In this episode we discuss The Impact Of AI On Software Engineering with:

Nack Kyoo Jun, CTO at Influur

Michael Lehmbeck, CTO at BankUnited

Zach Wills, Head of Engineering at Haven

Takeaways

• AI tools like GitHub Copilot and Cursor have significantly impacted software engineering workflows, increasing efficiency and reducing human errors.
• Proper training and caution are necessary when using AI tools to ensure the generated code is accurate and safe.
• There is pressure from investors and businesses to incorporate AI into products and achieve greater efficiency.
• Data quality is crucial for successful AI adoption, and organizations need to assess their readiness for AI implementation.
• AI can also enhance non-technical aspects of software development, such as documentation and task management. AI has eliminated the need for manual note-taking in meetings, saving time and improving efficiency.
• AI tools like ChatGPT have been used for code generation, data visualization, and written documentation.
• The introduction of AI has raised the bar for hiring and made it harder for underperformers.
• In the future, junior engineering roles may become less common, and prompt engineering skills will be in high demand.
• More domain-specific AI models are expected to be developed, and AI skills will be integrated into various roles.