🧪 Development Testing Simulation

Software testing rarely means running the same checklist once — real quality-assurance tools like AFL and libFuzzer hammer a program with millions of automatically generated inputs, hunting for the rare execution path that crashes it. This simulator visualizes that process as a 3D binary control-flow tree: every execution walks a sequence of branch decisions from an entry node down to one of thousands of possible leaves, and a handful of those leaves silently contain a crash bug. Switch between blackbox random testing, which guesses an entire path from scratch every time, and coverage-guided fuzzing, which keeps any input that discovered new code and mutates it by flipping a single bit — the same core strategy real fuzzers use to turn exponential guesswork into steady, measurable progress. Tune the program's depth and the number of hidden bugs, watch live edge-coverage and crash counters climb, and see directly why coverage feedback is the single most important idea in modern automated testing.