https://www.infoq.com InfoQ Culture & Methods Presentations feed https://www.infoq.com/presentations/ai-software-engineering-pipeline/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Culture+%26+Methods-presentations <img src="https://res.infoq.com/presentations/ai-software-engineering-pipeline/en/mediumimage/alasdair-allan-medium-1791451156021.jpeg"/><p>Alasdair Allan discusses empirical research from METR and Anthropic on AI coding adoption. He explains the "supervision paradox," where reliance on AI tools disrupts junior skill development, risks institutional context loss, and threatens the long-term engineering pipeline needed to oversee autonomous systems effectively.</p> <i>By Alasdair Allan</i> Code Reviews Leadership Claude Context Engineering QCon London 2026 AI Coding Anthropic Careers Transcripts Productivity AI, ML & Data Engineering Development Culture & Methods Architecture & Design presentation Fri, 30 Oct 2026 11:00:00 GMT https://www.infoq.com/presentations/ai-software-engineering-pipeline/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Culture+%26+Methods-presentations Alasdair Allan 2026-10-30T11:00:00Z /presentations/ai-software-engineering-pipeline/en