Computers are orders of magnitude faster than when most of us started programming and yet a lot of software runs much slower than it should. Nobody likes progress bars. Slow code provides for a horrible user experience, drains batteries faster, and increases our cloud bill.
Large Language Models (LLM) have enabled machines to write code. The resulting movement, AI-assisted coding, promises to improve the productivity of software developers. However, AI-assisted coding is still in its infancy. This implies that we should embrace it with caution, guardrails, and realistic expectations.
The use of online containers as lightweight virtual software development environments is becoming more prevalent in DevOps across industries. Some of the major vendors such as GitHub have started to propose solutions.
When it comes to cloud services, the name AWS is nearly synonymous with the public cloud. Although Amazon’s grip on the cloud might be loosening (however slowly), there’s no question that AWS with its estimated 47% market share is a cloud behemoth.
Software startups make global headlines every day. As technology companies succeed and grow, so do their software development departments. In your career, you might suddenly get the opportunity to lead teams: to become a software development manager.
Passing data through a pipeline of transformations is an alternative approach to classic Object-Oriented Programming (OOP). The LINQ methods in .NET are designed around this, but the pipeline approach can be used for so much more than manipulating collections.
