96% of developers don't trust AI-generated code.

Yet almost half of them are committing it anyway.

That is not a confidence gap. That is a governance crisis hiding inside a productivity narrative.

This week's edition of www.Datapro.News digs into what the empirical data actually shows about AI agents and code development, and the findings should give any data professional pause.

Here is what caught our attention during the research:

👉🏼 A randomised controlled trial found developers with AI assistance felt 20% faster. Measured productivity showed a 19% slowdown on complex codebases. The gap between perception and reality is almost 40 percentage points.

🧐 Gartner projects that over 40% of agentic AI projects will be cancelled by 2027. The reason cited is not the technology. It is inadequate risk controls and a culture of measuring success through demos rather than production outcomes.

🧑🏽‍💻 Junior developer job postings are down 40 to 50% since early 2024. The apprenticeship pipeline that produced the senior engineers capable of verifying AI output is quietly being dismantled.

If your organisation is building an AI-assisted engineering strategy, or governing the data that feeds one, this week's edition is worth your time 👇🏼

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