- Zilliqa postponed its 2.0 mainnet launch to April 2025 to enhance community stability and readiness.
- Aventurine proto-mainnet and AI instruments like ElizaOS and GOAT assist put together for the Zilliqa 2.0 transition.
Zilliqa has as soon as once more caught the eye of the crypto group after asserting the postponement of the Zilliqa 2.0 mainnet launch till the top of April 2025. This resolution got here after the workforce carried out a collection of stress checks on the proto-mainnet and tried to align all crucial parts with their ecosystem companions.
Whereas the explanation for the delay sounds affordable, the market didn’t appear to welcome it with a smile. The ZIL token instantly corrected 3.37% within the final 24 hours, dropping to round $0.01102.
Delaying for a Smoother Migration
Behind the choice to delay the preliminary schedule, Zilliqa mentioned that they wished to make sure that all technical points of the brand new protocol have been fully stable earlier than the migration course of was carried out.
🚨Zilliqa 2.0 – Mainnet Migration Replace🚨
We’ve got carried out stress checks on the proto-mainnet and intensified alignment with our ecosystem companions to make sure they’re well-prepared for the mainnet launch. Primarily based on the outcomes, we’re taking the chance to push again the…
— Zilliqa (@zilliqa) March 28, 2025
This course of entails audits, function testing, and making certain that every one components, each these developed internally and by companions, are able to function. Within the blockchain world, the migration course of is like renovating a home that you just nonetheless wish to reside in—all the pieces have to be checked rigorously in order that it doesn’t trigger harm when occupied.
“This adjustment permits us to deal with strengthening the steadiness of the protocol and guarantee all important parts constructed by ourselves or our companions are in place, well-tested, and audited as required,” the Zilliqa workforce mentioned in an official announcement.
They hope that this cautious strategy will lead to a safer and smoother migration for the whole person and developer group.
Zilliqa Units the Stage With Aventurine
If we return to December 2024, Zilliqa has really ready the preliminary groundwork by launching Aventurine, a proto-mainnet designed as a testbed for the know-how that can be applied in Zilliqa 2.0. Earlier than new options are put into use on the primary operation, builders, validators, and delegators can check them on the market.
Aventurine permits the workforce to evaluate the system’s strengths and weaknesses early on and tackle any points earlier than it’s too late. Consider it as a observe run earlier than a significant check. Along with decreasing threat, this tactic permits the group time to adapt to the modifications.
AI Enters the Zilliqa Ecosystem
Nonetheless, by incorporating AI know-how into their ecosystem, Zilliqa seems to be rising. The CNF report reveals ElizaOS began permitting on-chain actions on Zilliqa in late January. This help lets synthetic intelligence brokers run DeFi functions, ship transactions, and management property autonomously.
Moreover, this step paves the way in which for extra intensive automation within the domains of decentralized functions, buying and selling, and portfolio administration. If customers used to need to manually formulate DeFi methods, now all the pieces might be programmed extra intelligently. It appears like having a private assistant who is aware of when the most effective time is to swap, stake, or withdraw funds.
Simplifying Good dApps With GOAT
Not solely that, Zilliqa additionally strengthens its AI basis by the combination of GOAT, a device designed to facilitate the event of AI functions on the blockchain. GOAT helps connections to EVM and Scilla wallets, making it simpler for builders to construct functions which are instantly related to AI.
In different phrases, a beforehand difficult and winding course of is now accessible to extra folks with out having to be a blockchain engineer first.
 
					 
							











 
			



 
                                 
                              
		 
		 
		 
		 
		 
		