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The goal is always the same: a fast, accessible, and intuitive user experience.",{"id":250,"data":336,"type":42},{"text":337,"level":227},"Back-end Development",{"id":254,"data":339,"type":222},{"text":340},"Back-end development focuses on the server side: business logic, database access, authentication, security controls, API integrations, and system-level performance. It ensures that web applications process data reliably and respond correctly to user actions.",{"id":258,"data":342,"type":222},{"text":343},"Back-end development commonly uses languages such as PHP, Python, Ruby, Java, or C#, and relies on databases like MySQL and PostgreSQL. Many systems also include NoSQL databases such as MongoDB for analytics, logs, or flexible document storage.",{"id":262,"data":345,"type":42},{"text":346,"level":244},"Applications of Back-end Development",{"id":266,"data":348,"type":222},{"text":349},"Back-end development is used for building web applications, integrating third-party APIs, implementing security controls, and enabling scalability. Strong back-end foundations make it possible to handle high traffic and complex workflows without breaking reliability.",{"id":270,"data":351,"type":42},{"text":352,"level":227},"Summary",{"id":274,"data":354,"type":222},{"text":355},"Front-end and back-end development are tightly connected: the front end delivers the user experience, while the back end powers logic, data, and integrations. A strong system requires both sides to be designed with performance, security, and maintainability in mind.",{"lang":7,"title":208,"content":210,"contentJson":357,"excerpt":278},{"time":212,"blocks":358,"version":277},[359,361,363,365,367,369,371,373,375,377,379,381,383,385,387],{"id":215,"data":360,"type":42},{"text":217,"level":40},{"id":219,"data":362,"type":222},{"text":221},{"id":224,"data":364,"type":42},{"text":226,"level":227},{"id":229,"data":366,"type":222},{"text":231},{"id":233,"data":368,"type":222},{"text":235},{"id":237,"data":370,"type":222},{"text":239},{"id":241,"data":372,"type":42},{"text":243,"level":244},{"id":246,"data":374,"type":222},{"text":248},{"id":250,"data":376,"type":42},{"text":252,"level":227},{"id":254,"data":378,"type":222},{"text":256},{"id":258,"data":380,"type":222},{"text":260},{"id":262,"data":382,"type":42},{"text":264,"level":244},{"id":266,"data":384,"type":222},{"text":268},{"id":270,"data":386,"type":42},{"text":272,"level":227},{"id":274,"data":388,"type":222},{"text":276},"Post erfolgreich abgerufen",{"items":391,"source":420,"manualIds":421,"manualMatchedIds":422},[392,399,406,413],{"id":393,"slug":394,"title":395,"excerpt":396,"featuredImage":397,"publishedAt":398},"472","why-more-context-can-make-ai-answers-worse","Zašto više konteksta može pogoršati AI odgovore","Veći kontekstni prozor ne garantuje bolji odgovor. Ovaj članak objašnjava kako razblaživanje signala, protivrečni dokazi, zastarelo stanje, osetljivost na poziciju i kompresija sa gubicima mogu smanjiti pouzdanost veštačke inteligencije—i uvodi praktičan test pritiska konteksta.","\u002Fuploads\u002F2026\u002F09\u002Fwhy-more-context-can-make-ai-answers-worse-1790351615793-2ntv2v.webp","2026-09-25T11:51:00.000Z",{"id":400,"slug":401,"title":402,"excerpt":403,"featuredImage":404,"publishedAt":405},"364","tipps-fuer-die-verbesserung-der-seo-suchmaschinenoptimierung","Ovladavanje SEO radnim tokom: Ključne strategije optimizacije za organski rast","Strukturiran SEO tok posla je ključan za održiv organski rast. Naučite deset osnovnih strategija, od istraživanja ključnih reči i tehničke optimizacije do kvaliteta sadržaja i analize performansi.","\u002Fuploads\u002F2026\u002F03\u002Ftipps-fuer-die-verbesserung-der-seo-suchmaschinenoptimierung-1774866098131-hwkzrg.webp","2024-01-26T06:35:00.000Z",{"id":407,"slug":408,"title":409,"excerpt":410,"featuredImage":411,"publishedAt":412},"467","the-answer-validity-boundary-the-missing-layer-between-relevance-and-reliable-ai-answers","Granica valjanosti odgovora: Nedostajući sloj između relevantnosti i pouzdanih AI odgovora","Izvor može biti relevantan, autoritativan i ipak pogrešan za pitanje koje se postavlja. Sloj koji nedostaje je primenljivost: uslovi pod kojima odgovor važi i promene koje ga primoravaju na preispitivanje. Ovaj članak predstavlja Granicu važenja odgovora kao obrazac za dizajn izvora za ljude, AI pretragu i RAG sisteme.","\u002Fuploads\u002F2026\u002F09\u002Fthe-answer-validity-boundary-the-missing-layer-between-relevance-and-reliable-ai-answers-1790272901306-1g5jly.webp","2026-09-24T11:59:00.000Z",{"id":414,"slug":415,"title":416,"excerpt":417,"featuredImage":418,"publishedAt":419},"468","ai-agent-memory-is-not-rag-how-to-separate-memory-retrieval-state-and-context","Memorija AI agenta nije RAG: Kako razdvojiti memoriju, pronalaženje, stanje i kontekst","Memorija agenta, RAG, stanje i kontekst često se koriste kao da su međusobno zamenjivi. Oni to nisu. Ovaj praktični arhitektonski model razdvaja ova četiri sloja, pokazuje gde svaki pripada i objašnjava šta se kvari kada ih sistemi stope u jedno.","\u002Fuploads\u002F2026\u002F09\u002Fai-agent-memory-is-not-rag-how-to-separate-memory-retrieval-state-and-context-1790350560308-np0xy6.webp","2026-09-25T11:34:00.000Z","fallback",[],[]]