The integration of Large Language Models (LLMs) into development workflows has become a standard practice, with companies increasingly adopting sovereign models. This shift has led to a surge in projects and methodologies, as AI tools now frequently outperform humans in speed, accuracy, and cost-efficiency.
A critical distinction exists between using AI as an amplifier versus a replacement. An amplifier involves the human defining tasks, constraints, and evaluating results. Conversely, a replacement model delegates both the execution and the underlying cognitive process to the AI, which may lead to a loss of independent problem-solving skills.
The author suggests that the percentage of work delegated to AI is not the primary indicator of dependency. Instead, the risk lies in delegating the critical thinking required to evaluate task complexity and results. Over-reliance on AI may erode personal expertise and the ability to function without automated assistance.
To maintain autonomy, the author proposes a self-assessment criterion: evaluating one's ability to complete a task independently without AI. If a task is well-understood and within one's expertise, delegating it to AI is considered a healthy use of technology, rather than a sign of dependency.
Separately, Sber has launched SberJDK, an industrial Java platform based on OpenJDK. The solution is included in the Unified Register of Russian Software and is available as open-source software, allowing for free use in corporate systems without licensing fees.
