关于 ToCodex

ToCodex 是面向下一代软件研发的 AI 编程通用 IDE。我们致力于把世界领先的大模型能力真正落地到开发者每天都在使用的工程流程中，让需求分析、架构设计、编码实现、调试测试和交付上线，形成更高质量、更高效率的闭环。

我们的使命

让每一位开发者都拥有“随时在线的高级工程师搭档”，在保证工程质量与可控性的前提下，显著提升研发速度与产出密度。我们相信，AI 不应只是代码补全工具，而应成为可协作、可审计、可治理的工程生产力系统。

我们的愿景

构建一个“以开发者为中心”的智能研发基础设施，让个人开发者、创业团队与大型企业都能在同一平台上获得可扩展的 AI 研发能力，持续缩短从想法到上线的距离。

我们在做什么

深度集成大模型工作流，减少上下文切换成本；
支持多模型协作，按任务自动或手动选择最佳模型；
提供文件级与项目级上下文理解，输出更贴近真实工程；
覆盖设计、编码、调试、文档、Issue/PR 修复等完整链路；
通过技能（Skills）与 MCP 协议实现团队标准化与外部能力扩展。

我们的价值观

用户价值优先：一切功能以提升真实开发效率为目标；
工程质量第一：强调可维护性、可测试性与可追溯性；
安全与合规：尊重数据边界，持续完善安全机制；
长期主义：持续迭代，和开发者社区共同成长。

联系我们邮箱：service@tocodex.com

About ToCodex

ToCodex is a general-purpose AI programming IDE built for the next generation of software development. We are committed to bringing world-leading large model capabilities into the engineering workflows developers use every day, creating a higher-quality, higher-efficiency loop across requirements analysis, architecture design, implementation, debugging, testing, and production delivery.

Our Mission

Our mission is to give every developer an always-available senior engineering copilot. We focus on accelerating delivery while preserving engineering quality, control, and maintainability. We believe AI should evolve beyond autocomplete and become a collaborative, auditable, and governable productivity system.

Our Vision

We are building a developer-centric intelligent engineering infrastructure where individual developers, startups, and enterprise teams can all access scalable AI development capabilities and reduce the gap between idea and production.

What We Build

Deep integration with VS Code workflows to minimize context switching;
Multi-model support to match the right model to each task;
File-level and project-level context understanding for practical outputs;
End-to-end coverage across design, coding, debugging, docs, and Issue/PR fixes;
Team standardization via Skills and extensibility via the MCP protocol.

Our Values

User value first: Every feature must improve real developer outcomes;
Engineering quality: Maintainability, testability, and traceability matter;
Security and compliance: We respect data boundaries and governance;
Long-term thinking: We iterate continuously with the developer community.