software programming future

Future of Software Programming

Software development is one of the few businesses where one needs to be continually involved in learning new languages and programming tactics, as the trends keep on changing at an exponential rate. A programming language or technology stack does not have a long life in the field of software development unless it is reinvented and packed with a newer set of features from time to time.
There are a lot of trends to consider as the future of software programming industry of which few are Cloud, Edge, Container, Quantum, Blockchain, AI, Deep Learning, Batch, Streaming, Database, Programming, Software Architecture, Web, App, Low Code, No Code.

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1. Block Chain

One of the major difference between a normal database and block chain is that they have a complete different architecture. A blockchain contains information in the form of groups called blocks. Each block has a different set of information and have a specific capacity for storing different data. When one block of data is filled it is linked to the previous one and hence forming a chain of data blocks called blockchain. All new information that follows that freshly added block is contained into a newly formed block that will then also be added to the chain once filled. The Blockchain technology is reshaping finance, economics, and money to the extent that its disruptive power is being compared to that of the Internet and the Web in their early days. Blockchain is most commonly used these days for cryptocurrencies.

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2. Neural Networks 

Automated code generation is a trending topic these days. Many high level companies like Microsoft is building basic code generation into its widely used software development tools, Facebook has made a system called Aroma that autocompletes small programs, and DeepMind has developed a neural network that can come up with more efficient versions of simple algorithms than those developed by humans.

Neural Networks are developed in a way to work same like the human brain works. The science behind neural networks is to help computer program themselves and to help programmers code faster and more efficiently.

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3. Artificial Intelligence

Artificial intelligence can significantly enhance the capabilities of our work environment and can boost up the speed of work human do. The decisions taken by Artificial intelligence in every step is decided by information previously collected by complex set of algorithms. With better coding mechanisms errors are reduced to zero. 

some of the major benefits of programming through AI are:


  1. Time required for a certain task in drastically reduced

  2. AI can wok 24 hours without any stoppage and there are no downtime breaks

  3. Decision making process becomes faster and smarter with AI driven mechanisms.

  4. With AI Augmentation driven techniques capabilities of working individuals are enhanced and improved.
  5. One of the essential purposes of AI is to automate tasks that previously would have required human intelligence