By Anna Malikonyan
April 3, 2025
In an era where Artificial Intelligence is rapidly transforming the tech industry, businesses and developers face both opportunities and challenges. To explore this topic in depth, we sat down with Samvel Hovakimyan, Chief Technical Officer at Team Solutions CJSC. With over 25 years of experience in the field, Samvel has witnessed the evolution of software development, the impact of automation, and the rise of AI-driven solutions.
Q: AI is reshaping software development. What do you see as its biggest opportunities and challenges?
Samvel Hovakimyan: It has made processes faster, more accessible, and efficient. Today, even someone with little to no development experience can utilize AI tools to generate code, accelerating small and sometimes even large scale projects.
Compare this to the past—developers would spend hours on Stack Overflow, researching solutions, analyzing different approaches, and refining their own understanding. Now, AI provides instant answers with a single request. This is a game-changer in terms of efficiency.
However, with great convenience comes great risk. Over-reliance on AI can lead to a decline in coding quality and weaken developers' analytical skills. AI isn’t perfect—it can generate incorrect or inefficient code, and if developers blindly trust it, they might introduce vulnerabilities into their projects without realizing it.
Another challenge is the declining motivation to learn. In the past, if you didn’t have a strong technical foundation, you had to invest time in studying, practicing, and truly understanding coding principles. Now, AI allows people to solve complex tasks with minimal effort, which may lead to a decline in overall knowledge quality across the industry.
Q: Given these risks, what advice would you give to developers?
Samvel Hovakimyan: I always advice junior developers to limit AI usage and focus on foundational learning through professional literature, courses, and hands-on practice. Senior developers can leverage AI more effectively because they have the experience to assess, refine, and correct AI-generated code.
Use AI as a learning tool. Instead of requesting final solutions, ask AI to outline the full steps of a task. This approach helps developers understand the structure, logic, and reasoning behind the solution rather than simply copying code.
Q: What do you foresee for the future of software development and automation?
Samvel Hovakimyan: As Artificial Intelligence continues to evolve, we must learn to live and work alongside it rather than resist its influence. AI is reshaping the way we approach problem-solving, making processes faster and more efficient. AI significantly reduces development time, making programming and time-to-market more cost-effective. Support and maintenance are becoming cheaper as AI-powered solutions handle routine tasks, freeing developers to focus on innovation. Globally, the demand for automation will only increase, creating new market opportunities.
Q: Given AI’s growing role, how important is human verification in AI-generated outputs?
Samvel Hovakimyan: Human verification is absolutely essential. At least for now, AI cannot fully replace human judgment.
AI makes mistakes. It can generate errors, introduce security vulnerabilities, or produce solutions that seem correct at first glance but fail under real-world conditions. Developers need to carefully review AI-generated code to ensure it meets quality, efficiency, and security standards.
Another critical factor is ethics and compliance. AI doesn’t inherently understand legal regulations or industry-specific best practices. If a company blindly relies on AI for decision-making without human oversight, it could lead to compliance violations or ethical concerns.
The bottom line? AI is a tool, not a replacement. The best results happen when human expertise and AI-powered efficiency work together.
Stay tuned for more expert insights from Team Solutions!