Reverse-engineering repo REA could hand AI labs vast new coding training data
WrongChoices · reddit · 2026-10-11
A Reddit discussion highlights the trending GitHub project REA, arguing it could dramatically accelerate AI coding capabilities:
- AI agents could systematically reverse-engineer closed-source software, inspect binaries, understand implementations, and reconstruct functionality.
- Labs like DeepSeek and Z.ai could convert previously inaccessible software into massive datasets of real-world engineering problems, solutions, and validation tests — potentially forcing OpenAI and Anthropic to do the same despite legal risks.
- This creates a feedback loop: better AI → better reverse engineering → richer training data → even better AI. If it scales, competition between labs could push coding capabilities faster than current benchmarks suggest.
The claim is speculative but raises questions about training data boundaries and compliance.
Related event: Open-source REA Nears 80k Stars in Three Days, Topping GitHub Trending(6 posts)→
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