AI coding tools are now part of the conversation in almost every software organization. Sometimes the push comes from developers experimenting on their own. Sometimes it comes from management asking teams to ship faster without increasing headcount. Either way, the discussion quickly runs into the same wall: trust.
What leaves the machine?
Who can access it?
What gets logged, retained, indexed…
It’s been roughly three years since AI tools and large language models (LLMs) hit the mainstream in a real, unavoidable way. In that time, people have put them to work writing emails, summarizing legal documents, generating marketing copy, composing music, tutoring…
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