Introducing Amazon CodeWhisperer, the ML-powered Coding Companion - AWS Online Tech Talks

Although the cloud has democratized application development by giving on-demand access to compute, storage, database, analytics, and ML, the traditional process of building software applications still requires developers to spend significant time searching for documentation and code samples instead of focusing on core problems. As a result, more automated practices are needed to help developers find relevant code, meet coding best practices, and explore new APIs without leaving their development environment. Join this session to learn how ML-powered Amazon CodeWhisperer can help increase developer productivity by providing code recommendations in real time based on plain English comments and existing code.

Learning Objectives:
Objective 1: Accelerate application development with ML-powered code recommendation.
Objective 2: Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects.
Objective 3: Empower developers to responsibly use artificial intelligence (AI) to create syntactically correct and secure applications.

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