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Auggie

Augment Code 的 AI 编程代理产品

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已收录 3 条与 Auggie 相关的内容,按评分排序。

https://t.co/gEIxt9RMBF

Opus 4.7 for 33% less: How Auggie beats Claude Code on cost and quality

Augment Code(@augmentcode)890 字 (约 4 分钟)
75

Augment Code's benchmark shows that its AI coding assistant Auggie achieves a slightly higher pass rate (67.4% vs 66.3%) than Claude Code using Opus 4.7 while costing approximately 33% less, primarily due to token efficiency from precise retrieval through its Context Engine semantic indexing technology.

入选理由:Auggie 在 Terminal Bench 2.0 上以 67.4% vs 66.3% 的通过率略胜 Claude Code,同时 token 使用量减少 32%,成本降低 33%

FeaturedTweet#AI Coding Assistant#Benchmark#Cost Optimization#Token Efficiency#Augment Code英文
The setup:
✔️40 hand-selected PRs from OpenClaw, mid-complexity (100–300 LOC excluding tests)
✔️ Thr...

该推文仅披露了一项代码生成评测实验的初步配置(40个PR、3个模型、2种提示变体等),但未提供任何结果、分析或方法论细节,信息密度低,属预告性碎片内容。

入选理由:实验使用40个中等复杂度OpenClaw PR作为测试用例

FeaturedTweet#AI编程#代码生成#LLM评测#OpenClaw中文
Quality: basically unchanged for Auggie and Codex. Claude Code dropped −0.07, with more conservative...

Augment Code 在对比 Auggie、Codex 和 Claude Code 的代码生成质量时指出:前两者基本稳定,Claude Code 质量下降 0.07,行为更保守且修改文件数减少约 5%。

入选理由:Auggie 与 Codex 的代码生成质量基本保持不变

FeaturedTweet#AI coding#code generation#Claude#Codex#agent evaluation中英混合

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