Felienne interviews Zachary Burt about freelancing as a career option. How does freelancing differ from employment? How to do personal marketing and sales? How to find a work-life balance when you are self-employed? We also cover practical tips like deciding on an hourly rate and managing demanding customers.
Founder of Thinkst, Haroon Meer talks with Kim Carter about Network Security. Topics include how attackers are gaining footholds into our networks, moving laterally, and exfilling our precious data, as well as why we care and what software engineers can do about it.
Bryan Reinero talks with Jason Hand about handling outages and responding to failures. The episode explores basic problem-solving strategies and diagnostic techniques, organizing teams to address incidents efficiently, communicating with stakeholders, learning from incidents, and managing stress.
Nate Black talks with Jonathan Stark about platforms for mobile development, making decisions about how to develop mobile apps, how to deploy mobile apps, native apps vs. progressive web apps, React Native, and the future of mobile applications.
Felienne talks with Moshe Vardi about P versus NP. Why is this problem so central to computer science? Are we close to solving it? Is it necessary to solve it? Progress toward computing hard problems efficiently with SAT solvers. How SAT solvers work,; applications of SAT like formal verification.
Edwin Brady speaks to Matthew Farwell about Type Driven Development and the Idris Programming language. The show covers: what a type is; static vs dynamic types in programming languages; dependent types; the Idris programming language; why Idris was created. Type safe printf modelling state in Idris modelling protocols in Idris modelling concurrency in Idris type driven development and how it changes the development process.
Felienne talks with Michael Feathers about Legacy Code. When is something legacy? Is working on legacy different from working on greenfield code? Do developers need different skills and techniques? Testing legacy code. How to test a legacy system? When do we have enough tests to feel safe to start coding? Techniques to make legacy systems more testable.
Asaf Yigal talks with SE Radio’s Edaena Salinas about machine learning in log analysis. The discussion starts with an overview of the structure of logs and what information they can contain. Asaf discusses what the log analysis process looks like without machine learning -- and the role of humans in this – before moving on to how the process is improved by incorporating external resources using machine learning. Topics include: log analysis, machine learning, operations.