Accelerating DevOps with AI
summary
Built an AI pipeline that reads repository files, commit history, logs and release notes to produce contextual AI code reviews, generate test cases and orchestrate tool workflows via APIs. It stores embeddings in a vector search store and runs agent orchestration to call systems like Salesforce and Notion official API. Results show about 25% less manual test prep time and roughly 7% of test cases auto-generated including edge cases, enabling feature‑level deploys and lower CI costs.
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chapters (7)
- 0:00Introduction and context
- 4:24Meet the speakers
- 11:10AI agents in DevOps
- 13:43AI code review benefits
- 17:40Manual testing time savings
- 20:37Release automation impact
- 25:12Closing and Q&A
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