According to @deanmlittle, a new low-level tweak in the doppler-asm repository cuts execution by 1 compute unit (CU) and trims 16 bytes from the binary, indicating micro-optimizations at the assembly layer that can reduce runtime and code size; source: X post by @deanmlittle (twitter.com/deanmlittle/status/1966766713233395795), source: GitHub blueshift-gg/doppler-asm (github.com/blueshift-gg/doppler-asm). On Solana, prioritization fees are calculated as microlamports-per-CU multiplied by total CUs, so shaving CUs directly lowers per-transaction priority fees for the same priority level, which is trading-relevant for cost-sensitive DeFi execution; source: Solana Docs on prioritization fees (docs.solana.com/transaction_fees#prioritization-fees), source: Solana Compute Budget Program (docs.solana.com/developing/runtime-facilities/programs#compute-budget-program). Reducing binary size can also lower program deploy or upgrade costs on Solana because program accounts must hold a rent-exempt balance proportional to data size, meaning smaller binaries require less SOL locked as rent-exempt collateral; source: Solana Accounts and Rent Exemption (docs.solana.com/developing/programming-model/accounts#rent-exemption), source: Solana Program Deployment overview (docs.solana.com/deploying/programs). Net takeaway for traders: even modest CU and byte-size savings can translate into lower fees and leaner capital requirements when operating on Solana, improving cost efficiency for on-chain strategies during network congestion; source: Solana Docs on prioritization fees and compute budget (docs.solana.com/transaction_fees#prioritization-fees, docs.solana.com/developing/runtime-facilities/programs#compute-budget-program).

According to @deanmlittle, their team optimized onchain programs down to the last compute unit using hand-rolled assembly and called for a polycentric, gatekeeper-free development roadmap to accelerate decentralized innovation. Source: twitter.com/deanmlittle/status/1960032665996050604 Compute Units are the Solana runtime’s meter of program execution, and users can attach a compute-unit price as a priority fee; lowering CU directly reduces fee spend for the same inclusion priority. Source: docs.solana.com Because transactions are constrained by compute budgets and overall block capacity, CU-efficient code fits more work into the same capacity, improving throughput efficiency for onchain activity. Source: docs.solana.com For traders on Solana DeFi, fewer CU per swap or arbitrage route lowers required priority fees to achieve target latency, directly impacting execution costs and slippage control. Source: docs.solana.com

According to @deanmlittle, adversaries are spamming roughly 100k assembly-optimized transaction payloads to MEV other users to the back of the queue, signaling elevated mempool contention and priority fee pressure for on-chain traders; Source: https://twitter.com/deanmlittle/status/1957296880536502457 Such heavy orderflow competition increases the odds of failed transactions, slippage on DEX swaps, and unfavorable execution from front-running and sandwich attacks documented in peer-reviewed research; Source: https://arxiv.org/abs/1904.05234 Traders can mitigate by routing through private or MEV-protected relays and batch-auction protocols to internalize MEV and reduce exposure to mempool sniping; Sources: https://docs.flashbots.net/flashbots-protect/overview and https://docs.cow.fi/ When bot activity spikes, monitor mempool congestion and inclusion latency, and raise tips/priority fees per your chain’s fee market design to maintain execution quality; Source: https://ethereum.org/en/developers/docs/gas/