Impact of #GenerativeAI in Development and #SoftwareTesting
summary
Generative AI sits at the hype peak and demonstrably speeds UI design (Figma/Galileo), code and recommendation-model scaffolding (ChatGPT) and even one-minute video creation (Sora/Midjourney), while a demo agent (Devon) assembles, debugs and browsers docs end-to-end. Production brings scale, observability and security guardrails; training costs make RAG + LLM agents the practical route and prompt work essential. Expect most projects to use prompt engineering and orchestration like LangChain/LlamaIndex rather than costly fine-tuning—about 80–90% of common use cases.
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chapters (8)
- 0:00Introduction
- 3:12Mood Poll
- 5:25Human Creativity
- 6:44Software Development Life Cycle
- 7:52Aggregation of Tasks
- 10:31What do I see
- 14:07What to do
- 21:11Conclusion
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