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Rachel Laycock

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Verification, Cost, and Speed: What's Next for AI Coding at ScaleCode Remix Summit 20262026-05-11
Panel distills practical claims: verification often costs more than generation so teams use AI to produce test harnesses and deterministic checks (recipe runs…
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The Human Side of AI: Unlocking Opportunity in the New Bottlenecks of Software DevelopmentCode Remix Summit 20262026-05-11
Early claims of 50% faster prediction fails after tests show coding assistants speed individual devs but simply move the bottleneck to upstream work like…
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AI assisted software deliveryXConf China 20232023-08-25
Generative AI promises 20–50% faster coding but code writing is only about 26–27% of software work; experiments with GitHub Copilot (~500 licenses) and Tabnine…
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Microservices: Pros and consO'Reilly Software Architecture Conference 2016: San Francisco2016-11-14
Argues that decentralized governance lets teams pick languages and the right datastores — even Clojure or specialized NoSQL stores — so services fit business…
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Microservices: Pros and consO'Reilly Software Architecture Conference 2016 - London, United Kingdom2016-10-19
Argument lays out concrete claims and concrete headaches: pro side argues for decentralized governance and choosing the right tool for the right job including…
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Continuous Delivery: Tales from WindowslandGOTO Aarhus 20132013-09-30
Claims that Continuous Delivery works on Windows but is harder due to tooling gaps and packaging quirks; recommends use TeamCity or Go as orchestration, avoid…
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