The world of software development is shifting rapidly with the advent of generative AI (GenAI) tools. These tools, powered by machine learning models, can assist software developers by automating repetitive coding tasks and even generating entire code segments.
But while these innovations are making development faster and more efficient, they don’t replace the human role in coding altogether.
“GenAI has the potential to significantly improve developer productivity by handling repetitive tasks and suggesting improvements,” Marcus Low, general manager & VP of Sonar for the APJ region, told Back End News in an email interview. “However, human developers remain critical for ensuring the quality and security of the code.”
Software development has evolved from manual coding to the use of low-code and no-code platforms, and now to AI-driven assistants. Large Language Models (LLMs) trained on vast datasets and natural language have begun to play a key role in the coding process. These models can generate entire blocks of code from simple natural language prompts, which can save time and effort for developers.
However, Low said that while this may sound like the future of programming, it’s important to remember that AI-generated code still requires human oversight.
“Even though AI tools are helpful, developers must ensure that the code meets the project’s requirements, adheres to security standards, and aligns with the team’s coding practices,” he said. “After all, AI lacks the contextual understanding and creativity that human developers bring to the table.”
That is why developers still need to review and refine the code, ensuring it matches both the technical specifications and security needs of the software they are building.
Benefits and challenges
GenAI tools are making it easier for software developers to focus on more strategic and creative aspects of their projects by automating tedious tasks. For instance, these tools can generate boilerplate code — standardized sections of code — while also suggesting improvements to existing code. This not only speeds up the development process but also allows developers to dedicate more time to the architecture and design of their systems.
However, this rise in automation introduces new challenges. Code quality remains a central concern, especially when relying on AI-generated segments. Developers must still take the time to review this code, validating its accuracy and ensuring that it meets industry standards. The risk of overlooking issues in AI-generated code can lead to security vulnerabilities or poor software performance.
“AI is a great tool for improving productivity, but it can’t replace the critical thinking and problem-solving skills of human developers,” Low said. “Ensuring that AI-generated code is secure and high quality is still the responsibility of the development team.”
As AI tools become more prevalent, producing clean, secure, and quality code is more important than ever. Clean code is not just about aesthetics or readability; it also means consistency, adaptability, and reliability. Clean code is easier to maintain and reduces the likelihood of errors, making it crucial for software that needs to be scalable and secure.
The Philippines, in particular, is seeing increased interest in AI for software development. However, with this rise comes the need for both businesses and developers to prioritize code security. This means investing in the right tools and processes to ensure AI-generated code is just as secure as code written by human developers.
Developing a skilled workforce
As the demand for software developers continues to rise, Low noted how the Philippines is working to ensure a steady supply of skilled professionals who can thrive in this evolving landscape. The Department of Information and Communications Technology (DICT) recognizes the importance of developing local talent and is working to integrate coding and digital literacy into school curriculums.
Introducing students to programming and AI tools early on is crucial for building a strong pipeline of future developers. Collaboration between the public and private sectors, along with educational institutions, is key to making coding education accessible to more people, including those outside of the major tech hubs like Manila, Cebu, and Davao.
“Improving digital infrastructure and expanding access to education can help the Philippines tap into a broader talent pool. This is crucial for ensuring that the country remains competitive on a global scale,” Low said.
The Philippines has long been a leading destination for outsourcing software development due to its skilled workforce and robust digital infrastructure. However, outsourcing presents its own set of challenges, particularly when it comes to maintaining high standards of code quality.
When working with outsourced teams, differences in coding standards, time zones, and communication styles can lead to inconsistent results. Clients often have limited insight into the development process, which can make it difficult to ensure that code quality is maintained throughout the project.
AI-powered tools are helping mitigate some of these challenges by employing different tools available in the market today.
According to Low, in today’s interconnected world, bad code can have far-reaching consequences. Poorly written or insecure code can introduce vulnerabilities that hackers can exploit, leading to data breaches and significant financial losses. In some cases, these vulnerabilities can cripple an organization’s operations or cause irreparable damage to its reputation.
“Organizations must prioritize code quality to avoid technical debt and ensure their software is secure,” Low said.
As the use of GenAI tools becomes more widespread, the role of the software developer is also evolving. Developers will need to combine technical skills with soft skills like communication and problem-solving to work effectively with these tools.
AI tools will be complementary, helping developers work more efficiently while still relying on their expertise to ensure the final product is high quality and secure.
“The future of software development will be a partnership between humans and AI,” Low said. “Developers who can effectively use these tools while maintaining a focus on quality and security will be in high demand in the years to come.”
Sonar equips developers and organizations to systematically achieve a state of Clean Code so that all code is fit for development and production.
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