Supported Architectures

Confidence matrix

Kong works with most Ghidra-decompilable binaries. Confidence varies by architecture and source language:

	C	C++	Go	Rust
x86	High	High	Medium	Medium
x86-64	High	High	Medium	Medium
ARM (32-bit)	High	High	Medium	Low
AArch64	High	High	Medium	Low
MIPS	Medium	Medium	Low	Low
PowerPC	Medium	Medium	Low	Low

Confidence definitions

High — Kong reliably decompiles, deobfuscates, and recovers names, types, and structure. Expect 80%+ of functions named with high confidence. Medium — Decompilation is usable but noisier. Expect partial recovery and lower confidence scores. Go and Rust binaries have more complex calling conventions and runtime patterns that reduce accuracy. Low — Decompilation has significant gaps. Results will be incomplete, noisy, or partially unreadable. Kong will still produce output, but expect many low-confidence results.

Scaling considerations

Binary size correlates with:

Function count — more functions = longer analysis
LLM cost — more functions = more API calls
Time to completion — roughly linear with function count

However, larger binaries tend to produce lower average confidence — there are more utility functions, compiler-generated code, and edge cases that are harder to name accurately. See LLM Models & Pricing for cost estimates by binary size.

​Confidence matrix

​Confidence definitions

​Scaling considerations

Confidence matrix

Confidence definitions

Scaling considerations