SuiGPT

LLM-powered decompiler and beautifier for Sui Move smart contracts.

4.8 (5)

Recenzat de Daniel Nikulshyn·Actualizat mai 2026

Security Audit Smart Contracts LLM Blockchain Developer Tools Decompiler Sui Move

Prezentare

SuiGPT applies large language models to the task of reverse engineering Sui Move smart contracts, turning compiled bytecode back into readable, human-friendly Move source code. It aims to make on-chain logic more transparent for auditors, developers, and researchers working within the Sui ecosystem. Beyond raw decompilation, the tool focuses on code beautification: restoring meaningful variable names, formatting structures, and adding clarity that typical decompilers often lack. This helps users understand contract behavior more quickly when source code isn't publicly available. SuiGPT is particularly useful for security reviews, competitive analysis, and learning how deployed Sui Move modules are constructed.

Funcții cheie

Sui Move bytecode decompilation
LLM-based code beautification
Variable and structure naming hints
Improved readability for audits
Support for on-chain contract analysis

Cazuri de utilizare

Audit unverified Sui Move contracts

Security reviewers can decompile on-chain bytecode into readable Move code to assess contract behavior and uncover potential vulnerabilities.

Competitive analysis of deployed protocols

Developers and researchers can inspect competitor contracts on Sui to understand their logic, mechanics, and design choices without source access.

Learn from production Sui Move code

Move developers can study real deployed contracts with beautified variable names and structure to learn patterns and conventions in the Sui ecosystem.

Investigate suspicious on-chain activity

Analysts can reverse engineer unknown contracts involved in exploits or anomalous transactions to trace logic and clarify what the code actually does.

Pro și contra

Pro

Targets the niche Sui Move ecosystem
LLM-assisted output is more readable than raw decompilation
Useful for audits and on-chain investigation
Speeds up understanding of unverified contracts

Contra

Limited to Sui Move, not general-purpose
LLM output may contain inaccuracies
Decompiled code may not perfectly match original source

Recenzii

4.8

Medie din 5 evaluări.

Conectează-te pentru a lăsa o recenzie.

Margaret Whitfield

Does the job

Pretty happy overall. Improved readability for audits just works and targets the niche Sui Move ecosystem. but no dealbreakers — I'd recommend it to a friend without hesitating.

Naomi Suzuki

Solid for our team

We rolled this out across the team last quarter and lLM-assisted output is more readable than raw decompilation. Variable and structure naming hints fits neatly into how we already work, and sui Move bytecode decompilation removed a step we used to do by hand. LLM output may contain inaccuracies, which is the main caveat, but it has held up under daily use.

Daniel Schmidt

Does the job

Pretty happy overall. LLM-based code beautification just works and useful for audits and on-chain investigation. LLM output may contain inaccuracies can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Nadia Petrova

Use it every day

Honestly didn't expect to like it this much. Sui Move bytecode decompilation is exactly what I needed, and useful for audits and on-chain investigation. but I reach for it almost every day now and it just clicks.

Devin Walker

Does the job

Pretty happy overall. Sui Move bytecode decompilation just works and useful for audits and on-chain investigation. LLM output may contain inaccuracies can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.