Agile + DevOps West 2023 - Developer

Although there are several controversies and misunderstandings surrounding AI and machine learning, one thing is apparent — people have quality concerns about the safety, reliability, and trustworthiness of these types of systems. Not only are ML-based systems shrouded in mystery due to their largely black-box nature, they also tend to be unpredictable since they can adapt and learn new things at runtime. Validating ML systems is challenging and requires a cross-section of knowledge, skills, and experience from areas such as mathematics, data science, software engineering, cyber-security,...

Effective prioritization is critical to wring the most out of agility. When you’re just delivering once, ordering matters little. However, when the option to release on a regular basis is available, what you do sooner rather than later can have huge impacts on value realization, risk mitigation, and more. However, prioritization is much easier in theory than in practice for most organizations. Arlen has been a practicing agilist for over two decades. Working with hundreds of clients and teaching thousands of students how to effectively prioritize is one of the most frequently raised topics...

"Shift left" is the mantra of DevSecOps. The closer to our developers that we can move the prevention of a security vulnerability being introduced to our codebase, the cheaper and faster it is for our organization. However even in 2023 old vulnerabilities find their way into new pull requests and merges. We can't continue to "shift left" and hope for the best. Instead, our focus needs to turn to providing the right tools and resources to our developers at the right time. Proper techniques need to be as friction free as shortcuts, workflows integrated, and correction offered in clear...