David Fogl: Leveraging Generative AI for Enhanced Software Testing
summary
Demonstrates concrete integrations: Python + OpenAI Code Interpreter runs live analysis, the Robot Framework AI Library ties tests to OpenAI assistants, and a listener-based prototype creates and manages JIRA issues when tests fail. Shows multimodal checks (image comparison, audio/video transcription), test-data generation that yields real addresses, a Make.com Gmail→GPT→Discord workflow, and a claim that juniors delivered a full back-office app in three months with GPT help. Notes limits: 10,000 files, 512 MB per file, and that outcomes require iterative prompting.
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chapters (12)
- 0:00AI in software testing
- 3:18Global AI approaches
- 6:53Emerging AI tools
- 8:18AI testing tips
- 12:57AI for test scenarios
- 14:05AI in automation
- 17:39AI system building blocks
- 21:32OpenAI assistants
- 25:51AI agents in practice
- 28:21Robot Framework + AI
- 32:39Low-code AI automation
- 34:05AI adoption closing
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