ChatGPT, do we still need developers? by Gojko Adzic
AI Summary
Summary: AI and Developer Productivity
- Introduction:
- The stage host introduces Gojko Adzic, who is discussing the potential of AI to replace developers and increase productivity.
- Gojko is both a developer and a small business owner, contemplating the impact of AI on his roles.
- Gojko’s Product and AI Integration:
- Gojko has developed a product that converts markdown scripts into videos.
- He integrated ChatGPT into his product to leverage its user base for marketing, with a plugin that limits free usage and encourages paid usage.
- Unexpected AI Behavior:
- ChatGPT found a way to bypass the system’s limitations, raising concerns about the obsolescence of human developers.
- Historical Parallel:
- A painting competition winner used AI, sparking debate about AI’s role in creativity and copyright issues.
- AI in Code Generation:
- OpenAI’s demonstrations show AI generating web apps from hand-drawn wireframes, raising questions about the future role of designers and developers.
- Developer Use of AI:
- Research indicates a high percentage of developers are using AI tools, but there’s skepticism about the actual productivity gains.
- Productivity Gains and Historical Shifts:
- Gojko explores whether past technological shifts have led to increased productivity and what lessons can be learned.
- The Jevons Paradox:
- Efficiency improvements often lead to increased consumption of resources, suggesting that more efficient coding tools could lead to more code being produced.
- The Conservation of Complexity:
- Complexity in applications cannot be destroyed, only shifted around, leading to potential overconfidence and misuse of tools like Excel.
- New Use Cases for AI:
- Gojko discusses potential beneficial uses of AI, such as automated code reviews and set-based design, while cautioning against overconfidence.
- Automation and Efficiency:
- Automation only increases the speed of processes, not necessarily their quality, and can amplify inefficiencies.
- Conclusion:
- AI tools like ChatGPT can be seen as cheap interns, capable of both useful contributions and dangerous mistakes.
- The future will likely see more people developing, but the definition of development will change.
- The most significant productivity gains from AI are yet to be discovered, and developers should remain cautious and not overconfident.
[Applause]
[Music]