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Reason Machines 推出 AI 编程智能体 Reason，主打每美元完成工作量

TestingCatalog@testingcatalog
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有点意思的省钱思路：直接复用你已有的 ChatGPT 或 Claude 订阅来跑编程智能体，还宣称比 Codex 少花 22% 完成更多任务。给小团队和个人开发者省一笔订阅钱，常驻审查 PR 的功能也很实用，可以试用对比下。

Reason Machines 发布编程智能体 Reason，定位是最大化每美元能完成的开发工作量。官方测试数据显示，在同一底层模型下，Reason 完成的任务数量超过 Codex，同时花费降低 22%。

Body

Reason 支持设置常驻任务让其自主运行，例如自动审查每一个新的 pull request。使用方式上比较灵活，用户可以直接复用自己已有的 ChatGPT、Claude、GitHub Copilot 或 Grok 订阅来运行，不需要单独购买模型额度。

这种做法把智能体的调度层和模型订阅解耦，对已有多个 AI 订阅的团队来说可以按任务把活分给不同模型。相比 Codex、Claude Code 这类绑定自家订阅的产品，Reason 走的是套壳调度加自带账号的路线，成本敏感的个人开发者和小团队是主要目标用户。

Original · TestingCatalog

Reason Machines has launched Reason, its AI coding agent designed to maximize work completed per dollar.

During testing, Reason solved more tasks than Codex on the same model while spending 22% less.

Users can give it standing jobs to run autonomously, such as reviewing every new pull request, and run it using their own ChatGPT, Claude, GitHub Copilot, or Grok membership.

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Reason, Codex, GitHub Copilot, coding assistants.

Source attribution: curated from TestingCatalog (@testingcatalog).

#Reason#Codex#GitHub Copilot#coding assistants#agents

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