J.A. Akinyele, Senior Director of Engineering at Ripple, has been named one of the speakers for the upcoming XRP event, XRP Seoul 2026. The official XRP Seoul 2026 event X account announced this in a recent post.
Akinyele, the Senior Director of Engineering at Ripple, leads the development of AI, privacy, scalability, and institutional-grade infrastructure for the XRP Ledger and is well-positioned to speak about what comes next for the XRPL ecosystem, driving innovation to advance the next generation of decentralized finance.
The XRP Ledger has just welcomed a major upgrade, version 3.3.0, which introduced six amendments for voting as well as major non-feature amendment changes.
Akinyele joins a rich speaker list for the XRP Seoul event, including Ripple President Monica Long, Markus Infanger, SVP of RippleX, and Chandler Fang, Founder of t54ai.
The XRP Seoul 2026 event, hosted by XRPL Korea with Ripple as Title Sponsor, is scheduled to be held on October 3 at Grand Hyatt Seoul.
XRP Ledger 3.3.0 arrives
XRP Ledger version 3.3.0 has launched, introducing six new amendments for voting, including Confidential Transfer, Batch, Sponsor, Permission Delegation, Dynamic MPT, and fixCleanup, which includes bundled fixes.
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software engineer Mayukha Vadari outlined non-feature-amendment changes in the XRPL version release, including over a 15% reduction in memory usage, improved online_delete performance, and 60 fixes for bugs uncovered by the AI red team effort.
Other changes include assorted small fixes in the fixCleanup3_3_0 amendment, such as deleting expired credentials in Permissioned DEX trades; improved invariants that ensure the XRPL is behaving the way it should; an upgrade from C++20 to C++23; several old amendments that have been activated for over 2 years, such as Clawback, retired to simplify the codebase; and test coverage increased across the repo from 82% to 82.9%.
Vadari added that a large number of little fixes, refactors, and improvements across the codebase and build system were introduced through the upgrade, which are relatively invisible to users and operators but help make xrpld incrementally better and easier to maintain.
