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Agent Snape - Your GitHub partner

#devchallenge #ai #authentication #auth0challenge

This is a submission for the Auth0 for AI Agents Challenge

What I Built

I built Snape, an AI agent that can manage your GitHub account — from listing repositories to performing actions like checking issues or commits — all through natural language prompts.

Instead of typing out API calls or clicking through dashboards, users can simply say things like:

  • “List my private repos from the Snape workspace”
  • “Show me the open issues in my nextjs project”

Snape will understand your intent, securely fetch the data using your GitHub access, and respond conversationally.

The AI is workspace-aware — meaning different teams or users can manage their own connected GitHub accounts separately, with proper permission checks.

Demo

Agent Snape Web application
GitHub repositories

How I Used Auth0 for AI Agents

Auth0 acts as the secure bridge between users, their GitHub accounts, and the AI agent.

  1. Authentication — Users log in through Auth0’s GitHub social connection.

  2. Authorization — The AI receives an Auth0-managed access token, which is stored securely inside a workspace document.

  3. Permission Control — Each workspace defines roles and permissions, and the AI only accesses GitHub data if the user’s email is in a role that has the correct permission (e.g. read_repo).

  4. Tool Invocation — The agent uses AI SDK’s tool calling to decide when to call the listRepo tool, which internally validates the user’s access and securely interacts with the GitHub API.

Essentially, Auth0 provides identity and security, while the AI handles reasoning and execution — forming a clean separation of duties.

🧩 Tech Stack

  • Next.js 15 + Server Actions
  • Auth0 for secure authentication
  • MongoDB for workspace management
  • Octokit for GitHub API access
  • AI SDK + Hugging Face Llama 3.1 for tool-calling intelligence

Lessons Learned and Takeaways

  • AI Agents need context boundaries — giving the agent workspace-level context helps prevent accidental data access across users.

  • Auth0 simplifies trust — handling authentication and token management through Auth0 saved huge development time and security headaches.

  • Tool calling is powerful — teaching the model to call custom tools like listRepo feels like giving the AI actual “superpowers.”

  • Learned to balance reasoning and control — the agent should think creatively but still follow strict permission rules.

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