Software 2.0: The AI Revolution Across Every Stage of Development
summary
Covers how generative AI (Deep Learning / AI) is applied across the software lifecycle—from rapid concepting and more efficient development to testing/validation and proactive monitoring—to boost quality and speed of delivery. Describes practical use of emerging technologies (deep learning, mixed reality, cloud) to optimize development processes and enable preventive monitoring.
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chapters (18)
- 0:00Introduction
- 2:29AI evolution timeline
- 5:38Foundation models adoption
- 8:28Generative AI in software dev
- 10:12Visual code generation
- 11:16Explaining complex code
- 12:20Code writing and improvement
- 14:06Unit test generation
- 15:33Automatic docs and reviews
- 17:19Vulnerability detection
- 19:47Predictive app monitoring
- 21:54Summary
- 22:57Q&A
- 26:06Data security handling
- 28:32AI learning curve
- 30:19Hallucinations and verification
- 32:27Effective prompt structure
- 34:12Prompting language
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