How AI Is Transforming Software Development?

Artificial intelligence is transforming the software industry at a rapid pace. AI is now used by teams at nearly all stages of the software development cycle. 

AI can help developers to work more efficiently and achieve better results. This article provides data and research to explain how AI will shape the future of software.

AI Is Now a Core Part of the Developer Workflow

AI tools are now a part of the everyday tasks that coders perform. AI is used by developers to fix errors, autocomplete functions and generate new ideas. This reduces the amount of routine work and makes coding simpler.

Recent research indicates a strong adoption. In the 2025 Stack Overflow Developer Survey, it is reported that over 84% of developers currently use AI tools or plan to do so. Over 51% of them use AI tools daily. These figures show the rapid change that is occurring within engineering teams.

AI can also be used to improve learning. AI is used by developers to translate code, understand documentation and explore new frameworks. This allows new developers to progress more quickly and experienced developers to save time.

How AI Is Changing the Role of Software Engineers

Software engineers are evolving. The majority of developers’ time is no longer spent writing repetitive code. They now guide AI tools and validate outputs.

According to industry reports, companies expect that a significant portion of their engineering staff will develop new AI skills. Gartner estimates that 75% of engineers in 2028 will be using AI code assistants on a daily basis. Developers must now concentrate on problem-solving, judgment, and quality control rather than just raw coding.

Faster Development Cycles and Better Quality

AI improves software quality and speed. AI-powered code suggestion, automated testing, smart debugging, and intelligent debugging all reduce errors and delays. McKinsey’s analysis of 2024-2025 shows that high-performing companies see:

• 16–30% faster time to market
• 31–45% better software quality

These improvements allow companies to release new features faster and maintain a more stable application.

AI can also help teams identify issues earlier. By using tools that scan logs and track patterns to flag anomalies, problems can be identified before they affect users. It leads to less downtime and better customer service.

Developer Concerns Still Exist

Despite the widespread adoption of AI generated code, many developers still have concerns over its accuracy. Unsurprisingly, a significant number of developers do not trust AI suggestions that aren’t reviewed. It is crucial for long-term reliability.

Research shows mixed levels of trust. Even though AI can increase productivity, engineers still need to validate logic, verify security risks and confirm that there are no hidden bugs. Human judgment remains essential.

Where AI Helps in the Software Development Lifecycle

AI is a valuable asset at many levels:

AI in Planning

AI can analyse requirements, check patterns of past projects and suggest architectural ideas. This allows teams to plan realistically.

AI in Coding

AI helps developers to generate code faster, and reduce repetitive tasks. AI can help complete functions, correct syntax errors and convert code between different languages.

AI in Testing

AI can create test cases, detect regression problems, and highlight areas of code that are risky. This reduces the likelihood of defects making it to production.

AI Deployment

AI can improve system configurations and predict failures. This reduces downtime and ensures stability.

When AI and human oversight are combined, each of these stages is strengthened.

Key Industry Stats in One View

The table below shows some of the widely reported stats about AI adoption.

These numbers make one thing clear: AI is becoming the standard, not the exception.

AI Adoption Requires Strong Governance

Companies must set rules to ensure AI is used safely. Companies must define rules for AI use, such as where AI is used, who will review AI generated code, and which data can be shared externally. A clear governance system protects intellectual properties and reduces risk.

A good governance is a combination of internal policies, review cycles by humans, and well-documented procedures. Companies that adhere to structured AI rules achieve better results and have fewer security problems.

The Growing Need for New Software Roles

AI creates new roles for software teams. AI is creating new job roles in software teams.

• Reviewers of AI systems
• Prompt engineers
• AI product designers
• AI Governance Specialists

These roles can help companies find the right balance between automation and quality control. These roles will be even more crucial as AI adoption increases.

AI and Security Risks

AI can speed up development but it also introduces new risks. AI tools can generate code that contains hidden vulnerabilities or suggest insecure libraries. Security review is therefore crucial.

To ensure AI-generated code is secure, organisations now use automated scanners and dependency checks as well as strict review guidelines. These steps allow for strong security standards to be maintained even when workflows are faster.

AI Adoption in the UK and Berks Technologies’ Role

The UK is a leading market for AI-powered development of software. AI is being used by businesses in retail, technology, healthcare, finance and other industries to improve development time and product quality.

Berks Technologies, a UK-based provider of modern software and AI practices, is a leader in helping UK companies adopt these technologies. They help organizations with AI integration and workflow design. 

Custom Software Development Services UK helps businesses to use AI tools responsibly, while maintaining security and quality. AI adoption is made faster, safer and more effective.

Why Training and Culture Matter

AI adoption is more than just tools. People are also important. Companies with a learning culture achieve better results. Developers can learn quickly with short training sessions, internal workshops, and AI-paired programming.

Positive culture will ensure that AI is a partner and not a cause of confusion. Productivity and code quality increase when teams are confident in using AI.

The Future of Software Development with AI

AI does not replace developers. It is a powerful tool that can be a partner. The tools and creative freedom of developers who work with AI are better. Businesses that implement AI in a controlled manner and with proper training will produce more reliable products faster.

AI will continue to grow in influence. The future will bring more innovation, smarter tools and increased automation. Businesses that begin today will be at a significant advantage in the future.