Digital Shift

Learn how Retrieval-Augmented Generation (RAG) improves LLM accuracy by grounding answers in external data, reducing hallucinations, and boosting reliability in production.

Discover AI Prompt Engineering: the art of crafting optimized inputs for AI models to get better, more accurate results for your business needs.

Learn why early MVP success doesn’t scale and how teams must rethink systems, AI use, and architecture for sustainable growth.

Guide for CTOs on choosing the right partner for enterprise backend projects in Java and .NET, with insights on AI integration and scalability.

Learn how Claude Code works in enterprise backend systems, with real use cases for APIs, debugging, refactoring, and legacy modernization.

Discover the key differences between Claude Code and GitHub Copilot for enterprise backend systems. Learn which AI tool fits your team's needs best.

Discover how to introduce AI into mature Java systems to reduce cognitive load, manage dependencies, and scale engineering practices without risking stability.

Learn how Cursor IDE fits in enterprise environments with proper security review, compliance validation, and controlled rollout. Risks and requirements.