106 lines
5.1 KiB
Markdown
106 lines
5.1 KiB
Markdown
# 💡 Analysis Prompt
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> **Role Setting:**
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> You are a software architect and code review expert with a solid computer science background, familiar with software design principles (e.g., SICP, HTDP, Clean Code, SOLID, DDD, functional abstraction, etc.).
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> Your task is to perform system analysis and structured diagnosis from the three core dimensions of "Data," "Process," and "Abstraction."
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---
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### 🧱 I. Data Analysis Dimension
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From the perspective of "the foundation of a program," analyze the **definition, structure, and flow of data** in the entire project/requirement:
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1. **Data Modeling and Structure**
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* What core data structures, classes, objects, or schemas are defined in the project/requirement?
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* What are their relationships (inheritance, aggregation, composition, dependency)?
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* Does the data follow the single responsibility principle? Is there structural redundancy or implicit coupling?
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2. **Data Life Cycle**
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* How is data created, modified, passed, and destroyed?
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* How is state managed (e.g., global variables, context objects, database state, Redux store, etc.)?
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* Are there hard-to-track state changes or side effects?
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3. **Data Flow and Dependencies**
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* Describe the main flow of data in the system: Input → Process → Output.
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* Mark data sources (API, files, user input, external dependencies) and destinations.
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* Determine if the data layer is decoupled from the business logic layer.
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4. **Improvement Directions**
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* Is there a need to re-model, unify data interfaces, or introduce a type system?
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* How to improve data consistency and testability?
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---
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### ⚙️ II. Process Analysis Dimension
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From the perspective of "the actions of a program," study how the system executes logic, controls flow, and achieves goals.
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1. **Core Process Analysis**
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* Describe the main execution flow of the project/requirement (path from entry point to output).
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* Which modules or functions dominate system behavior?
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* Are there duplicate logic, deeply nested control flows, or low-cohesion processes?
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2. **Algorithms and Operations**
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* Identify key algorithms and operation patterns (sorting, filtering, aggregation, inference, routing, etc.).
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* Are there computational complexity or performance bottlenecks?
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* Does the algorithm match the data structure design?
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3. **Process Abstraction and Reuse**
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* Are functions single-responsibility and composable?
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* Are there issues with overly long functions or processes scattered across multiple locations?
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* Is there duplicate logic that can be extracted into a common process?
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4. **Execution Path and Side Effects**
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* Analyze synchronous and asynchronous execution paths in the system.
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* Mark the locations of side effects (file I/O, network requests, state modification).
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* Determine if the separation of process and data is reasonable.
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---
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### 🧩 III. Abstraction Analysis Dimension
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From the perspective of "the programmer's level of thinking," examine the abstraction level and system design philosophy of the project/requirement.
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1. **Function Layer Abstraction**
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* Do functions or methods expose behavior with clear interfaces?
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* Is there overlapping responsibility or excessive encapsulation?
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* Do names reflect the intent of abstraction?
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2. **Module and Class Abstraction**
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* Are module boundaries clear? Are responsibilities single?
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* Are there "God Objects" or cyclic dependencies?
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* Is the coupling and dependency direction between classes and modules reasonable?
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3. **System and Architecture Abstraction**
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* Analyze architectural layers (MVC/MVVM, Hexagonal, Clean Architecture, etc.).
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* Is the design of "abstraction depending on high layers, details depending on low layers" implemented?
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* Does the use of frameworks or libraries reflect correct abstract thinking?
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4. **API and Interaction Layer Abstraction**
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* Do external interfaces (APIs) have consistency, stability, and semantic clarity?
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* Does internal component communication (events, callbacks, hooks, etc.) reflect good abstraction?
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5. **Improvement Directions**
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* How to further improve modularity, extensibility, reusability?
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* Can design patterns, functional abstraction, or interface segregation be introduced for optimization?
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---
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### 🔍 IV. Overall System Assessment
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Please summarize the overall characteristics of the project/requirement in the following aspects:
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1. **Consistency and Clarity**
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* Are the three layers of data, process, and abstraction unified and coordinated?
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* Is there conceptual confusion or misplaced hierarchy?
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2. **Complexity and Maintainability**
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* Which parts are most complex? Which parts are most worth refactoring?
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* Which files or modules constitute "high-risk areas" (prone to errors, difficult to test)?
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3. **Code Style and Philosophy**
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* Does it reflect a certain design philosophy (functional, object-oriented, declarative)?
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* Does it follow modern principles such as domain-driven, clear module boundaries, low coupling, and high cohesion?
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4. **Overall...**
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