The show focused on developer productivity and the teams and leaders dedicated to improving it. Each episode features in-depth interviews with Platform and DevEx teams, along with the latest research and approaches for measuring developer productivity. Presented by DX (getdx.com), the developer intelligence platform designed by researchers.
Diff authoring time (DAT) serves as a critical metric for quantifying the active effort developers spend on engineering, reviewing, and testing code changes. By tracking these units of work with high precision, organizations can conduct controlled A/B experiments on development tools and frameworks, shifting engineerin...
AI integration in software development amplifies existing organizational strengths and weaknesses, making foundational engineering principles more critical than ever. Rather than replacing core skills, AI necessitates a shift toward clearer communication, design intent, and problem definition. While AI excels at refact...
AI adoption in software engineering has reached near-saturation, shifting the industry focus from simple usage to the sophistication of AI integration. While PR throughput and developer time savings continue to climb, these gains are accompanied by a concerning increase in PR size and volatility, which threatens code m...
Priceline’s transition to a product operating model centers on aligning organizational structure with developer experience to eliminate functional silos and improve delivery speed. By moving from a project-based approach to autonomous, product-aligned teams, the organization empowers engineers to identify and resolve b...
AI integration in software development functions primarily as an amplifier of existing engineering workflows rather than a direct replacement for human developers. While AI accelerates code generation, the primary bottlenecks in software delivery remain organizational factors like planning, prioritization, and human co...
Mercari’s transition to an AI-native organization reveals that AI adoption is not a finish line but a catalyst for exposing deep-seated organizational bottlenecks. While AI significantly accelerates coding, it often hits friction in legacy systems, manual approval gates, and fragile CI/CD pipelines, leading to a "W cur...
Platform engineering teams often struggle to prioritize work without clear revenue-linked metrics. SiriusXM addressed this by developing a weighted prioritization formula incorporating seven impact factors: development speed, runtime reliability, security, cost reduction, platform efficiency, user trust, and data-drive...
AI adoption in software engineering yields modest productivity gains, with organizations reporting a median 8% increase in pull request throughput rather than the anticipated exponential growth. Because coding occupies only 14% of a developer's total time, AI-driven improvements to code generation have a limited impact...
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