How to use Runtime to build a team AI programming Agent collaboration environment: a 30-minute complete tutorial
From zero configuration to team launch, products/design/operations can also safely use Claude Code and Codex
Editorial original
Written by WayToClawEarn editorial; cite this page as the primary analysis.
Tutorial Objectives
In 30-45 minutes, use Runtime to set up a team-level AI coding Agent collaboration environment. Your product, design, and operations colleagues can directly talk to agents such as Claude Code and Codex to complete tasks, instead of having to be accompanied by engineers every time.
What will you build?
- Sandboxed Agent Environment: Each team has an independent coding Agent, with its own project context and tool chain, ready to use at boot.
- Slack/Linar integration: Directly summon Agents to complete tasks in the team's daily collaboration channels
- Safety Guardrails: Cost limit, command whitelist, network export control, Agent will not touch the production environment
Preparation list
- GitHub account (Runtime uses GitHub OAuth to log in)
- Slack workspace (optional, recommended) - facilitates scheduling Agents directly in messages
- Your own AI API Key (Claude Code / OpenAI / Gemini are all acceptable)
Overall architecture
Runtime provides an "Agent infrastructure layer": you configure the project environment once and take a snapshot, and then when anyone triggers the Agent, it will run in an environment where everything has been configured.
| Module | Input | Output | Estimated time |
|---|---|---|---|
| Registration and project creation | GitHub account | Sandbox environment | 5 minutes |
| Configure project context | System commands + skill files | Reusable configuration | 10 minutes |
| Set up security guardrails | Command whitelist/network policy | Security policy | 5 minutes |
| Integrated collaboration channels | Slack / Linear | Agent touch portal | 5 minutes |
| Team hands-on verification | Real tasks | Final PR | 5-10 minutes |
Step 1: Register and create your first sandbox
Open app.runtm.com and log in with your GitHub account. The runtime reads the list of repositories you own through GitHub OAuth.
# CLI
brew install runtmdotcom/tap/runtm
runtm login, Create Sandbox,。Runtime Docker Compose、package.json ,。
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docker-compose.yml。
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.runtm/instructions.md
# Runtime Agent Instructions
## Code Style
- ESLint + Prettier
- `npm run test`
- PR Conventional Commits
## Permissions
- `.env.example`()
- `preview/`
- `production/`Runtime Guardrails
git, npm, docker, curl | |
api. github.com registry.npmjs.org | |
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Reference video/material
Internal link guidance
- Someone built SaaS from scratch using Claude Code in 48 hours, earning $9,000 per month: Claude Code 48 hours to start a business: one person + US$29 monthly fee, monthly income in 3 months $9,000
- Paired with tutorials that can save 90% of API fees: DeepSeek V4 vs Claude Code: 90% Cheaper, Same Quality
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Claude Code bug bounty
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