Free Lesson
Build an Agent That Improves Itself
60 min
Oct 10, 2026 5:00 AM
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What you'll learn
Understand Self-Evolving Agents
Learn what makes an agent self-evolving and how it differs from memory, reflection, or a standard agent workflow.
Build a Feedback-to-Learning Loop
Learn how agents can turn human feedback & task outcomes into persistent improvements to their rules, skills & behaviour
Improve Agents Safely
Use evaluations, versioning, and approval gates to validate changes before they become part of the agent’s behaviour.
Why this topic matters
Most AI agents can perform tasks, but they don’t reliably improve from feedback.
Self-evolving agents turn signals like code reviews, test failures, and developer corrections into persistent improvements.
This helps engineering teams reduce repeated mistakes, capture team-specific knowledge, and build agents that get better over time without retraining the underlying model.
