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
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.