51:53
Delivering Value While behind Enemy Lines
Matt Barrett talks about how his team at Adaptive Financial Consulting manages to get things done in the face of huge cultural resistance while maintaining their own engineering culture.
53:46
A Crystal Ball to Prioritize Technical Debt
Adam Tornhill offers an overview of techniques that help uncover both problematic code and the social dimension of the teams that build software. He illustrates each point with a case study.
42:23
Refactoring Mount Doom - Tackling Legacy Code
Franziska Sauerwein discusses how to refactor code for the right reasons and the right methods to use for time efficiently.
42:57
Using Quality Views to Tackle Tech Debt @Tesla
Colin Breck discusses how quality views may help improve communication in support of tackling technical debt in an organization.
43:10
Strategic Code Deletion
Michael Feathers describes techniques that generate more certainty around assessments of feature liveness, and strategies that can be used to remove code that does not have high value
44:16
Social Coding for Effective Teams and Products
Phil Haack discusses the secret ingredient to great teams and products, usually misnamed "soft" skills, and how they help teams be more effective, backing all of it with hard data.
50:13
Scaling Quality on Quora Using Machine Learning
Nikhil Garg talks about the various Machine Learning problems that are important for Quora to solve in order to keep the quality high at such a massive scale.
48:43
Reaching Production Faster with Containers in Testing
David Xia explains how Helios testing framework drives integration tests and spins up self-contained environments during test runs, increasing Spotify’s code quality and successful deployments.
50:00
Safe Systems Programming in C# and .NET
Joe Duffy shares some of his key experiences from building an entire operating system in a C# dialect and dealing with errors and concurrency robustly, focusing on open source C# and .NET.
49:42
Adaptive Availability for Quality of Service
Theo Schlossnagle talks about lessons learned in building an always-on distributed time-series database with aggressive quality of service guarantees, and techniques for dealing with bad machines.
59:49
Code Quality in Practice
Bryan Helmkamp discusses insights from analyzing over 1T LoC daily, what makes a code metric valuable, when unmaintainable code may be preferable, and what prevents maintaining quality code over time.
48:21
An Introduction to Property Based Testing
Aaron Bedra focuses on describing a system as a series of models that can be used to systematically and automatically generate input data and ensure that a code is behaving as expected.
