An LLM can generate a whole codebase in seconds; understanding it is the slow part. pyreplay makes that first pass fast — top-down: map the whole project at a glance (nothing runs), then record a real run and replay it step by step, zooming from the architecture down to any single variable's value. Self-contained HTML, zero dependencies.
What is the arnoldpredator/pyreplay GitHub project? Description: "An LLM can generate a whole codebase in seconds; understanding it is the slow part. pyreplay makes that first pass fast — top-down: map the whole project at a glance (nothing runs), then record a real run and replay it step by step, zooming from the architecture down to any single variable's value. Self-contained HTML, zero dependencies.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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