7 Ways AI Changes Software Development

AI affects not only the way users interact with their devices and applications, but also how the apps are created. Companies shift their interest towards the newest technologies, and AI is among the recent-times favorites. No matter how many tasks are ceded to technology, real-life programmers can feel safe from AI-originated competition, as the algorithms won’t replace the workforce in the few upcoming years.

Artificial intelligence answers the increasing demand for unique, secure, scalable, and cost-effective applications. Adopting the technology gives developers opportunities in creating innovative projects, suitable to customers’ needs.

Paradoxically, developers may even be in greater demand in the nearest future, curating skills to efficiently cooperate with AI, executing various tasks, and specializing in different fields. That’s a thing of the future, but what do we have already? AI consulting services support companies in building future-proof software solutions bringing tangible business value.

What Can Ai Do For Your Software Development Process?

Improving developers’ productivity, suggesting reuse opportunities, decreasing the risk of critical errors, improving security, predicting future outcomes, AI is a versatile ally in software development.

Automated DevOps

From resource management, anomaly detection, improved data access to skyrocketing efficiency and performance analysis, AI is a full-fledged partner for DevOps. Algorithms support the process by reading patterns and recognizing indicators of potential deployment issues, unnoticeable to humans. Early predictions help DevOps introduce countermeasures before errors could impact the project. Followed by a profound analysis of past failures, AI automation gives deeper insights into root causes and their future prevention.

Code Review And Automation

AI is successfully employed in performing fully automated code reviews even in extensive projects. Algorithms decrease developers’ workload, taking from their shoulders the mundane actions related to code review. Filtering mechanisms allow developers to sort out the critical threats requiring human attention, improving productivity.

Automated Testing

Employing AI in software testing simplifies the development process. Using automation contributes to the projects’ condition, as continuous monitoring of software health metrics leads to decreasing errors and improving development efficiency. Adding AI to the CI/CD pipeline allows auto-generated and auto-running tests, resulting in higher quality code, delivered in a shorter time with fewer resources used.

Improved Security

AI allows the creation of ever-alert sensors, remaining on the lookout for abnormalities and potentially dangerous occurrences, distinguishing them from normal behaviors. Algorithms support the prioritization of security measures based on the latest knowledge of general and industry-specific risks. With the application of mature AI, keeping pace with constantly emerging new threats, developers decrease the chances of successful attacks on their projects.

Augmented Coding

Artificial intelligence can work as a road atlas, guiding developers during the software development life cycle, contributing to significant efficiency improvement. The augmented coding tools leverage algorithms’ potential to streamline the coding process. AI assists programmers by suggesting more adequate solutions and anticipating the most relevant blocks of code, required to resolve encountered problems. Augmented coding helps cope with legacy code through finding and reusing the suitable existing code.

Software Design And Prototyping

AI consulting helps in delivering unique software projects, employing algorithms to analyze project requirements, guidelines, and business factors, resulting in creating solutions answering the clients’ needs in the most adequate way. As a next step, algorithms can support the process in creating technical prototypes based on business functionalities and available capabilities, delivering mockups to assess potential outcomes, and facilitating further modifications before launching the projects.


Estimating software projects is a challenging task, affected by various factors. One of the issues is the difficulty in predicting potential obstacles, affecting the project deadlines. Artificial intelligence supports developers in this area by analyzing data from previous projects and existing forecasts, enabling more precise estimations compared to human analysis. AI-powered solutions can adjust estimations in real-time, acknowledging new data and requirements, maximizing accuracy.

Is Ai The Future Of Software Development?

AI accelerates the creation of digital products, at the same time improving quality assurance processes and contributing to future strategies. With algorithms supporting every stage of the software development process, companies are armed to face modern challenges in the digital market, building robust solutions.

The software development industry benefits greatly from widespread artificial intelligence adoption. AI is an already established solution supporting creation of digital products, and combining algorithms with powers of software architects, developers, and DevOps specialists towards building state-of-the-art projects. Despite speculations that artificial intelligence will replace developers, in the more probable scenario, AI will continue to support humans, at least for now. With the many ways it streamlines the creation of digital products, the solution will only grow in importance in the upcoming years, increasing its role in software development.

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