Industry experts say software trends come and go, but developers can prove their future resumes with these major trends.
Years ago, software developers could build a career in a single language, like React.js, but that’s no longer the case, said Kristi Schumann, senior vice president of talent operations at tech talent agency Toptal.
“Nowadays, there is a lot of mixing between websites, e-commerce platforms, mobile applications, cloud and all parts that a developer has to learn multiple languages and frameworks,” Schumann said.
But while mainstays of software development like cloud computing and mobile apps are trends that have held, hundreds of others have faded into the annals of history, including LISPAnd the Marketing Reporting Software And the storage tapes. This can make it difficult for developers to decide which bandwagon they want to jump on.
However, industry experts say three current trends will remain on track: artificial intelligence for IT operations (AIOpsand machine learning processesMLOps), spatial computing, and low-code and high-code skills.
AIOps and MLOps
AIOps and MLOps, the application of artificial intelligence and machine learning to automate and simplify DevOps workflows, is set to take off and play a key role in enterprise DevOps initiatives, said Charlotte Dunlap, director of research at the analytics firm GlobalData.
Tools like DevOps for IBM Cloud PaksIntroduced in 2020, it gives a wider audience access to advanced analytics that was previously within the field of data science.
MLOps can also reveal more insights from the data. “MLOps are used to get around the broader problem of what is referred to as dark dataFor example, the ability to access, collect and organize customer data that organizations have collected, but have not been able to leverage to provide meaningful insight,” Dunlap said.
Srini Kadiyala, chief technology officer at OvalEdge, a data management consultancy, said AIOps is a time and resource saver for software developers. He said that AI-enabled coding applications build complete automation in the software development chain, increasing speed and accuracy during the coding process.
“[AIOps] Useful because it replaces manual IT operations tools with an automated IT operations platform that collects IT data, identifies events and patterns, and reports or remediates problems — all without human intervention.”
Nils Bell, CEO of Auki Labs, an augmented reality technology company, said that while artificial intelligence is capturing much of the public’s imagination now, another noteworthy trend is spatial computing. Spatial computing involves making applications more aware of place, such as integration with augmented reality and The Internet of things.
John Marcus, an analyst at GlobalData, said spatial computing also has industrial applications, including on-line quality control and better asset tracking. But COVID-19 and climate change are driving the direction of spatial computing.
“There has been a huge surge in demand for AI and IoT solutions that help with space management, people tracking, etc., in 2020-2021 due to the pandemic and social distancing/contact tracing,” Marcus said. “Since 2021, corporate acceptance of environmental sustainability has led to an increase in demand for solutions that monitor indoor spaces for energy efficiency, and the importance of this has been increased in the wake of the energy crisis in Europe and elsewhere.”
Nils BellCEO of Auki Labs
This demand means that engineers must learn about the opportunities and limitations of spatial computing, Bell said.
“Making applications that interact with and expose space in space requires new skill sets, mindsets, and tools,” he said. “Tens of billions of dollars are being deployed by the likes of AWS, Google and Apple to meet this new demand and growing ecosystem of augmented reality, virtual reality or MR [augmented reality, virtual reality or mixed reality] specialists.”
Low and high code skills
Shiva Nathan, founder and CEO of Onymos, a feature service provider, said there’s always a big pendulum that swings between low code and high code.
From ‘Hey, you can do this with drag and drop’ To ‘Only experienced software engineers can do this. Then the pendulum swings back and says, “Not everything can be done with this,” he said. “The balance is somewhere in the middle.”
Immediately, low code Its popularity is growing exponentially, according to Forrester Research analyst John Bratensevich. But this does not mean the demise of high code, because both low code and high code are required.
“There will be a lot of code written over the coming years, and there will be a lot of low-code development as well,” he said. “For example, a lot of code will be written as components that will be configured and compiled into solutions on a low-code platform. Both are required.”
Christopher Kondo, an analyst at Forrester, said he believes that over time, low code, no code, and high code will coexist in engineering teams.
“There are too many engineers who are not working on attractive end-user e-commerce sites,” he said. “A lot is working for in-house IT to create new capabilities to enable business on those platforms, and these engineers can work faster with low code.”