Discover the DX Core 4, a transformative framework for measuring developer productivity with a focus on speed, effectiveness, quality, and impact. Dive into its comparison with existing frameworks like DORA and SPACE, and learn how it aligns productivity with business goals. Explore the ethical implications of metrics like 'diffs per engineer' and the critical need for clear communication of productivity metrics in business terms. Plus, hear about its successful application in organizations such as Pfizer and the importance of maintaining developer experience while driving progress.

In this engaging discussion, Brian Houck, an Applied Scientist at Microsoft specializing in developer productivity, dives into the nuances of the SPACE framework. He contrasts it with DORA, unpacking misconceptions about productivity metrics. Brian highlights pull request throughput as a critical indicator, emphasizing its role in system health rather than individual performance. The conversation also touches on AI's impact on developer experience and productivity, showcasing innovative approaches to measuring well-being factors like sleep quality that influence performance.

Gilad Turbahn, Head of Developer Productivity at Snowflake, and Amy Yuan, Director of Engineering, share insights on enhancing developer productivity. They highlight the critical involvement of Snowflake's CTO, whose commitment secured team buy-in for initiatives. The duo discusses transforming from a feature-driven approach to focusing on customer outcomes and the significance of collaboration between engineering and product teams. Additionally, they delve into measuring user sentiment to refine their processes, linking improvements in developer satisfaction to business impact.

Emanuel Mueller Ramos, Head of Developer Experience at Skyscanner, shares his insights on transforming his team into a customer-centric powerhouse. He discusses gaining stakeholder buy-in, redefining productivity metrics, and prioritizing developer happiness. Emanuel highlights the importance of feedback loops in shifting from frameworks to a culture of collaboration. He also dives into the intricate balance between platform teams and developer experience, stressing that true success lies in measuring impact rather than just tool adoption.

Industry leaders from GitHub, Airbnb, and Jumio discuss the impact of GenAI tools on developer productivity, exploring AI's evolving role in engineering, overcoming friction points, AI-driven chat assistants reshaping workflows, and the vision for coding.

Jared Wolinsky, VP of Platform Engineering at SiriusXM, discusses revamping their platform with a focus on aligning projects with business goals. He shares insights on boosting developer speed and driving tech advancement. Topics include challenges in transforming their streaming platform, building a new cloud footprint, enhancing developer platform and experience, stakeholder engagement, balancing enablement and platform efforts, and utilizing prioritization frameworks for project ideation.

Michelle Swartz, VP of Developer Enablement at American Express, shares insights on enhancing developer experience. Topics include onboarding bootcamp creation, AmEx Way Library development, balancing standardization and flexibility with Paved Roads, measuring success, fostering community, and elevating tech credibility.

CTO Laura Tacho and CEO Abi Noda discuss DORA, SPACE, and DevEx frameworks, their benefits, and challenges. They share insights on choosing the right framework, using DORA effectively, and practical applications in organizations.

Derek Debellis, lead researcher on Google's DORA team, discusses the science behind DORA's research, including defining outcomes, survey design, model analysis, and survey development. He also talks about the nuances of literature review, benchmarks, and balancing data limitations with method sensitivity.

Sean Mcllroy from Slack's Release Engineering team discusses fully automating deploys and anomaly detection. Topics include the challenges of the deployment process, using Z-scores for anomaly detection, managing noise, automating deployments for efficiency, and handling large deployments to improve reliability.