Interview of Marie Alice Blete
summary
Claims a clear shift: AI moves from data science curiosities to everyday software engineering, with engineers using LLMs to build product features, generate docs and conventional commit messages, and wire agents into apps. Lists concrete tools and experiments: GitHub Copilot style dev tools, running a local LLM with oLama in Docker in a few commands, and someone tracking about 2,000 tool subscriptions. Reports work-in-production wins and limitations: automates many tasks but does not fully replace engineers.
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