Ripple Trims XRPL Codebase and Conducts AI Audits for Native Lending
Ripple is reducing XRP Ledger codebase complexity by 10,000 lines while testing its native lending protocol using AI audits.
Ripple has initiated steps to minimize the attack surface of the XRP Ledger (XRPL) by recommending the removal of over 10,000 lines of unused XChainBridge code. Simultaneously, the network's upcoming Lending Protocol V1.1 is undergoing automated security testing via Sherlock's AI-driven audit engine.
The codebase cleanup and automated review come as XRPL prepares to support native decentralized lending capabilities. Reducing redundant smart contract code helps mitigate exploit risks ahead of high-value protocol launches.
Strengthening smart contract security is critical for XRPL as it attempts to capture institutional and retail DeFi market share. Efficient codebase management and automated verification could accelerate safe protocol rollouts on the network.
Key takeaways
- Ripple proposed removing over 10,000 lines of unused bridge code from XRPL.
- Lending Protocol V1.1 is undergoing AI-assisted security reviews via Sherlock.
- The updates aim to reduce vulnerability risks ahead of native DeFi lending deployment.