Ethereum’s long-range protocol roadmap may move faster than many expect as AI tools improve, according to Vitalik Buterin, who pointed to recent experiments that used agent code to compile an ambitious reference client that includes a large portion of Ethereum’s planned architecture for the 2030s.
The comments came after developer Jiayao Qi, posting as YQ by X, unveiled ETH2030, an experimental Ethereum client designed to target the network’s “2030+” draft roadmap. This project weighs in at 702,000 lines of Go, includes 65 road objects in all eight stages, passed the official Ethereum test of 36,126, and can synchronize with the mainnet by integrating with go-ethereum v1.17.0. Qi said the client was built in about six days using Claude Code for about $5,750 and 2.77 billion tokens.
AI can accelerate the Ethereum Roadmap
Buterin called the effort an “impressive experiment,” while stressing that a prototype built at that speed comes with obvious limitations. “Something like that built in two weeks without having EIPs has serious caveats,” he wrote. “There are probably a lot of serious bugs, and maybe in some cases ‘stub’ versions of something where the AI didn’t try to make a perfect version. But six months ago, this was also very much out of the realm of possibility, and what matters is where this trend is going.”
That difference is more important to Buterin than the green demo itself. In his view, AI is not only about compressing development time. It could change the way Ethereum developers approach authentication. “Maybe, the right way to use it, is to take part of the benefits from AI in speed, and part of the benefits in security,” he said. “Generate a lot of test cases, validate everything, do a lot of things that are used.”
He tied that directly to the ongoing legal verification work surrounding Ethereum. Referring to the Lean Ethereum effort, Buterin said that one participant has already used AI to generate a machine-verifiable proof of a complex theorem that underpins STARK’s security. “The core tenet of @leanethereum is to legitimize everything, and AI is greatly accelerating our ability to do that,” he wrote. “Besides formal validation, simply being able to generate a large number of test cases is also important.”
ETH2030 itself was introduced less as a candidate client than a road stress test. Qi repeatedly positioned it as a rigid framework, not production software, and argued that its value lies in forcing difficult engineering questions to surface now rather than years from now.
The roadmap, as implemented in the project, aims for a version of Ethereum with 10,000-plus TPS in L1, completion in seconds instead of 15 minutes, solo staking of 1 ETH, stateless nodes running on $7 Raspberry Pi, and more than 1 million TPS across L1 and L2. But the experiment also revealed a deeper connection between the development, from the block access list and the gas price to PeerDAS, native rollups and fast endpoint.
Qi wasn’t specific about the gaps. The production code of Pure-Go cryptographic lag is generated by about 10x to 100x, the concept of consensus has not been battle-tested in a live beacon chain, and the jump from about 5 million gas per second today to the target of 1 billion gas per second remains highly speculative under real-world MEV and contract dependency patterns.
Buterin didn’t say AI would make those problems disappear. In fact, he warned against expecting a secure protocol from a single notification. “There will be a lot of fighting with bugs and inconsistencies between implementations,” he wrote. “But even that wrestling can happen 5x faster and 10x more fully.”
That, in addition to the title numbers, is the point now in front of Ethereum researchers and client groups. If AI can accelerate both implementation and validation, the roadmap may not be just a sketch of distant architecture. As Buterin puts it, people should at least be open to the “possibility” that Ethereum’s road could be completed “much faster than people expect, with a much higher level of security than people expect.”
At press time, ETH traded at $1,956.
The featured image was created with DALL.E, a chart from TradingView.com
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