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Engineering Enablement
Research and perspectives on developer productivity.
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AI accelerates output, not innovation
September 9th, 2026
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The quality paradox of AI-generated code
September 2nd, 2026
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Code Quality & AI Readiness at Capital One
August 26th, 2026
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Can “Predictable Delivery” be measured?
August 21st, 2026
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Is there a relationship between cycle time and PR throughput?
August 19th, 2026
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AI in engineering: Q2 2026 benchmarks & research readout
August 14th, 2026
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“Your benchmarks don't apply to us"
August 14th, 2026
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DX Annual 2027: San Francisco and London
August 11th, 2026
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How Microsoft sees engineering bottlenecks changing with AI
August 7th, 2026
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What are code reviews even for?
August 5th, 2026
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The unexpected things developer metrics can measure
July 31st, 2026
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Measuring the impact of AI coding tools: Capacity, not horsepower
July 29th, 2026
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Research briefing with Brian Houck: Measuring AI agents and revisiting the Core 4
July 24th, 2026
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The State of AI Impact in Engineering: Q2 2026
July 22nd, 2026
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UKG’s system for driving effective AI use
July 15th, 2026
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Adopting the product operating model at Priceline
July 10th, 2026
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Five studies changing how I think about AI in software engineering
July 10th, 2026
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From dashboards to decisions
July 8th, 2026
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AI and engineering productivity: Debating the headlines
June 29th, 2026
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2x the power users: How structured AI training scaled developer productivity
June 29th, 2026
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