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.
Just as physical jerk throws our bodies off balance, technological jerk throws our mental models and established workflows into disarray when software changes too abruptly or without proper preparation.
Sure, vibe coding makes you code faster—that’s the obvious selling point. But if you think speed is the whole story, you’re missing out on the juicy stuff.
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.
Clearing Obstacles in the Value Stream from PR to Production
While organizations are promised dramatic productivity increases from GenAI code technologies, many executives find themselves experiencing minimal gains or even decreased productivity, with growing backlogs and longer validation cycles despite faster code generation.
This actionable guide from Vanguard’s technology leadership team focuses specifically on optimizing the software development life cycle after code is written—from pull request to production deployment. The authors present a comprehensive framework covering ten essential validation steps, including code review, automated testing, static analysis, policy enforcement, performance testing, and resilient rollout strategies. Each recommendation includes specific guidance on frequency, context, and automation opportunities.
Rather than attempting to solve all SDLC challenges, this paper targets the area where enterprises have the most control and face the greatest strain from AI tools: ensuring code quality and production readiness. The structured approach helps technology executives build confidence in their delivery pipeline while harnessing the benefits of generative AI without compromising reliability or introducing excessive risk.
Reduce production incidents through systematic validation processes.
Streamline delivery pipeline with AI-enhanced testing strategies.
Actionable recommendations for 10k+ employee enterprise leaders.
Maintain code standards while accelerating development velocity.
Christina Yakomin is a Senior Manager in Vanguard’s Chief Technology Office, leading the Performance and Resilience Optimization team. She has worked at the company’s Malvern, PA, headquarters since graduating from Villanova University with an undergraduate degree in Computer Science. Throughout her career, she has developed an expansive skill set in front- and back-end web development, as well as cloud infrastructure and automation, with a specialization in Site Reliability Engineering. Christina has also worked closely with the Women’s Initiative for Leadership Success at Vanguard, volunteering both internally at the company and externally in the local community to further the career advancement of women and girls—in particular within the tech industry. She has previously shared her technical expertise at many conferences and events, including AWS re:Inforce, QCon, SRECon, and the Enterprise Technology Leadership Summit. In her spare time, Christina is passionate about traveling; she has visited twenty-seven different countries and thirty-two US states so far!
Robbie Daitzman is a senior manager supporting intermediary, or B2B, technology at Vanguard. Previously, he has held various roles within Vanguard focusing on cloud infrastructure, infrastructure and deployment automation, reliability engineering, and helping our systems meet the needs of various internal and external clients. Robbie also leads the IT and Product Development groups within My Classroom Economy, a volunteer initiative focused on promoting financial literacy within K-12 schools.
A Short Story about How a Fictional, Faster-Growing Financial Institution Scaled Automated Governance across a Large Enterprise
A Modern Approach to Maintaining Evidence and Relationships Between Software Assets
From Ideation to Implementation Utilizing AI/LLMs
