As agent-based systems grow, a single agent handling everything stops working.You need multiple AI agents, each with a clear role, working toward one outcome. That is where AI agents succeed or fail in production. In… Most real-world AI agent problems are coordination problems, not intelligence problems.
Earlier, a large part of engineering time was spent translating intent into code.That translation step is what has shrunk. AI now converts a clear mental model into working code in minutes. What did not shrink… Coding agents did not make product building faster. They moved where the time goes
I was reading this Anthropic engineering article on building agents, and one section stood out for its clarity and honesty:https://www.anthropic.com/engineering/building-agents-with-the-claude-agent-sdk The part on semantic search is especially worth attention. Semantic search works by chunking context,… Everyone is reaching for vector search. Few stop to ask if it is actually the right tool
Not because the model is weak.Not because embeddings are bad.But because the data feeding them is messy. Retrieval Augmented Generation only works as well as the structure of the data behind it. If your inputs… Most RAG systems fail for a reason no one talks about
They do not. I see this confusion often when discussing RAG systems and semantic search, so here is a simple way to separate the two. A vector index is a data structure. Its job is… Most engineers use “vector index” and “vector database” as if they mean the same thing
The article made one thing very clear.Agents do not fail because models are weak.They fail because context is poorly managed. Context engineering is about deciding what information lives inside the context window at every step… I read a great piece on context engineering for AI agents, and it changed how I think about agent design
Early in your career, doing many things at once feels like progress. You say yes to everything, context switch constantly, and measure impact by how busy you are. At senior levels, that approach breaks. The… Unlearning becomes essential as you grow into senior roles
I recently read a deep article on context engineering, and it clarified why so many AI systems look impressive in demos but break in production. The core idea is simple.AI quality depends less on clever… Prompts are rarely the real problem. Context is.
Most people think prompting is about asking sharper questions.My experience taught me something different. LLMs perform at their best when you give them the right context. Not just hints or fragments. Real context that mirrors… What I learned after 3 years of working with LLMs