The Human Side of AI: Unlocking Opportunity in the New Bottlenecks of Software Development
summary
Early claims of 50% faster prediction fails after tests show coding assistants speed individual devs but simply move the bottleneck to upstream work like reviews, problem clarity, and validation. Organizations use value‑stream mapping, fitness functions in pipelines, and harness/platform engineering (including an internal control plane dogfooded for model cost and governance) to contain token spend and risk. Adoption follows a prepare, manage, sustain change framework, requires visible executive sponsorship, closes a leadership–frontline trust gap, and boosts diverse neurodivergent talent.
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chapters (6)
- 0:00Introduction and speakers
- 3:11Why humans matter in AI
- 12:58New bottlenecks in software
- 24:34Opportunities created by AI
- 34:38Change management framework
- 51:45Redesigning roles and future
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