Software-Development — TechCom

From code development to AI system administration for enterprise engineers

Mon, 22 Jun 2026 06:11:06 +0300

The role of the enterprise developer is undergoing fundamental changes this year and in the coming ones. There is a shift from a paradigm where the developer primarily writes code to managing complex AI systems. This change requires new skills, tools, and approaches to security, especially in critical infrastructure such as banking and financial institutions.

AI in development: a new landscape for enterprise development

AI in development is not about integrating AI models into existing applications, but a fundamental change in the approach to software creation. In this architecture, AI is not an auxiliary tool but a central component involved in cognitive work that was previously the prerogative of humans: analysis, decision-making, and evaluation.

Corporate AI requirements: the necessity of domain-specific language models

Thu, 18 Jun 2026 06:07:17 +0300

The integration of artificial intelligence into corporate processes is no longer a future prospect but a practical reality. However, when it comes to critical data, specific business processes, and stringent security requirements, general large language models (LLMs) often prove insufficient. This year and in the coming ones, a clear trend is observed: enterprises are increasingly turning to domain-specific language models (DSLM) that enable greater accuracy, control, and compliance with regulatory norms.

AI Agents in Enterprise: Automating Tasks and Supporting Decisions

Wed, 08 Apr 2026 09:00:00 +0300

Large Language Models (LLMs) have redefined the capabilities of software. However, in an enterprise context, the true value of AI is unlocked through integration with business processes, where an AI agent doesn't just respond but actively performs actions within systems.

What is an AI Agent in an Enterprise Context?

An AI agent is a software component capable of independently planning a sequence of actions to achieve a specific goal, leveraging a set of available tools. In an enterprise environment, these 'tools' typically refer to the APIs of corporate systems such as ERP, ECM, CRM, databases, and external registries.

Deploying domain-specific AI models in enterprise environments

Mon, 23 Mar 2026 16:52:43 +0200

In 2026, the corporate environment is undergoing a significant transformation, where artificial intelligence is moving from experimental projects to the core of new solution architectures. The 2026-2027 horizon is defining, as large-scale AI integration into business processes is occurring now, demanding a shift from general models to highly specialized ones. According to Gartner, by 2028, over half of the GenAI models enterprises will use will be domain-specific, underscoring the relevance of this direction today. This trend is driven by the need for deeper automation of cognitive work and decision-making, as well as the necessity to manage AI risks beyond standard approaches.