโค้ดขนาดใหญ่ สามารถวางแผนการเปลี่ยนแปลง เขียนโค้ด และตรวจสอบผลลัพธ์ได้","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI เปิดตัว Muse Code: เอเจนต์เข้ารหัสเทอร์มินัลที่ขับเคลื่อนด้วย Muse Spark 1.2 - ข่าว AI Aioga","description":"Meta AI ได้เปิดตัวเอเจนต์เขียนโค้ดเทอร์มินัล Muse Code (เวอร์ชันเบต้า) ซึ่งขับเคลื่อนด้วยรุ่นใหม่ Muse Spark 1.2 ซึ่งออกแบบมาสําหรับโครงการซอฟต์แวร์ที่ซับซ้อนซึ่งมุ่งเป้าไปที่ฐานโค...","url":"https://www.aioga.com/th/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:23:29.853Z"},"pl":{"title":"Meta AI udostępnia Muse Code: terminal encoding agent zasilany przez Muse Spark 1.2","summary":"Meta AI wypuściła agenta kodującego terminala Muse Code (wersja beta), oparty na nowym modelu Muse Spark 1.2, zaprojektowanego dla złożonych projektów programistycznych skierowanych na duże bazy kodu, zdolnego do planowania zmian, pisania kodu i weryfikacji wyników.","category":"模型更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Meta AI udostępnia Muse Code: terminal encoding agent zasilany przez Muse Spark 1.2 - Aioga Wiadomości AI","description":"Meta AI wypuściła agenta kodującego terminala Muse Code (wersja beta), oparty na nowym modelu Muse Spark 1.2, zaprojektowanego dla złożonych projektów programistycznych skierowanyc...","url":"https://www.aioga.com/pl/news/cmsgitd3a075oro5qa2aqtbp1/","contentTranslated":true,"sourceHash":"843976e685a6825a","translatedAt":"2026-08-05T20:23:38.462Z"}}}}