Embrace Incremental Improvements

Understand that while AI tools may not drastically change overnight, discovering better ways to utilize them can lead to significant productivity gains.

Utilize Chain of Thought Prompting

Encourage models to "think step by step" when solving problems, which often improves accuracy and results.

Focus on System Design and QA

Prioritize skills in system design and quality assurance over mere coding speed. These areas remain crucial as AI handles more routine tasks.

Ask the Right Questions

Frame queries effectively to get the best responses from AI tools. For instance, request options or alternatives rather than definitive answers.

Internal Hack Days

Advocate for internal hack days at work to explore personal projects using AI tools, fostering creativity and innovation.

Side Projects

Engage in side projects to experiment with AI tools in low-stakes environments, enhancing learning and skill development.

Combine Expertise

Leverage existing programming knowledge with AI capabilities to outperform those without coding experience, creating a competitive advantage.

Ethical Considerations

Stay aware of the ethical implications of AI use, particularly regarding data sources and the impact on traditional roles in the industry.