I used AI to analyze degenai's codebase Here's the codebase: 1. Brief description of recent code progress There have been a large number of high-frequency submissions in the past 6 hours, and the development is active. The main commits involve: merging branches and synchronous updates. Adjust and fix account/accountIds-related services (such as getAccountIdsByPubkey_engine and use account service). Complete modules such as messaging and actions, such as "trader" related function migration, actions splitting and enhancement; Optimized description and log formatting, fixed interface parameters, and other details. Further abstraction and splitting of services such as accounts/users, focusing on code structuring and module decoupling. cleanup/note, fix cache/position, parameter naming, etc. to ensure code robustness and maintainability. 2. Analysis of current code implementation capabilities Account system: Implements a variety of methods to query accounts by public key (getAccountIdsByPubkey_engine/getAccountIdsByPubkeys), and the code module is decoupled, which has strong scalability and easy maintenance. Message and event mechanism: There are adjustments and improvements to key modules such as messaging, actions, and trader automation. Autonomous Trader: Some commits are directly related to the migration and refinement of "trader" actions, indicating that the project supports or is strengthening automated strategies and integrating with external market feeds. Code structure and servitization: "split accounts/users", "service name update", etc., reflecting the in-depth practice of a single responsibility and microservice-style structure. Tool integration capabilities: For example, configure "holder provider, verifyHolder action", combined with holder information detection, suitable for blockchain/dApp scenarios. Equal emphasis on development efficiency and quality: high-frequency iteration, accompanied by cleanup/note, fix, adjustment instructions, writing specifications, and focusing on test points. 3. Main technical characteristics Highly modular and service-oriented: Core modules such as accounts, users, actions, and messaging are split into independent services, making it easy to scale and maintain horizontally. Focus on blockchain/Web3 scenarios: There are functions such as account/holding detection, trader, and market data binding, which are suitable for on-chain automation or wallet services. Outstanding automation and scalability: A large number of actions support automated processes, proactive notifications, and task-based policy execution. Readability and maintainability: The specification commit information and multiple detailed fixes show that the team attaches great importance to code standardization and maintainability. Active Continuous Integration: Recent submissions and mergers show that the project is in a high-intensity R&D stage with strong sustainable delivery capabilities. 🔥 Brief conclusion Spartan currently has solid blockchain account services, automation strategies, module decoupling and service-oriented architecture capabilities, focusing on account management, message/action orchestration and automation, friendly to secondary development and horizontal integration, fast code updates, and well-polished technical details, suitable for Web3/automation, account management, and market monitoring application scenarios. If there are more specific requirements, you can further explore its specific interfaces and implementation logic.