Software developer is now considered one of the best jobs in the world. The work they do touches almost every corner of our lives. As a result, software development trends for 2018 range from oil rigs to video games, and from Wall Street to our living rooms. Many of these trends, for example blockchain and artificial intelligence (AI), will surely have an impact beyond our comprehension. The year 2018 and the days to come will be an exciting and significant year for the software field, and developers will play a very fundamental role in it.Six software development trends:Demand for Blockchain Developers Is About to Explode -Blockchain had become a hot tech topic in 2017, all thanks to the rise of Bitcoin. But beyond digital currency, blockchain is a technology carefully poised to revolutionize nearly every industry.
In 2018, we will see the first attempts at this disruption through various business-class blockchain platforms.crypto coinsImpact on the software industry -Businesses will start building fantastic applications on blockchain platforms, which also means that the demand for blockchain developers will explode if expressed in the right way. According to 2016 figures, there were only 5,000 blockchain developers worldwide. The number grew in 2017, but it's still much less compared to the more than 18 million Java Phone Number List developers. It will be a gold rush for software developers who have dedicated themselves to blockchain in the coming days.
IoT will be pushed to the limitClassic wearables like Fitbit and Apple Watch get the majority of the attention, but they're just a niche in the vast IoT ecosystem. From cars to roads, from offshore oil rigs to living rooms, almost anything will turn into a data device. These devices collect massive amounts of data, and as a result, IT companies are exploring cheaper and faster methods to process it all. This is exactly where edge computing is going to play a role in the near future.Edge computing essentially uses a mesh of microdata centers to process data close to the device or at the “edge” of the network. Edge processing saves a lot of time and money by moving all data to a centralized data center. For the end user, this means that IoT devices will be able to perform faster real-time analytics, even when placed with poor connectivity.