OpenClaw + GitHub: Building a Real AI Teammate

Learn how to turn OpenClaw into your very own autonomous AI developer agent! In this tutorial, we build directly on our previous Google Cloud and Gemini setup to integrate OpenClaw with a private GitHub repository. Watch as we use Telegram to command our AI agent to search the web, summarize data, resolve GitHub issues, and automatically generate Pull Requests.

We will walk through the entire process step by step, including setting up a private repo, generating secure, fine-grained access tokens, installing the GitHub CLI on your virtual machine, and adhering to strict security and budget limits.

🔗 Resources & Links:

Read the full guide and get all the terminal commands on LBSocial, our tutorial and course main website: https://www.lbsocial.net/post/openclaw-github-ai-teammate

Prerequisite Video (Setting up OpenClaw & Gemini on Google Cloud): https://www.youtube.com/watch?v=29uolWUiEvA&t=1s

⏱️ Video Chapters:
00:00 - Introduction & Recap
00:14 - Live Demo: AI Agent Auto-Generating Pull Requests
01:40 - Workflow Architecture (Telegram, OpenClaw, Gemini, GitHub)
02:15 - Setting up a Private GitHub Repository
02:40 - Generating a Secure, Fine-Grained GitHub Token
04:36 - Installing Git & GitHub CLI (gh) via Telegram
05:21 - Securely Passing the API Token to the Virtual Machine
06:36 - Cloning the Repo & Creating a README
07:50 - Assigning GitHub Issues to OpenClaw
08:45 - OpenClaw Writing SVG Code to Fix an Issue
09:36 - Crucial Security Best Practices & Token Budgeting

⚠️ Security Reminder: Always practice the principle of least privilege. Only grant your AI agent the exact permissions it needs, stick to tools you fully understand, and always set a strict API token budget cap to prevent runaway costs from autonomous tasks!

Tags:
#OpenClaw #GeminiAI #GitHub #AIAgent #GoogleCloud #Automation #SoftwareEngineering #CloudComputing #DataAnalysis #AIWorkflow