State of AI vs Human Code Generation

Refresher on Continuous Delivery

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 […]

The changing state of Platform Engineering

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 […]

State of AI vs Human Code Generation

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 […]

Engineering performance and AI impact 2025 Report

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.

The hard truth about Platform Engineering

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 […]