Rainer Stropek
Livecoding with AI
#1about 3 minutes
Generating HTML and CSS from an image with ChatGPT
An image of a word clock is used as a prompt for ChatGPT-4o to generate the initial HTML structure and CSS layout.
#2about 4 minutes
Using comment-driven development with GitHub Copilot
Natural language comments in TypeScript are used to guide GitHub Copilot's statement completion to generate a time conversion function.
#3about 3 minutes
Inspecting Copilot's network requests with a proxy
A man-in-the-middle proxy reveals how Visual Studio Code sends code context to GitHub Copilot's backend for completion.
#4about 10 minutes
Generating complex logic with GitHub Copilot Chat
GitHub Copilot Chat is used to generate a time-rounding function, revealing its use of GPT-4 and a different system prompt than statement completion.
#5about 3 minutes
Generating unit tests for TypeScript functions
GitHub Copilot is prompted to write a comprehensive suite of unit tests using the Vitest framework for the previously generated functions.
#6about 4 minutes
Generating the core application business logic
The final step involves prompting the AI to generate the complex business logic that maps the current time to the correct words on the clock face.
#7about 3 minutes
Q&A on AI coding assistant limitations and usage
The discussion covers Copilot's limited project context, token limits, the benefits of strictly-typed languages, and free alternatives.
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Matching moments
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Increasing the value of talk recordings post-event
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Organizing a developer conference for 15,000 attendees
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Why corporate AI adoption lags behind the hype
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The future of recruiting beyond talent acquisition
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Rapid-fire thoughts on the future of work
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Moving beyond headcount to solve business problems
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Incentivizing automation with a 'keep what you kill' policy
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