BrainDAO is building IQ Code, the first AI model for smart contracts. IQ Code is designed to be able to audit code for vulnerabilities helping solve what Vitalik has called Ethereum's biggest technical risk.
IQ Code represents a step forward in the analysis of Solidity smart contracts, combining artificial intelligence (AI) with established static analysis techniques.
With IQ Code, projects will be able to audit their code, lowering the cost to manage projects while keeping up with the standard safety issues. Existing projects will also be able to audit their pre-existing code via IQ Code.
IQ Code is the ultimate smart contract coding tool, the world's first AI model for smart contracts. It boosts coding efficiency, enhances code quality, and provides explanations in markdown. Use it to audit contracts, create vulnerability reports, and check/code faster. IQ Code makes smart contract development smarter, faster, and more secure.
IQ Code represents a comprehensive approach to Solidity smart contract analysis, uniquely combining AI and traditional static analysis techniques. This multifaceted strategy is designed to elevate the precision, depth, and breadth of smart contract automated audits, ensuring robust security and performance in the blockchain ecosystem.
IQ Code v1:
Leveraging Large Language Models and Semantic Search
Large Language Models (LLMs) like ChatGPT and IQ Code use AI to understand and generate text, including code. IQ Code uses its own LLM and can analyse smart contracts for vulnerabilities.
Semantic search looks at context, not just keywords. LLMs benefit from semantic search for more informed analysis of code. Semantic search interprets word meanings to match query intent, not just literal words. It enhances search quality by understanding searcher intent and context, using technologies like machine learning and AI.
Iterative Code Processing
IQ Code employs an iterative approach to code processing to enhance the reasoning capabilities of Large Language Models (LLMs). By guiding the LLM through the code in sequential steps, we pose a series of questions and provide detailed contextual information for each code segment via semantic search. This meticulous method significantly improves the quality of the results.
Incorporating Static Analysis Tools
In addition to the advanced capabilities of Large Language Models (LLMs) and semantic search, IQ Code incorporates proven static analysis tools like Mythril and Slither. These tools establish a reliable basis for detecting known vulnerabilities via systematic code inspection, thereby offering a robust baseline for security assurance.
Enhanced Vulnerability Detection
The synergy between LLMs, semantic search, and static analysis techniques allows for IQ Code to detect both overt security flaws and subtle, complex issues that might be overlooked by traditional methods alone. The combination of methodologies ensures a thorough examination of smart contracts, identifying potential vulnerabilities at both the structural and semantic levels.
Here are some examples of the use cases for IQ Code:
A user asking IQ Code to develop a smart contract to manage proposals and voting within a DAO:
IQ Code being used to audit and find vulnerabilities in smart contracts. IQ Code scans the code and also provides updated contracts for suggestions:
