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Pixels & Protocol | How we 10x Engineering with Ai Code
Manage episode 436660105 series 3549875
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Summary
On his birthday, David DeVore discusses his interest in day trading crypto and finding ways to 10x productivity as an engineer. He introduces the concept of using AI tools, specifically AI-powered code writing, to speed up workflow. The conversation then focuses on Cursor, an AI-powered extension for VS Code, and its ability to provide context-aware code suggestions and generate code snippets. The discussion highlights the time-saving benefits of Cursor and its integration with other tools like Replet. The conversation also touches on the challenges of keeping the AI models up to date with the latest technologies and the importance of human expertise in problem-solving.
Keywords
day trading crypto, 10x productivity, AI tools, AI-powered code writing, Cursor, VS Code extension, context-aware code suggestions, code generation, time-saving benefits, integration with Replet, keeping AI models up to date, human expertise
Takeaways
- Consider day trading crypto as a new venture
- Explore AI tools to 10x productivity as an engineer
- Cursor is an AI-powered extension for VS Code that provides context-aware code suggestions and code generation
- Cursor saves time by eliminating the need to switch between IDE and AI models
- Cursor's Composer feature can generate code for new features and UI components
- Keeping AI models up to date with the latest technologies is a challenge
- Human expertise is still crucial in problem-solving and articulating complex prompts
Titles
- 10x Productivity with AI Tools
- Exploring New Ventures: Day Trading Crypto
Sound Bites
- "What am I going to do this year that I've not done in previous years?"
- "What is the interface between an engineer and AI to really speed up workflow?"
- "Let's unpack Cursor a little bit."
Chapters
00:00
Introduction and Birthday Reflections
02:07
Unpacking Cursor
04:26
Cursor: Always Having Context Available
06:21
Cursor's Composer Feature
08:54
Preloading Context and Documentation
10:43
Challenges of Keeping AI Models Up to Date
15:00
Time Savings and Net New Projects
16:49
The Challenge of Crafting the Right Question
14 episoder
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