How Has AI Changed the Way We Build and Deliver Software
summary
Survey of ~50 organizations representing tens of thousands of engineers shows heavy investment in developer AI with $2.6B raised for code assistant companies and 92% use code assistants (up from 56% a year earlier), but adoption for infrastructure automation stays low at ~20% and only 16% changed processes. Main barriers are generated code quality, compliance, security and cost. 34% say models must ingest logs/traces and RCA history to matter, and forecasts place DevOps as the next frontier for AI-driven tooling.
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chapters (8)
- 0:00Introduction and speaker background
- 1:10AI in software development today
- 3:17Impact on developer workflows and budgets
- 4:39Barriers and future challenges
- 6:05Who AI will impact most
- 7:10Future AI needs for engineering
- 7:51Key takeaways and recommendations
- 9:18AI replacing coding and closing remarks
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