Running through a block-by-block backtest right now, and diving deep into Anchor programs specifically.

Got an interesting workflow going—using AI assistance to methodically review each program one by one. The idea is to leverage machine learning for code analysis and optimization, working through the logic systematically rather than relying on manual spot checks.

It's pretty novel territory honestly. Having an AI model actively collaborate on Solana smart contract deployment and verification at this level of detail—that's something we don't see shipped often in production environments. The granular approach to testing each Anchor program sequentially should catch edge cases that traditional audits might miss.

Curious to see how this accelerates our development cycle.