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The mistakes and trade-offs that repeatedly show up in working code.
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Most Spring Boot microservices projects are three CRUD apps in Docker with a Eureka server; here is what actually makes it a distributed-systems project, and what to cut.
Read the articleViva questions cluster into a few recognisable families, and in most vivas every one of them ends with the same follow-up: show me where that happens in the code.
A localhost screenshot says "I got it working once." A live URL says "this runs without me." Here is the shortest honest path from your laptop to a real deployment: Docker, secrets, a health check, TLS, and CI/CD that ships on merge.
Most RAG chatbot projects fail at retrieval, not generation — here is how to chunk on structure, store in pgvector, measure recall@k, and build a refusal path that actually fires.
A mini project is one hard thing done properly in four weeks. A major project is a system. Here is how to scope either one so you can actually finish it — and defend it.
A 98% accuracy score on a real-world dataset is almost never a good model — it is a leak, and here are the four that cause it.
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The mistakes and trade-offs that repeatedly show up in working code.
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