Daniel Pina | Practical AI EngineeringArticles by Daniel Pina about practical AI engineering and backend systems.https://danielpina.dev/enWhat MCP Is and Why Backend Engineers Should Carehttps://danielpina.dev/blog/what-mcp-is-and-why-backend-engineers-should-care/https://danielpina.dev/blog/what-mcp-is-and-why-backend-engineers-should-care/A practical explanation of MCP through the lens of APIs, integrations, tool access, and backend engineering habits.Sat, 11 Jul 2026 00:00:00 GMTmcpllm-toolingapisai-engineeringHow Backend Engineers Should Think About AI Agentshttps://danielpina.dev/blog/how-backend-engineers-should-think-about-ai-agents/https://danielpina.dev/blog/how-backend-engineers-should-think-about-ai-agents/A practical backend guide to designing AI agents with safe tools, explicit state, handoffs, and verification.Fri, 10 Jul 2026 00:00:00 GMTai-agentsbackend-engineeringpractical-ai-engineeringreliabilitytool-callingWhat I Mean by Practical AI Engineeringhttps://danielpina.dev/blog/what-i-mean-by-practical-ai-engineering/https://danielpina.dev/blog/what-i-mean-by-practical-ai-engineering/Practical AI engineering means building reliable AI systems with backend discipline: clear boundaries, evaluation, observability, and maintainable software around the model.Sun, 28 Jun 2026 00:00:00 GMTpractical-ai-engineeringai-engineeringbackend-engineeringllm-applicationsproduction-ai-systems