We’ve all read the articles and got excited by technologies such as machine learning, deep learning, Tensorflow, Panda and NumPy. A lot of us are also looking at how to incorporate these technologies into our toolset and in the software we are building.
It’s all well and good for the agile manifesto to recommend self-organising teams, but what does that actually mean in practice? What’s the best way to do it, how far should you take it? Total anarchy is probably not the answer here… right?
How many talks, articles, and podcasts have you seen about organizational change, and how to implement it? How many of them talked about what we can learn from non-human psychology? This is that talk.
There’s a lot of talk nowadays about the impact that artificial intelligence (AI) will have on testing. There’s a new generation of testing tools being developed that employ AI with promises of making testing much more efficient for us.
Ever experienced that unexpected and urgent crisis that needs immediate effort and expertise? No matter how agile we are I'm willing to bet every team/project/organisation experiences these interrupts - the 'Black Swan' events - on a surprisingly regular basis.
As video games have become more and more complex, game designers put way more time into creating environments where players are engaged and willing to put the time and effort into learning and mastering these skills.
If we want to truly encourage diversity in our industry, we are going to have to listen and respond to feedback from under-represented groups that challenges our assumptions.
Uptime matters, but so do your people. At Intercom, keeping our product online and working well at all times is critical to the success of our business.
Everywhere we look, developers are working on side or ‘passion’ projects. While these projects are incredible ways to expand your knowledge faster, accelerate your career, and gain recognition in the developer community, the truth is that not everyone can or wants to spend extra time outside of work on coding.