Explorando possíveis implementações de recursos

Quando encarregados de implementar novos recursos ou aprimorar os existentes, os desenvolvedores geralmente enfrentam decisões sobre a melhor abordagem a ser tomada. O Copilot Chat pode ajudar analisando o problema e gerando opções de implementação para que você possa explorar várias soluções.

Cenário de exemplo

Você recebe a tarefa de criar um recurso que mostra os itens exibidos mais recentemente em um painel do usuário. Veja abaixo um exemplo de problema para implementar essa funcionalidade:

[Feature Request] Add "Recent Items" section to user dashboard #753

## Issue Description
Users have requested a "Recent Items" section on their dashboard to quickly access the most recently viewed documents, projects, or files. This section should display the ten most recent items, sorted by the last access time.

## Requirements
* Display up to ten items that the user has accessed recently.
* Items must be sorted by the time they were last accessed.
* The solution should minimize database load.
* Data should reflect updates in near real-time.
* The solution should prioritize performance, especially for large datasets of items.

## Acceptance Criteria
* Dashboard loads the "Recent Items" section within 200ms under normal load.
* The solution must not degrade performance for users with thousands of items.

Solicitação de exemplo

Você quer avaliar diferentes abordagens para essa implementação para ver se elas se ajustam às suas necessidades e restrições. Aqui, vamos solicitar que o Copilot Chat sugira diferentes abordagens.

Navegue até o problema e digite:

Given the criteria in Issue #753, list options for implementation and tradeoffs for each option.

Exemplo de resposta

O Copilot lista várias opções diferentes para implementar esse painel, juntamente com os lados positivos e negativos de cada opção. Em seguida, ele faz uma recomendação.

Por exemplo:

# Implementation Options and Tradeoffs for "Recent Items" Section

## 1. Client-Side Storage

- Description: Store recent items data in the user's browser using LocalStorage or IndexedDB.
- Tradeoffs:
  - Pros:
    - Reduces server load by handling data storage and retrieval on the client side.
    - Immediate updates and access without server communication.
  - Cons:
    - Limited by browser storage capacity.
    - Data lost if the user clears browser storage or switches devices.
    - Security concerns with storing sensitive data on the client side.

## 2. Server-Side Storage with Database Indexing

- Description: Store recent items in the database and use indexing to quickly retrieve the most recent items.
- Tradeoffs:
  - Pros:
    - Centralized data storage, accessible from any device.
    - Scalable and can handle large datasets efficiently with proper indexing.
  - Cons:
    - Increased database load, especially for frequent access updates.
    - Potential latency in updating the recent items list.

## 3. In-Memory Caching (e.g., Redis)

- Description: Use an in-memory data store like Redis to cache recent items for fast retrieval.
- Tradeoffs:
  - Pros:
    - Extremely fast data access and updates.
    - Reduces database load by offloading frequent read operations.
  - Cons:
    - Requires additional infrastructure and maintenance.
    - Data may be lost if the cache is cleared or server restarts.

## 4. Hybrid Approach

- Description: Combine server-side storage with in-memory caching to balance performance and persistence.
- Tradeoffs:
  - Pros:
    - Fast access through caching, with persistent storage in the database.
    - Can handle large datasets and frequent updates efficiently.
  - Cons:
    - Increased complexity in implementation and maintenance.
    - Potential consistency issues between cache and database.

## 5. Event-Driven Updates

- Description: Use event-driven architecture to update recent items in real-time as users access documents.
- Tradeoffs:
  - Pros:
    - Near real-time updates with minimal delay.
    - Efficient handling of updates through events rather than periodic polling.
  - Cons:
    - Requires setting up event handling infrastructure (e.g., message queues).
    - Increased complexity in managing events and ensuring consistency.

## Recommendation

The hybrid approach (option 4) is a balanced solution, offering fast access through caching and persistence through database storage. It meets performance requirements and scales well with a large dataset, although it involves a more complex implementation.

Leitura adicional

• "Engenharia de prompts para o GitHub Copilot"
• "Melhores práticas para usar o GitHub Copilot"