Supercharge your coding: Integrating ChatGPT and Copilot in long-term projects
summary
Shows concrete workflows using ChatGPT to generate and translate a binary search example from Python to JavaScript and GitHub Copilot inside an IDE to suggest imports, variable names, comments and next lines by scanning open files and millions of repositories. Demonstrates that Copilot acts like pair programming but often stalls on tiny codebases and needs education with project context. Claims unit tests and refactors are producible but require review, constant monitoring and iterative prompt engineering rather than blind deployment.
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chapters (8)
- 0:00Introduction and AI overview
- 5:26Misconceptions about AI tools
- 18:43ChatGPT in development workflows
- 23:04GitHub Copilot deep dive
- 33:29Practical AI integration tips
- 39:17Prompt engineering best practices
- 42:23Ethical AI use and future outlook
- 44:08Q&A and closing remarks
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