92: Measuring Code Quality with Dan Sturtevant
Many analytical models can help you to measure some aspects of the quality of your codebase.
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Episodes
91: Keeping Up with Ruby on Rails with Robby Russell
Ruby on Rails is a fast-moving community and it is not always easy to keep up with it. Given the efficiency of the framework, however, it is well worth trying.
90: Microservices Security with Prabath Siriwardena and Nuwan Dias
Security is a big topic with many facets, and this is especially true for microservices.
89: Legacy Coders with Clive Thompson
In the last episode of 2020, we took a stroll through the little known corridors of coding history with Clive Thompson.
88: Celebrating Our 5th Anniversary with Johanna Rothman
Even before the COVID-19 pandemic changed the way we work and communicate, some people expected remote work to become more popular.
87: Legacy Code in Times of Crisis with Joao-Pierre Ruth
How has COVID-19 affected legacy code based systems, and what do we do to address the issue?
86: Quantified Task Management with Jason C McDonald
Knowing how to prioritize tasks and how to eliminate unnecessary assignments is a crucial skill for successful project management. The more complicated project is, the less obvious its priorities are.
85: Mending the Makers with Luke Rabin and Brandon Lewis
We often talk about the makers and menders dichotomy on this show. But we rarely dived deep into the dynamics of collaboration between these two groups of creatives.
84: Communication Debt with Andrea Goulet
As menders working with legacy code, we are focused on identifying and reducing technical debt.
83: From a Monolith to Containers with Ben Johnson
Most, if not all, of the legacy projects feature monolithic application architectures.
Additional Info
Legacy Code Rocks explores the world of modernizing existing software applications.
About
In this show, hosts M. Scott Ford and Ray Myers are out to change the way you think about legacy code.
If you're like a lot of people, when you hear the words "legacy code" it conjures up images of big mainframes and archaic punch card machines. While that's true — it only tells a small part of the story. The code you leave behind is your legacy, so let's make it a good one.