Anthropic's 5 workshops on Loop Engineering provide a blueprint for building proactive agents, managed agents, team feedback, evals, and self-improvement loops.

Designing autonomous loops with a separate verification agent that evaluates executor output against success criteria enables 24/7 task completion without human intervention.

Boris Cherny, creator of Claude Code, writes loops instead of prompts for coding agent workflows, achieving higher automation.

Implementing loops in AI agent workflows dramatically improves success rate, more than the model choice.

Agentic engineering is about combining agents with deterministic code (linters, tests) in a software factory workflow, not just loops.

Agentic engineering is about combining agents, deterministic code, and human review in a software factory workflow, not just loops.

Agentic engineering means combining agents with deterministic code (linters, tests) in a software factory workflow, not just loops.

Agentic engineering is about building AI developer workflows combining agents and deterministic code, not just loops.

Agent loops can be categorized into turn-based, goal-based, time-based, and proactive, each suited for different task types.

Agentic engineering is about building AI developer workflows inside your software factory, not just loops.

Agent loops can be classified into four types based on trigger and termination, each suited to different task characteristics.

Agentic engineering is about composing AI developer workflows inside a software factory, not just building loops.