BuddyPie
Mao Mao's Team
Problem Statement
Using AI coding agents today requires a local machine with the right setup. You need the CLI installed, API keys configured, the right model selected, and a dev environment that can actually run the agent. If your laptop is closed, the agent stops. If you switch machines, you start over. Most people who would benefit from these agents never get past the setup. BuddyPie removes that barrier. You get access to a library of pre-configured agent presets (general engineering, frontend, docs writing) running in isolated cloud sandboxes, directly from your browser. No local setup, no machine dependency. The agent clones your repo, reads the codebase, does the work on a dedicated branch, and pushes it when it's done. You open a PR whenever you're ready. Billing is flexible: credits, micropayments, or onchain delegated budgets, so you pay the way that works for you.
Right now, if you want a good AI coding agent, you need your own machine, your own API keys, your own setup. You install the CLI, configure the model, wire up the environment, and hope it all works. BuddyPie skips all of that. You open your browser, pick a repo, choose an agent preset, and hit launch. A cloud sandbox spins up with the agent already inside, working on your code. You watch it through a browser-based IDE, or you walk away and come back when it's done. Three ways to pay: subscription credits if you want a monthly budget, x402 micropayments on Base if you want pay-per-session, or a delegated USDC budget through MetaMask Delegation Toolkit if you want to approve a spending cap once and never see a wallet prompt again.
Build Timeline
Team
Mao Mao
admin
Increase your chances to win
- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Intention
Plans to continue