An indie developer shipped 16 versions in 7 hours using Claude AI. This isn't chaos — it's a methodology. Two patterns worth stealing: 3-layer decoupling and AI-compressed research cycles.
Open →Full-pipeline academic research framework for Claude Code covering deep research, paper writing, peer review, and workflow orchestration with human-in-the-loop design
Open →Goldman Sachs' open-source institutional-grade quantitative finance Python SDK covering derivatives pricing, risk management, and backtesting.
Open →Jane Street's Intel PT hardware tracing tool that records every function call at ~40ns resolution with 2-10% overhead. Linux + Intel x86 only.
Open →Converts any codebase or knowledge base into an interactive knowledge graph using tree-sitter static analysis plus LLM semantic reasoning, supporting 15+ AI platforms
Open →