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Not every AI task needs an agent. Use this practical mental model to choose ordinary code, a workflow, or an agent without adding unnecessary complexity.
Subham Chand
Sep 4, 20266 min read10 views
CareerUse topics and independent subscriptions to let one event trigger multiple decoupled workflows.
CareerUse a message queue to move slow follow-up work out of a synchronous request path, then measure and control the backlog." keywords
CareerTurn your RAG pipeline into a useful study assistant that answers questions from notes or PDFs and shows its evidence." keywords
CareerConsistent hashing maps keys and servers onto a ring so topology changes affect a limited neighboring range instead of disturbing the entire keyspace.
CareerBuild a simple mental model for retrieval-augmented generation and learn why retrieve first, generate second leads to more grounded answers.
CareerChoose a consistency model by deciding whether an access pattern can safely tolerate a stale read.
CareerChunking decides what your retrieval system can find. Learn how to split documents without destroying useful context.
CareerCAP theorem is not a permanent pick-two rule. It describes the choice between consistency and availability when a network partition prevents replicas from communicating.
CareerUnderstand the meaning-map mental model behind embeddings and use semantic search to retrieve a relevant note even when the wording differs.
CareerSplit one large dataset across database servers, then choose a shard key that spreads data and traffic without making common queries unnecessarily expensive.
CareerAI agents can sound confident even when their answers are unsupported. Day 11 teaches a practical evidence-first method for recognizing hallucinations.