LLMs and Generative AI in the enterprise.
Inspire, develop, and guide a winning organization.
Understand the unique values and behaviors of a successful organization.
Create visible workflows to achieve well-architected software.
Understand and use meaningful data to measure success.
Integrate and automate quality, security, and compliance into daily work.
An on-demand learning experience from the people who brought you The Phoenix Project, Team Topologies, Accelerate, and more.
Learn how to enhance collaboration and performance in large-scale organizations through Flow Engineering
Learn how making work visible, value stream management, and flow metrics can affect change in your organization.
Clarify team interactions for fast flow using simple sense-making approaches and tools.
Multiple award-winning CTO, researcher, and bestselling author Gene Kim hosts enterprise technology and business leaders.
In the first part of this two-part episode of The Idealcast, Gene Kim speaks with Dr. Ron Westrum, Emeritus Professor of Sociology at Eastern Michigan University.
In the first episode of Season 2 of The Idealcast, Gene Kim speaks with Admiral John Richardson, who served as Chief of Naval Operations for four years.
Exploring the impact of GenAI in our organizations & creating business impact through technology leadership.
DevOps best practices, case studies, organizational change, ways of working, and the latest thinking affecting business and technology leadership.
The debate over in-office versus remote work misses a fundamental truth: high-performing teams succeed based on how they’re organized, not where they sit.
Leaders can help their organizations move from the danger zone to the winning zone by changing how they wire their organization’s social circuitry.
The values and philosophies that frame the processes, procedures, and practices of DevOps.
This post presents the four key metrics to measure software delivery performance.
January 10, 2024
Artificial intelligence and large language models like GPT-3 are hot topics these days. While the hype around generative AI is immense, software developers still need to ship AI-enabled software. This comes down to developer experience or “DevEx”—creating an environment that allows developers to build quickly, reliably, securely, and with joy. In this post, we’ll explore why DevEx is crucial for realizing the promises of AI as shared by principal researcher and author Dr. Nicole Forsgren at the 2023 DevOps Enterprise Summit.
DevEx focuses on the satisfaction developers have with processes, tools, and the overall ability to deliver code. It centers the user and takes a people/customer-oriented approach, with developers being the “customer.” Understanding pain points through a DevEx lens surfaces bottlenecks to accelerate improvement. This includes speed, reliability, security, and compliance in a user-friendly way.
Dr. Forsgren shared three dimensions that contribute to DevEx:
Many consider DevEx as just making developers happy. However, data shows DevEx drives critical outcomes like:
In new research using the framework above, Microsoft examined over 32,000 responses across 177 countries to analyze the hard benefits of improving DevEx, specifically by enhancing flow state, feedback loops, and cognitive load. Key findings include:
DevEx gives organizations a lens to align people to change efforts. Microsoft drives this alignment through “Engineering Thrive,” which tracks DevEx via objective telemetry and subjective survey data across speed, ease, quality, and culture. Leaders examine the data to surface insights, have curious conversations, understand tradeoffs engineers face, and create improvement strategies.
Additionally, DevEx metrics create a shared language. Rather than intuition, teams leverage data-informed insights paired with expert judgment to guide decisions. The framework provides durable categories (speed, ease, quality, culture) while regularly iterating specific data points upon. Comparisons happen internally rather than externally to focus on one’s own baseline and improvement.
Complexity in problem diagnosis, duplicate solutions, and convoluted code often hinder developers. Dr. Forsgren suggests LLMs could provide personal expert guidance to engineers. Her team built prototypes where developers can:
By co-innovating solutions centered on user needs, LLMs can enhance developer experience to allow AI’s delivery at scale.
DevEx is crucial for taking AI from hype to shipped product. When we create an environment that lets developers do their best work, we realize immense benefits for engineering culture while accelerating discrete AI applications. According to Forsgren, as large language models progress, a relentless focus on DevEx will allow us to tap into their potential to drive business and human value.
To watch the full presentation, visit the IT Revolution Video Library here: https://videos.itrevolution.com/watch/871558697.
Managing Editor at IT Revolution working on publishing books and guidance papers for the modern business leader. I also oversee the production of the IT Revolution blog, combining the best of responsible, human-centered content with the assistance of AI tools.
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