The advent of modern technologies brings about rapid change in the sphere of software development. This is fuelled by volatile market conditions coupled with dynamic customer demands. In my blog today, I will address the current tech trends that are shaping the software industry in 2023.
1. Infrastructure as Code (IaC) gains clout
The rising complexity of cloud native adoption has garnered the need for reliable infrastructure as code (IaC). In fact, the global IaC market is growing rapidly at 21.9% CAGR and expected to reach $2.8 billion by 2028. With IaC, developers can effectively manage intricate software with microservices, APIs, clusters, and other interdependencies. This is al while ensuring speedy code development and deployment.
IaC helps create a single source of code that can track applications and ensure security. Additionally, with IaC, teams can monitor inconsistencies and fix bugs ahead of time. This ensures mitigating management issues.
2. DevSecOps gains popularity
DevOps has been a universally accepted practice for software businesses. The current trend is steering towards the rapid adoption of DevSecOps.
DevOps aims for faster software development and entails increased collaboration between the developers and operations teams based on continuous integration and development.
DevSecOps on the other hand is an evolved version of DevOps that introduces security as a factor in code development. Traditionally, quality assurance teams inculcated security after the software was developed. However, with DevSecOps, their participation is necessary after every stage.
With DevSecOps, you can identify bugs at early stages and resolve them immediately. This results in improved security and reliability in the final software. This is reflected in a study. It found that organizations using DevSecOps practices find and fix vulnerabilities 11 times faster than those without DevSecOps.
3. Python overtakes JavaScript
For several years, JavaScript was the programming language of choice for developers worldwide. However, according to the TIOBE and PYPL index, Python has deftly taken the lead by 10% with Java now in second place.
Python is quickly becoming an industry favourite owing to its simple syntax and versatility. Developers are especially favouring it to build complex software solutions with layered AI-ML features.
4. GPT accelerates AI development
Harness the power of GenAI to boost your product modernization journey in 2024.
GPT, or Generative Pre-trained Transformer, has significantly accelerated AI development. It is revolutionizing the field of natural language processing (NLP) and beyond. GPT has shown impressive capabilities in:
- generating human-like text
- translating languages
- summarizing content
- engaging in conversations
Its ability to learn from vast amounts of data and generate contextually relevant responses has paved the way for a new era of AI applications.
GPT has also greatly reduced the barrier to entry for developing AI-powered applications. Its pre-trained models allow developers to leverage its language generation capabilities. This is without having to start from square one. This saves significant time and effort in training models from scratch. Additionally, this has enabled faster prototyping and development cycles. This is leading to quicker iterations and advancements in AI applications.
Furthermore, GPT has fostered innovation. This is by providing a powerful tool for researchers, developers, and businesses to explore new possibilities. From generating creative content to simulating dialogues for virtual assistants, GPT has empowered developers to push the boundaries of what’s possible with AI.
According to a study by OpenAI, the introduction of GPT has accelerated the development of AI applications by up to 70%, reducing the time and effort required for training language models.
Today, GPT has become a game-changer in accelerating AI development by:
- providing powerful language generation capabilities
- reducing development time
- fostering innovation
- unlocking new possibilities in various domains beyond NLP
As GPT continues to evolve, it holds the promise of further accelerating the development of AI applications in the future.
5. LCNC leads to speedy software development
With the demand for simplified software surging, low code now code (LCNC) proves to be a boon for developers worldwide. An LCNC platforms enables citizen developers with little to no coding knowledge to create their own applications. This is on a graphical, drag and drop interface. Studies show that 80% of respondents go for a low code approach since it frees up their time so they can focus on value generating projects.
With LCNC, businesses can avail benefits such as:
- reduction in manual work,
- lowered resource utilization
- lower barrier for entry into application development
6. Internet of Behaviour (IoB) garners deep insights
A natural continuation on Internet of Things (IoT), IoB is focused on collecting data from sources such as:
- facial recognition systems
- social networking sites
- wearable devices, etc.
This collection is in a single database.
A survey by PwC found that 88% of CEOs believe that the integration of physical, digital, and human elements is essential for their organization’s success in the future.
By amalgamating psychology, technology, and data, IoB finds several use cases in the business realm such as:
- predicting customer’s needs
- mapping behaviour patterns
- providing a user-specific experience
These, and many more trends are all set to disrupt the software development industry soon. It is crucial for modern businesses to keep up with the latest trends and integrate new technologies into their processes.
Reach out to us at Nitor Infotech to learn more about how you too can tap into the potential of modern technologies.
