AI in Software Development: Boosting Efficiency
summary
Argues that AI complements rather than replaces developers, claiming it can reduce a five‑person team to three by automating routine coding, reviews and tests. Demonstrates ChatGPT, Google Gemini, GitHub Copilot/Copilot Chat/Copilot X, Tabnine, Codium, Poe, OpenAI APIs (GPT‑3.5/4, DALL·E, Whisper), Azure OpenAI, Hugging Face and LangChain. Shows live use: generate and optimize SQL, produce QuickSort JS, auto‑find and fix bugs, translate Visual Basic to Python, create unit tests and refactor. Warns about data privacy and token costs like 1,000 tokens ≈ 750 words.
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chapters (12)
- 0:00AI in software development
- 1:18Will AI replace developers
- 3:50AI tools for developers
- 6:29AI terminology basics
- 12:31Exploring AI-powered chat applications for developers
- 34:36AI chat use cases
- 38:44AI pair programming
- 48:32GitHub Copilot demo
- 56:31AI apps with APIs
- 1:06:31AI platforms overview
- 1:09:16AI tools security
- 1:11:50Q&A
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