The Transformative Power of Generative AI in Software Development: Lessons from Uber's Tech-Wide Hackathon
Adam Hudauber.com
The Transformative Power of Generative AI in Software Development: Lessons from Uber's Tech-Wide Hackathon
Of course, the reality is more complex, and it’s better to think in terms of automation and autocomplete than vertical software and replacing designers, but whole layers of grunt work will be removed, just as they were with GUIs and SQL.
Benedict Evans • Benedict's Newsletter: No. 547
Primary Areas of Business Challenges Addressed by GitHub Copilot
- Developer efficiency and productivity : Improving developer speed and reducing code creation time are central goals. The LLM aims to suggest code completions, functions, and tests, alleviating repetitive tasks and accelerating development cycles.
- Code correctness and security : The L
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That fast turnaround is absolutely critical, because it meant I didn’t need to break focus from the main task at hand. I was trying to write a Prolog interpreter here, not build a debug UI. Without AI support, I would have just muddled through with my existing tools, lacking the time or focus to build a debug UI. Simon Willison says: “AI-enhanced d... See more