cto.new
Officially listedAutonomous AI software engineer with frontier models built in and no API key configuration required.
cto.new
cto.new is an enterprise-grade autonomous AI software engineer developed by Engine Labs, built to solve developers' subscription fatigue. It is more than a chat assistant: it is a full-fledged AI development team that executes tasks directly in your workflow. Through an innovative freemium model, developers can call frontier top-tier large models for free without attaching a credit card.
Core Capabilities
- Autonomous end-to-end workflow: Handles the full pipeline from reading Jira/Linear tickets and planning requirements to writing code, running tests, and automatically submitting Pull Requests.
- Marketplace of ready-made AI teams: Offers a preset agent marketplace covering roles from frontend development and SRE operations to marketing, delivering plug-and-play virtual teams.
- Isolated cloud sandboxes: Assigns each agent a remote dedicated virtual machine (Task Runner) that completes isolated builds and thorough self-testing before code is submitted, keeping your local environment clean.
- Deep ecosystem integration: Natively supports the MCP protocol and connects seamlessly to enterprise development and collaboration platforms such as GitHub, GitLab, Slack, Sentry, and Notion.
- Aggregation of frontier models: With no complex API key configuration, it natively supports the latest top-tier large language models such as GPT-5, Claude 4.5, and Gemini 2.5 Pro.
Use Cases A great fit for independent developers on a budget, full-stack startup teams, and technical teams that collaborate asynchronously through GitHub pull requests and ticketing systems, efficiently clearing backlogged bugs or scaffolding tasks.
Unique Advantages Unlike Cursor, which focuses on high-frequency interactive local coding, cto.new specializes in asynchronous, fully handled service away from your local environment. Its data-for-free model breaks AI coding's high subscription barrier and enters the value market with outstanding cost performance, making it a true asynchronous AI teammate that can independently complete work.
Editor's Review cto.new's product philosophy of weaving AI seamlessly into modern ticketing and PR workflows is highly advanced, and its zero-cost access to frontier large models is extremely attractive for independent developers. Although the free tier's data privacy policy may give enterprises handling sensitive code pause, for teams that want to automate tedious tasks it is an indispensable, best-in-class productivity choice.
Pricing
### 💰 定价模式：免费增值 **起步价**：免费 #### 主要方案 - **Free (免费版)**：$0 - 带广告支持，每日使用额度限制；无需信用卡可访问GPT-5等前沿模型（数据用于训练）。 - **Premium (高级版)**：$20/月 - 2倍以上滚动使用额度；无广告；支持关闭数据训练选项，使用高级Agent。 — Visit website
FAQ
Is cto.new free?
Yes. cto.new offers a permanent free tier with no credit card required that can call frontier models such as GPT-5, though with daily usage limits, and data is used for model training by default. A $20/month premium plan adds more quota and privacy controls.
What can cto.new be used for?
cto.new acts as an autonomous AI software engineer, handling the full development loop for you: reading ticket requirements, writing code, running cloud tests, and automatically submitting Pull Requests.
Which large language models does cto.new support?
cto.new natively aggregates the latest top-tier large language models, including GPT-5, Claude 4.5, and Gemini 2.5 Pro, so users can start right away without configuring complex API keys.
How does cto.new differ from Cursor?
Cursor focuses on high-frequency interactive code writing in a local IDE, while cto.new is built around cloud and asynchronous processing, fully completing complex development and debugging tasks away from your local environment.
Is cto.new's code privacy safe?
On the free tier, your code and prompt data are anonymized and used for model training to sustain the service; if you work with sensitive commercial code, upgrade to the premium plan to turn off the data training option.
What kind of development teams is cto.new for?
It suits full-stack startup teams, independent developers, and R&D teams that rely heavily on GitHub and ticketing systems like Jira/Linear for asynchronous collaboration.