Blog posts
The rapid growth of Artificial Intelligence (AI) has changed many aspects of modern life. One of it is software development.
Outsourcing has been marketed as a magic bullet for cutting operational costs, avoiding burnout, and fixing inefficiencies.
Spend five minutes scrolling Reddit and you will hear a familiar refrain. “Program code hell”, “madhouse”, “too complex”, “and over-optimized”.
If you blinked in June, you probably missed something important. AI systems got quicker, smarter, and, to be honest, more erratic.
This topic is about two different approaches to project management.
The rise of blockchain is no longer a prediction, it’s a reality. But the real momentum isn’t just in building more platforms.
AI is a breakthrough technology. Machine learning operations are effective. Special limits are needed to make the intervention smooth and rapid.
No, we’re not in a stable phase, not even close. As competition rises among the top global business risks, improving operations, customer experience, and financial performance becomes a must.
AI is reshaping industries. Yet building systems that are truly safe, reliable, and controllable is still a major challenge. AI alone isn’t enough. It demands a dedicated engineering mindset.