Artificial intelligence in software development: current technologies and prospects
summary
Overview of current AI technologies used in software development, focusing on architectures and operation illustrated by the product GigaCode. Covers problem groups solved by AI, which development metrics improve after integrating AI, and discusses future prospects for AI solutions in software engineering.
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chapters (19)
- 0:00Introduction
- 3:39AI assistant criteria
- 5:04AI evolution in development
- 6:05AI system architecture
- 7:52What is RAG
- 9:36Pipeline and business logic
- 10:21Context enrichment
- 12:26Generation layer and hardware
- 16:19AI near future
- 18:30AI assistant capabilities
- 20:48Teams and agents
- 22:13Test generation
- 24:42Multi-file editing
- 27:11AI development future
- 28:13Multi-agent systems
- 29:06Model agnostic diagnostics
- 30:31Summary and prospects
- 33:00Why AI in development
- 35:07Q&A
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