Why Build an AI Coding Agent on EdgeOne Makers
The platform provides everything an ai coding agent needs — isolated sandbox for code execution and preview, session-sticky runtime for multi-turn iteration, and built-in models for code generation.
One-Command Deployment
Deploy with `git push` for auto-deploy or `edgeone makers deploy` via CLI — no Docker, no Kubernetes, no server provisioning.
Built-in Agent Runtime
Managed runtime with session-sticky routing, up to 1-hour execution time, and in-memory state reuse — purpose-built for LLM calls and multi-step agent loops.
Integrated AI Models
Access DeepSeek, MiniMax, Hunyuan, and more through a unified AI gateway. New accounts receive 500K free tokens with zero configuration.
Full Observability
Zero-instrumentation distributed tracing — view complete call chains, LLM interactions, tool invocations, and latency metrics in local and cloud dashboards.
How to Build an AI Coding Agent in 3 Steps
Combine sandbox code execution, file I/O, and LLM calls to create your own vibe coding agent — or start from the open source agent template and customize.
1
Write Your Agent
Build in the `agents/` directory with any framework (OpenAI SDK, Claude SDK, LangGraph, CrewAI, DeepAgents).
2
Deploy to Production
Push to Git (GitHub/GitLab/Gitee) for auto-deploy, or run `edgeone makers deploy` via CLI.
3
Go Live
Deploys globally in minutes with automatic SSL and edge routing.
Platform Capabilities for AI Coding Agent
How EdgeOne Makers platform features enable your ai coding agent — sandbox for execution, runtime for iteration, models for generation.
Feature | Description |
|---|---|
| Agent Runtime | Hosts LLM calls, Agent loop orchestration, and business logic, with session-based routing and automatic scaling. |
| Sandbox Tools | Provides two separate yet interoperable API layers for both LLMs and developers. Browser automation, code execution, Shell, and file operations all run in an isolated sandbox environment. |
| Conversation Storage | Provides framework-compatible memory management, with unified APIs for sessions and messages. |
| Observability | Automatically collects call traces with zero-intrusion instrumentation, enabling unified trace viewing in both local and cloud dashboards. |
| Built-in Models | Access Hunyuan and other mainstream Chinese models through AI Gateway with a limited-time free token quota. |
What platform capabilities do I need to build an ai coding agent?
You need sandbox (code execution + file I/O + preview), session-sticky runtime (multi-turn iteration), and LLM access (code generation). EdgeOne Makers provides all three built-in.
Can I build a custom ai coding agent or must I use the template?
You can build from scratch or start from the open source vibe coding agent template (MIT license). The template shows how to wire sandbox tools with Claude SDK — customize freely.
How does the sandbox enable an ai coding agent?
The sandbox provides isolated code execution, file system access, dependency installation, and app preview via internal port — your ai coding agent can generate, run, and validate code in a secure environment.
Is building an ai coding agent free on EdgeOne Makers?
Yes. 500K model tokens/month, full sandbox access (3600s runtime, 20 concurrent), and session-sticky runtime — everything needed for a vibe coding agent at zero cost.
What models work best for an ai coding agent?
The platform supports any model via AI gateway. Claude (via Claude SDK) excels at coding tasks, but you can also use DeepSeek or MiniMax for your open source ai coding agent.