AI Summary

Overview

This repository provides a comprehensive boilerplate for implementing GenLayer's intelligent contracts, demonstrated through a practical football betting game. It's engineered for robust development, offering a streamlined workflow from rapid local testing to full-scale integration. Built with Python for smart contracts and a production-ready Next.js 15 frontend, this project showcases the power of GenLayer for creating decentralized applications with real-world utility and AI integration.

Key Features

  • Intelligent Contract Development: Includes a fully functional Football Bets intelligent contract with integrated LLM capabilities and web access.
  • Advanced Testing Suite: Features both Direct Mode Tests for lightning-fast, in-memory unit tests (milliseconds per test) and Integration Tests for thorough end-to-end validation against GenLayer Studio.
  • Developer Tooling: Comes with contract linting for static analysis to proactively identify issues, a CI pipeline powered by GitHub Actions, and dedicated TypeScript deployment scripts.
  • Production-Ready Frontend: A modern Next.js 15 application utilizing TypeScript, TanStack Query, and Radix UI, complete with a template configuration file.
  • LLM and Web Integration: Demonstrates how to securely leverage external data and Large Language Models within your smart contracts, ensuring adherence to the equivalence principle.

Typical Use Cases

This boilerplate is ideal for developers looking to build:

  • Decentralized Betting Platforms: Create secure and transparent betting applications on events, sports, or other outcomes, enhanced by AI for prediction analysis or outcome extraction.
  • AI-Powered dApps: Develop intelligent decentralized applications that interact with external APIs and LLMs to provide sophisticated functionalities, such as data validation, content generation, or personalized user experiences.
  • Blockchain Game Development: Prototype and deploy interactive blockchain games that require external data feeds or AI logic for gameplay mechanics.
  • Real-World Asset Integration: Build smart contracts that can interact with real-world data sources to trigger or manage digital assets and processes.

Repository Trajectory

Trended #11 on daily

August 19, 2026

Trended #12 on daily

August 18, 2026

First tracked on GitTrend

August 18, 2026

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Contributors

Languages

TypeScript

60%

CSS

9%

Python

31%