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Reading: The Leading Ethereum L2 Chain by TVL is Moving to Build its Own Blockchain
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Ethereum

The Leading Ethereum L2 Chain by TVL is Moving to Build its Own Blockchain

Last updated: February 19, 2026 11:10 am
Published: 2 months ago
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Ethereum co-founder publicly questioned the traditional rollup-centric scaling roadmap, arguing that many L2s are struggling to progress while Ethereum’s base layer itself is scaling well enough to handle significant activity. This may have tilted strategic thinking within the Base team.

In a pivotal moment for Ethereum’s Layer-2 ecosystem, the Coinbase Layer 2 Base network, already one of the largest L2 rollups by total value locked, has announced a major architectural overhaul.

After launching in 2023 atop the Optimism OP Stack, Base is now moving to its own unified software architecture, a change with far-reaching implications for upgrade cadence, autonomy and the evolving role of L2 networks in Ethereum’s scaling roadmap.

Coinbase Working on Ethereum Layer 2 Base Blockchain Protocol for On-Chain dApp Development

Previously built on the modular Optimism tech stack, Base’s initial design mirrored that of many Ethereum rollups: use a shared stack to accelerate development and reliability. But the Base engineering team recently confirmed that the network is transitioning off the Optimism stack and onto a single, unified Base codebase, packaged as one official node client and software distribution.

Optimism Launches Toolkit for Developers to Build L2 Blockchains

The shift is meant to achieve several strategic goals:

Importantly, Base has stated it will remain open-source and encourage independent client implementations, keeping the network’s decentralisation posture visible even as it centralises development control.

MILESTONE | Base Surpasses One Million Daily Active Addresses Outpacing the Next Several Ethereum Layer 2s Combined

This technical evolution comes against the backdrop of an operational hiccup earlier in February 2026. Base experienced temporary delays and occasional dropped transactions, traced to a misconfiguration in a change to how transactions propagated through the network.

While the chain never fully went offline, blocks continued to be produced, users did see delays in transactions reaching on-chain inclusion. The Base team rolled back the change, restored stability, and outlined month-long infrastructure upgrades designed to future-proof reliability, including better mempool handling and refined monitoring during rollouts.

That incident, though resolved, underscored the complexity of maintaining an L2 at scale and may have reinforced decisions to tighten control over the codebase and upgrade process.

Base’s shift to an in-house architecture coincides with a broader debate in the Ethereum community about the role of L2s in long-term scalability. Earlier this month, Ethereum Co-Founder, Vitalik Buterin, publicly questioned the traditional rollup-centric scaling roadmap, arguing that many L2s are struggling to progress toward fully decentralised models and that Ethereum’s base layer itself is scaling well enough to handle significant activity.

Buterin’s comments, that “the original vision of L2s and their role no longer makes sense,” sparked spirited reactions from rollup builders. Some, like Optimism’s Karl Floersch and Base’s Jesse Pollak, acknowledged that L2s must evolve beyond simply being “Ethereum but cheaper,” focusing instead on specialisation, unique features, and user-oriented functionality.

Others, like Arbitrum’s Steven Goldfeder, defend the core value of L2 scaling while calling for innovation within that framework.

This debate may have tilted strategic thinking within L2 teams, including Base, toward tighter technical control and differentiated product positioning, rather than treating L2 rollups purely as commodity scalability layers.

For developers, users and ecosystem builders, this shift signals that Layer-2 evolution is entering a more mature phase, one where control of the stack and the ability to differentiate may matter as much as raw throughput.

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