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the-ethereum-roadmap-merge-surge-verge
Blog

Execution Layer Backward Compatibility Constraints

Ethereum's commitment to backward compatibility is its greatest strength and most crippling weakness. This analysis deconstructs the technical debt embedded in the EVM, quantifying its drag on scalability (The Surge) and state management (The Verge), and explores the painful trade-offs the core devs are forced to make.

introduction
THE EXECUTION CONSTRAINT

The Immovable Object: Backward Compatibility as Ethereum's Sacred Cow

Ethereum's commitment to preserving the EVM and its state model is the primary technical bottleneck for scaling the execution layer.

The EVM is a bottleneck. Its single-threaded execution and 256-bit architecture are inefficient for modern hardware. This design, optimized for simplicity in 2015, now caps throughput and inflates costs for all L2s like Arbitrum and Optimism, which must replicate its constraints.

State growth is unmanageable. The requirement for every node to store the entire world state creates a scalability trilemma. Solutions like Verkle trees or stateless clients are multi-year migrations because they cannot break existing smart contracts on Uniswap or Aave.

Backwards compatibility dictates roadmap. Every major upgrade, from EIP-1559 to The Merge, was constrained by this principle. Proposals for a parallel EVM or native fee abstraction stall because they risk invalidating billions in deployed contract logic.

Evidence: The Dencun upgrade's proto-danksharding (EIP-4844) took years to design. Its complexity stemmed from adding data scaling without altering how the EVM accesses or executes that data, a direct result of backward-compatibility requirements.

EXECUTION LAYER BACKWARD COMPATIBILITY CONSTRAINTS

The Cost of Legacy: EVM vs. Modern VM Trade-offs

A direct comparison of execution environment design choices, quantifying the technical debt of EVM compatibility against the performance gains of modern VMs like Move, FuelVM, and SVM.

Feature / ConstraintLegacy EVM (Ethereum, L2s)Modern VM (Move, FuelVM)Parallel VM (Solana SVM, Aptos)

State Access Model

Sequential (1 op/block)

Predetermined via Bytecode

Parallel via Runtime Analysis

Gas Metering Overhead

~15-30% of Tx Cost

< 5% of Tx Cost

~5-10% of Tx Cost

Max Theoretical TPS (Sustained)

~100-500

10,000

50,000

Native Account Abstraction

Deterministic Fee Markets

WASM Compilation Target

Bytecode Size Limit

24.576 KB

No Practical Limit

No Practical Limit

Precompile Maintenance Burden

High (e.g., EIP-196, EIP-2537)

None (Native Opcodes)

Low (Built-in Programs)

deep-dive
THE BACKWARD COMPATIBILITY TRAP

Deconstructing the Drag: EVM Opcodes, State, and The Verge

Ethereum's execution layer is constrained by its commitment to preserving a deterministic, sequential state machine, creating a fundamental bottleneck for scaling.

EVM's sequential execution model is the primary bottleneck. Every transaction must be processed in a strict, deterministic order to guarantee state consistency, preventing true parallelization like Solana's Sealevel or Sui's parallel execution engine.

State growth is a non-linear tax. The exponential increase in state size, driven by protocols like Uniswap and Lido, degrades node performance and increases sync times, forcing solutions like Verkle trees and state expiry.

Opcodes are a legacy API. The fixed 256-bit word size and gas costs for operations like SSTORE and CALL are artifacts of 2015 hardware, creating inefficiencies that newer VMs like the SVM or Move avoid by design.

Backwards compatibility is a strategic moat. This constraint forces innovation into L2s (Arbitrum, Optimism) and alt-VMs, creating a fragmented but secure ecosystem where the base layer guarantees correctness, not speed.

protocol-spotlight
EXECUTION LAYER CONSTRAINTS

Workarounds & Escape Hatches: How Builders Cope

EVM backward compatibility is a double-edged sword: it ensures network effects but handcuffs innovation. Here's how leading protocols circumvent these limits.

01

The Precompile: A Stateful Sidecar

Precompiles are hardcoded EVM addresses that execute complex logic (like cryptographic operations) in native machine code, bypassing gas-intensive Solidity. They are the ultimate escape hatch for performance-critical functions.

  • Key Benefit: Enables ~1000x faster secp256k1 signature verification versus pure EVM bytecode.
  • Key Benefit: Critical for ZK-Rollups (e.g., Polygon zkEVM) and bridges to verify proofs efficiently on-chain.
~1000x
Faster Ops
Fixed Cost
Gas Model
02

The Proxy Pattern: Upgradable Immutability

Since contract code is immutable post-deployment, builders use proxy contracts (e.g., EIP-1967, UUPS) to separate logic from storage. This allows for bug fixes and upgrades without migrating state.

  • Key Benefit: $100B+ in TVL (e.g., Aave, Compound, Uniswap) relies on this for governance-led upgrades.
  • Key Benefit: Enables modular architecture, where logic contracts can be swapped like LEGO bricks while preserving user balances.
$100B+
Protected TVL
Zero Migrations
User Experience
03

The Gas Token Relayer: Abstracting Transaction Sponsorship

The EVM requires the transaction sender to pay gas, creating UX friction. Relayer networks (like Gelato, Biconomy) and ERC-4337 Account Abstraction let protocols sponsor gas or users pay with ERC-20s.

  • Key Benefit: Enables gasless transactions, critical for onboarding non-crypto-native users.
  • Key Benefit: Unlocks session keys and batch operations, moving complexity off-chain.
Zero Gas
For End User
ERC-4337
Native Standard
04

The Off-Chain Data Oracle: Bypassing 256KB Limit

EVM calldata is expensive and blocks have limited space. Protocols use oracles (Chainlink) and data availability layers (Celestia, EigenDA) to store and attest to data off-chain, bringing only cryptographic commitments on-chain.

  • Key Benefit: Reduces L1 gas costs by >90% for data-heavy applications like prediction markets.
  • Key Benefit: Enables hybrid scaling, where execution is on-chain but data lives on cheaper, specialized layers.
>90%
Gas Saved
Modular Stack
Architecture
05

The State Channel: Deferring Finality for Speed

For high-frequency interactions (gaming, micropayments), on-chain settlement is prohibitive. State channels (e.g., concepts from Raiden, Connext) keep transactions off-chain, using the L1 only as a final arbitration layer.

  • Key Benefit: Enables sub-second finality and near-zero fees for participants.
  • Key Benefit: Provides privacy; only the opening and closing states are broadcast to the public chain.
~500ms
Latency
Near-Zero
Fees
06

The Custom Pre-Deploy: A Layer 2's Secret Weapon

L2s like Optimism and Arbitrum aren't just EVM clones; they deploy custom pre-compiled contracts at genesis (e.g., for fraud proofs or bridging) that have privileged, non-standard capabilities.

  • Key Benefit: Allows native, trust-minimized bridging (e.g., Optimism's L1→L2 messaging) without relying on external, potentially risky contracts.
  • Key Benefit: Creates a governance backdoor for critical network upgrades and emergency pauses, a necessary centralization trade-off.
Native Bridge
Security
Controlled Fork
Capability
future-outlook
THE EXECUTION CONSTRAINT

The Inevitable Fork in the Road: EIP-7702 and Beyond

EIP-7702's design exposes the fundamental tension between innovation and the immutability of the EVM's execution layer.

EIP-7702 is a compatibility patch, not a solution. It uses a temporary EOA wrapper to simulate smart contract wallets, but this is a stateful overlay on a stateless execution model. The core EVM opcodes for transaction validation remain untouched.

The fork is inevitable because the EVM's transaction validity rules are hard-coded. Upgrading them requires a consensus-layer fork, which is politically and technically costly. This is why projects like Starknet and Fuel built new VMs from scratch.

The constraint is economic, not just technical. Every consensus fork risks chain splits and alienates infrastructure like MetaMask and Trezor. EIP-7702 optimizes for the path of least resistance, deferring the systemic overhaul.

Evidence: The Ethereum Foundation's ERC-4337 team explicitly architected Account Abstraction outside the protocol for this reason. Their bundler market exists because changing core execution is a last-resort nuclear option.

takeaways
EXECUTION LAYER BACKWARD COMPATIBILITY

TL;DR for CTOs and Architects

EVM's design constraints are a double-edged sword, forcing a trade-off between innovation and network effects.

01

The EVM is a Hardened Prison

The EVM's immutable opcode set and single-threaded execution are its greatest security asset and primary bottleneck. Upgrades are politically fraught, as seen with EIP-1559 and the difficulty of introducing new precompiles.

  • Security Benefit: Deterministic, auditable state transitions.
  • Innovation Cost: New cryptographic primitives (e.g., BLS signatures, VDFs) require inefficient workarounds or forks.
~150
Opcodes
1
Execution Thread
02

The Precompile Tax

Adding new cryptographic primitives via precompiles is the only sanctioned escape hatch, but it comes with a heavy tax. Each new precompile increases client complexity and creates a permanent maintenance burden for all node operators.

  • Representative Cost: Introducing a BLS12-381 precompile was a multi-year, multi-client coordination effort.
  • Result: Layer 2s (e.g., zkSync, Starknet) often implement their own VMs to bypass this, fracturing composability.
10+
Active Precompiles
Months-Years
Upgrade Timeline
03

Monolithic vs. Modular Trade-off

Backward compatibility forces Ethereum to remain a monolithic execution layer at its core, ceding performance to modular chains. Competitors like Solana and Monad opt for clean-slate, parallelized VMs, accepting the fragmentation risk.

  • EVM's Edge: $50B+ in locked value and tooling network effects.
  • Emerging Solution: Ethereum L2s and EVM-compatible L1s (Avalanche C-Chain, Polygon) act as execution shards, pushing innovation to the periphery.
$50B+
EVM TVL Moat
100k+
Contract Lock-in
04

The Verkle Proof Problem

Statelessness via Verkle Trees is essential for scaling, but requires a fundamental change to how state is accessed. This breaks backward compatibility for existing contracts that rely on specific Merkle-Patricia Trie proofs and gas costs.

  • The Challenge: A hard fork that must not invalidate billions in existing smart contract logic.
  • The Mitigation: Long-term transition periods and client-level abstraction layers, increasing technical debt.
~100x
Proof Size Reduction
2025+
Estimated Timeline
05

Gas Model Inertia

The gas pricing model is a backward compatibility anchor that distorts economic incentives. It cannot accurately price new opcode types or parallel execution, leading to chronic state bloat and MEV.

  • Consequence: Protocols like Uniswap and Compound are optimized for historical gas costs, not optimal design.
  • Innovation Frontier: Alt-VMs (Fuel, SVM) and intent-based architectures (UniswapX, CowSwap) emerge as direct responses to this rigidity.
30M+
Gas/Day
Static
Pricing Model
06

The L2 Escape Velocity

Optimistic Rollups and ZK-Rollups are the ultimate backward compatibility hack. They inherit Ethereum's security and composability while implementing proprietary, upgraded execution environments (e.g., Arbitrum Stylus, zkSync's LLVM).

  • Strategic Insight: The core EVM becomes a settlement and data availability layer, while innovation races ahead on L2s.
  • Risk: Proliferation of custom VMs threatens the "universal solvent" property of Ethereum liquidity, pushing complexity to cross-chain bridges like LayerZero and Across.
10-100x
L2 Throughput Gain
Fragmented
Execution Layer
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