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Agnetlearn; From first principles to reliable agents

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Terms in this piece · Glossary
  • context engineering — Deciding what an agent sees at each step — the discipline that replaced prompt engineering once context windows got large enough to fill badly.
  • tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
  • prompt injection — An attack that hides instructions in content an AI will read — a webpage, email, or document — tricking it into following the attacker instead of the user.
  • multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
Why it matters

AgentLearn packages 42 lessons and interactive labs on building and evaluating AI agents, covering , memory, MCP, defenses, and production scaling in one place.

Read the source agentlearn.dev
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