Folderer 记录了 491 月访问量，月度环比增长为 -61%，定价为定价请咨询。Workik 记录了 167,268 月访问量，增长率为 -26.3%，定价为免费增值。
Folderer is an AI development assistant that turns plain-language project ideas into working code and commits it straight into your GitHub repositories. You describe what you want to build in chat, the AI generates and refines tailored code, and Folderer organizes the resulting files into your repo so you can keep shipping.
Workik is an AI development platform that captures the context behind engineering tasks and turns it into plans, code, tests, and documentation. Connect your repositories, databases, and project knowledge, then let Workik AI assist across planning, debugging, testing, and codebase documentation.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | folderer.com | workik.com |
| 定价模式 | 定价请咨询 | 免费增值 |
| 月访问量 | 491 (491) | 16.73万 (167,268) |
| 月度环比流量变化 | -767 (-61%) | -5.96万 (-26.3%) |
| 主要市场与份额 | 🇺🇸 美国 (100%) | 🇺🇸 美国 (18.2%) |
| 直接访问 / 月 | 145 | 3.46万 |
| 用户评分 | 3.9 | 4.2 |
| 支持的平台 | 网站 | 网站 |
Folderer is an AI development assistant that turns plain-language project ideas into working code and commits it straight into your GitHub repositories. You describe what you want to build in chat, the AI generates and refines tailored code, and Folderer organizes the resulting files into your repo so you can keep shipping.
Describe your idea in plain language and Folderer's AI produces customized, production-ready code that follows your project conventions.
Generated files are organized and committed directly into your GitHub repositories, keeping version history and structure clean.
Keep the conversation going to refine output — adjust features, fix bugs and extend the code without restarting from scratch.
Folderer handles file placement and repository structure so you spend less time on manual organization and more on building.
Workik is an AI development platform that captures the context behind engineering tasks and turns it into plans, code, tests, and documentation. Connect your repositories, databases, and project knowledge, then let Workik AI assist across planning, debugging, testing, and codebase documentation.
Import code from GitHub, GitLab, or Bitbucket and save project knowledge such as schemas, APIs, and files so AI responses reflect your real codebase via vector search.
Generate frontend, backend, and full-stack code, explain existing logic, debug issues, and produce tests directly from a shared AI workspace.
Generate readable documentation from a repository or a specific set of files, and document MySQL, PostgreSQL, MS-SQL, MariaDB, or MongoDB schemas that can be kept up to date.
Build bots that answer technical questions using your workspace context, test their responses, and deploy them to team channels with minimal setup.
免费 / 开源由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI，token 成本极低。
专项更强会学习你编码品味的 AI 编程智能体
提供强大的企业级多智能体 SDLC 编排功能，但缺乏 Workik 内置的数据库架构连接器功能。
提供强大的企业级多智能体 SDLC 编排功能，但缺乏 Workik 内置的数据库架构连接器功能。
Provides automated code reviews and developer productivity tools, but has less robust multi-file codebase planning.
