### Bi-Weekly Dev Update:

- **Key Tasks and Features:**
- The week prior was spent on syncing nodes and gathering statistics from the stats analyzer.
- Last week's focus shifted to writing **equivalent implementations** for the top 10 patterns identified through the stats analyzer. These implementations are not yet optimized but allow the system to detect when a pattern is present. For now, they execute the patterns in the regular way, with optimization planned for future iterations.
- PR: https://github.com/NethermindEth/nethermind/pull/7597

- **Testing:**
- Tests have been written for each of the pattern implementations. The tests are designed to check for equivalence between the pattern implementation and the existing EVM code interpretation, ensuring that the patterns behave as expected.

- **Challenges:**
- **Pattern Selection:** A key challenge was ensuring that no pattern was fully included within another, which becomes increasingly difficult as the total number of patterns grows.
- **Testing Difficulties:** The current test suite does not easily detect incorrect pattern implementations. For each pattern, a unique test cases had to be crafted, which added complexity. I also had to ensure that the test case starts with a broken case due to an incorrect implementation and correct it. Several scenarios could falsely indicate that a pattern is correct:
1. **Out of Gas error.**
2. **Spec for the opcode not being enabled.**
3. **Invalid JumpDestination.**
4. **Contention with another pattern.**
- **New Learning Curve:** This is the first time I have actually written and worked directly with bytecode. Previously, the analyzer was focused on gathering NGram statistics, but now I’m dealing with small bytecode snippets. This has been a new challenge for me, as it involved a learning curve to understand and manipulate the bytecode effectively.