<ul data-eligibleForWebStory="true"><li>AI-native engineers are experiencing a range of emotions about AI's impact on their careers, with excitement prevailing.</li><li>AI is viewed as a multiplier of an engineer's capabilities, not just a tool.</li><li>Effective prompting is crucial for quality AI output at every level of engineering experience.</li><li>AI-generated code should be trusted but verified, with thorough review and understanding before implementation.</li><li>AI offers benefits beyond code generation, including aiding in understanding complex topics and architectural patterns.</li><li>Continuous learning is essential for engineers to stay updated with the evolving AI landscape.</li><li>Experimentation with different AI tools and models is recommended to find what works best for individual workflows.</li><li>Building hands-on experience with AI is key to becoming proficient as an AI-native engineer.</li><li>AI can be leveraged not just for code generation but also for various aspects of an engineer's role, like system design and problem-solving.</li><li>The article emphasizes the importance of viewing AI as a valuable tool for engineers in enhancing productivity and problem-solving skills.</li></ul>

Becoming an AI-native engineer

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