Engineering teams are starting to resemble legacy Java apps hitting thread exhaustion. I believe change is unavoidable, and we need a better way to organize the work.
Building software is full of ups and downs. Some days, you're working with the best team you can find, and others it's up to you to fix something with no idea how it works and no access to documentation.
We asked engineers how far AI can really go in software delivery, and their answer was simple: it can speed things up, but people still have to make the decisions.
At Infobip Shift, accomplished speaker and engineer Teresa Wu will talk about how AI is transforming software delivery, multi-platform development, and the future of engineering teams.
Twenty developers got real about their jobs: the rush of shipping something that actually works, the way a fat paycheck can make you stay longer than you probably should, and the slow death of sitting through another meeting that should've been an email.
That number is expected to rise to 65% within two years. Yet 96% of developers, according to this Sonar research, say they don’t fully trust AI-generated code.
To get the full power of a Deployment Pipeline, you need more than tools - you need practices that let it shine and reveal both your strengths and your weaknesses.