Vijay Khanna, Director of Engineering, RippleX $XRP Ledger AI Crimson Workforce. It culminated within the launch of Ripple model 3.1.3, which hinted at additional enhancements to return.
In his tweet, Khanna emphasised that quite a lot of work went into making the XRPL model 3.1.3 launch protected to deploy to mainnet.
.@msvadari has been our lead hunter all through this purple group effort and has labored exhausting to make sure this launch could be safely deployed to mainnet.
An enormous thanks to UNL operators for upgrading to this model in document time. Additionally, a particular thanks… https://t.co/2bYjp6lhCf
— Vijay Khanna (@vjkhannaripple) Might 29, 2026
Khanna famous that the XRPL model 3.1.3 improve is a begin, including that there’s nonetheless quite a lot of work forward.
The XRPL 3.1.3 model contains bug fixes and enhancements to one of many fixes “fixCleanup3_1_3” which collects fixes for NFTs, permissioned domains, vaults, and lending protocols.
$XRP Crimson group reporting progress powered by Ledger AI
In March, Ripple introduced the creation of a devoted AI-backed purple group to repeatedly seek for vulnerabilities in its programs. $XRP ledger. Two months later, the group led by Ripple software program engineer Mayukha Vadari shared a progress report on the construction of the trouble, the kinds of bugs discovered, and classes realized alongside the way in which.
Crimson groups mix a number of complementary methods with the purpose of catching completely different courses of bugs.
Thus far, the group has printed 287 xrpld points (231 open, 49 closed) on GitHub, with extra points being created frequently as triage continues. These points are primarily code high quality enhancements and defense-in-depth enhancements, and don’t have an effect on system stability, availability, or fund security.
The SDK scan discovered many points throughout a number of language implementations, a few of which have already been patched. There are additionally 44 points printed for xrpl-py, 48 points for xrpl.js, and 126 points for xrpl-rust.
The three.1.3 launch is targeted on safety and bug fixes and in addition contains 20 Crimson Workforce findings throughout a number of classes. It additionally contains some small fixes, a few of which have been found by AI.
What’s subsequent?
The three.1.3 launch was the primary devoted safety launch ensuing from an AI-assisted purple group effort. Future deliberate releases, together with 3.2.0, are anticipated to incorporate extra fixes from the backlog of confirmed findings.
The evaluation has been improved to higher embody interactions between options, and antithesis fault injection checks are run on new launch branches.
Earlier than a brand new repair is activated on mainnet, a extra complete attackathon towards the brand new repair is additionally carried out to boost the safety bar for the brand new repair.
