Continuous Delivery Office Hours

Your system’s architecture can support team autonomy, independent deployability, and independent evolution of components, or it can be a sticky mess. This episode looks at whether choosing a monolith or microservices fundamentally changes the crucial properties of your architecture. Listen to find out more about: Episode details You can also watch episodes on YouTube.

Your branching strategy can support Continuous Delivery, or make it an impossible goal. Teams should assess the impact of how they branch on their ability to deliver software at all times, and that means there are some branching techniques that make software delivery more like walking in the dark through a field of rakes. Listen […]

To ensure software is deployable, teams must shift from manual testing to automated pipelines. Automation provides immediate feedback, captures institutional knowledge, and reduces long-term costs. Strategies like the Strangler Pattern help modernize legacy code for greater reliability. Listen to find out more about: Episode map You can also watch episodes on YouTube.

Tony Kelly hosts our first episode of Continuous Delivery Office Hours, with Bob Walker and Steve Fenton. In this episode of Continuous Delivery Office Hours, we ponder why prioritizing Continuous Delivery (CD) is essential for managing risk. We challenge the common instinct to reduce deployment frequency after failures, using a dentist analogy to explain how […]

Thierry de Pauw wrote a super-helpful refresher on Continuous Delivery, based on his experiences of organizations who say “we’re doing it”. The refresher looks at the 9 principles, 3 foundations, 3 practices, 1 pattern, and 1 heuristic that de Pauw says are crucial to CD success. There’s also an amazing diagram de Pauw created to […]

Drawing on the findings of the most recent two volumes of the State of Platform Engineering report, this episodes looks at the difference between shift-left and shift-down, portal traps, and abstract requirement satisfaction. There’s also a look at AI in platforms and platforms for AI. There’s also this idea of platform pluralism. We used to […]

CodeRabbit looked at 470 open-source pull requests and produced the State of AI vs Human Code Generation report with their findings. Crucially, AI makes 1.7x more errors, increasing major and critical defects. The AI-authored/assisted changes cause problems with logic errors, security vulnerabilities, and performance regressions (whereas humans are more likely to make spelling mistakes or […]

This week we look at the LeadDev and Honeycomb Engineering Performance report 2025, which is based on 400+ survey responses from engineering leaders. Find out what they’re measuring performance and how they work out whether AI is having an impact.

Based on the 2025 Platform Engineering Pulse report from Octopus, we look at what’s happening in practice. Within the Platform Engineering (PE) community we talk about reducing developer burnout, taking a product not project approach to platforms, and making platforms optional. The reality is that organizations care more about standardization and efficiency and they want […]

DORA has published their latest report and it goes deep into AI-Assisted Software development. It covers the extent of adoption, how it moves the needle on outcomes, and (crucially) what you need in place if you want to succeed. As well as thoughtful and thorough analysis on software delivery with AI assistance, the report also […]