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Jargon you'll hear

I'll unpack each of these as we go — for now, just let them wash over you.

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vibe coding — describing what you want in plain English and hoping the AI nails it

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agentic engineering — building guardrails so AI acts like a reliable teammate, not a gamble

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progressive disclosure — feeding the AI only what it needs right now, not everything upfront

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orchestration — coordinating several AI agents like a conductor leads a band

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dumb zone — the stretch where AI has too much context and starts thinking worse, not better

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agentic workflows — AI that plans, acts, checks its work, and adapts — multi-step on its own

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MCP — a universal adapter letting AI talk to your tools (GitHub, Slack, databases)

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hooks — auto-triggers that run your rules before or after the AI does anything

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harness — the scaffolding around the model — files, terminal, tools — that turns a chatbot into a worker

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compaction — auto-summarizing old chat so the AI keeps going without hitting its memory ceiling

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context engineering — deliberately curating what the AI sees so it answers well

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context rot — quality decay as the conversation drags on and earlier details blur

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prompt engineering — the craft of phrasing requests so the AI understands exactly what you mean

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AI slop — low-effort, generic AI output that looks polished but says nothing

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hallucination — when AI confidently makes up facts that sound true but aren’t

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context bloat — overstuffing the AI’s memory so it slows down and loses focus

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one-shot prompting — giving the AI one example and asking it to follow the same pattern

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token burn — wasting expensive AI “words” on unnecessary back-and-forth or bloated prompts

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