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AI in Dev Training: Productivity and Dilemmas

AI in Dev Training: Productivity and Dilemmas The Central Dilemma of AI in Software Engineering The most dangerous premise behind adopting code assistants is treating these systems like autopilot when, in practice, they operate more… 

Open-Source LLMs: The End of Proprietary Dominance

The New Order of Corporate Artificial Intelligence The inflection point has already happened: open-weight models stopped being merely a “good enough” alternative and started competing for the economic core of the corporate tech set. For… 

AI Agents: From Copilots to Selling Outcomes

1. What AI Agents are and why the market changed The corporate technology market is going through a structural transition: deterministic mechanization—based on fixed rules—is losing ground to systems with probabilistic autonomy. In traditional approaches,… 

AI models in cybersecurity

AI models in cybersecurity 1. The leap from assistants to autonomous agents: why AI models are changing cybersecurity The transition from passive conversational interfaces to autonomous agents marks a real shift in how security operates.… 

Creating Agents for Ecommerce

The era of agentic AI in digital retail The most essential shift in digital retail isn’t the quality of the textual response—it’s the ability to execute. A classic generative chatbot works like an attendant behind…