Reverse engineer anything with agents, from app behavior down to native binaries.
github.com/morluto/reaIndexed at 28713f9Up to date with upstream
REA is a codebase documentation and reverse-engineering engine that lets you “reverse engineer anything” end-to-end by ingesting a target (a JavaScript/Electron tree or ASAR, plus optional native binaries or managed artifacts) and producing explanation-grade outputs through static inspection, provider-backed deep analysis, and evidence-aware result synthesis surfaced via MCP and a web UI. It’s designed for operators and agent workflows: inputs flow from discovery and extraction into analysis plans (by provider and profile), then into managed evidence and canonical artifacts, and finally into queryable pages and agent-visible answers.
Written by gpt-5.4-nano from the index
1,719 files and 10,379 symbols in 8 modules, led by TypeScript (1,429 files) and JavaScript (147).
Code health
This codebase scores 7.9 out of 10 for code health, which we rate good. It also scores maintainability 8.5 and static performance 9.9 out of 10. The three are scored separately and never blended into one number. Risk is concentrated, as it usually is: 413 of 1,719 files are git hotspots, and they average 6.8 — which is where the fixes pay off most.
1 thing worth doing in the week to Oct 7, the last indexed commit, 1 of them now.
Clean up what this week's commits left: 60 serious findings in 41 files
23 commits in the last 7 days added or worsened them, and they are still open. Start with src/domain/interfaceBuilderKeyedArchive.ts, which has 2 critical.
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[](https://repowise.dev/repo/morluto/rea?src=badge_card)Reverse engineer anything with agents, from app behavior down to native binaries. This page is a map of the morluto/rea repository, written primarily in TypeScript, rebuilt from the source each time it is indexed. Repowise parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the architectural decisions into documentation you can read here or query through MCP.
The codebase has 1,719 files and 10,379 symbols in 8 modules, led by TypeScript, JavaScript and Java. Code health is 7.9 out of 10, rated good.
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