polymarket-paper-trader vs mini-swe-agent
polymarket-paper-trader: Polymarket Paper Trader provides a zero-risk simulated environment for AI agents to practice and evaluate trading strategies on real prediction market data. It offers faithful market mechanics, including live order books and official fees, to benchmark decision intelligence without financial risk.; mini-swe-agent: Mini-SWE-agent is a lightweight, 100-line AI agent designed to solve GitHub issues and more, offering a simplified yet performant alternative to larger coding agents. It focuses on minimalism, high performance on benchmarks like SWE-bench, and easy deployment across various environments.
TL;DR
Develop and test AI trading strategies against live prediction market data without financial exposure.
- You are researching autonomous software engineering agents and want a radically minimalist, 100-line Python codebase that scores >74% on SWE-bench.
- You want to build or hack custom automated issue-resolution loops without the bloat of massive monorepos or complex tool-calling abstractions.
- You need a polished, interactive daily driver with full terminal UI, undo history, and syntax diff overlays (Aider or Claude Code are built for daily coding).
- You require multi-agent orchestration or enterprise-scale semantic codebase knowledge graphs.
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