What common languages and frameworks does Tencent Cloud AI Code Assistant support?

Tencent Cloud AI Code Assistant supports a variety of common programming languages and frameworks to assist developers in writing, debugging, and optimizing code.

Supported Languages:

• General-purpose languages: Python, JavaScript, Java, C++, C#, Go, PHP, TypeScript, Ruby, Swift, Kotlin, Rust, etc.
• Scripting & Markup: HTML, CSS, Shell, SQL, JSON, YAML, XML, Markdown, etc.

Supported Frameworks & Libraries:

• Web Development: React, Angular, Vue.js, Django, Flask, Spring Boot, Express.js, etc.
• Data Science & AI: TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, Pandas, Matplotlib, etc.
• Backend & Cloud-Native: Node.js, FastAPI, Serverless Framework, Kubernetes (K8s), Docker, Terraform, etc.
• Mobile Development: React Native, Flutter, Swift (iOS), Kotlin (Android), etc.

Example Use Case:

If you’re working on a Python-based machine learning project using TensorFlow, the assistant can help with code completion, error detection, and optimization suggestions. For instance:

import tensorflow as tf  
model = tf.keras.Sequential([  
    tf.keras.layers.Dense(128, activation='relu'),  
    tf.keras.layers.Dense(10)  
])  
# The assistant might suggest adding `model.compile()` or recommend hyperparameter tuning.  

For cloud-related development, Tencent Cloud offers services like Cloud Development (TCB) and Serverless Cloud Function (SCF), which integrate seamlessly with AI-powered coding assistance to streamline cloud-native application development.