Mac Anderson

Field manual, second edition

How to Build Autonomous Coding Agents

Build the deterministic system around the model. Then operate the agents you run: identity, authority, budget, equipment, and a record another person can read.

A language model is a probabilistic engine. Almost everything around it can be decided in code: what it retrieves, what stays in its window, which step runs next, what it may do, what it may spend, and what gets recorded. Parts 1 to 13 build that system. Parts 14 to 20 show how to operate the agents you now run.

Mac Anderson21 parts27 sources24,568 words1 h 39 min to read
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Reading paths

Shorter routes through the book. Each one stands on its own.

Answer for several agents

13 min
  1. 14Give every agent its own identity
  2. 15Write the mandate
  3. 16The agent asks, a rule decides

Then: Parts 17 and 20, then part 13.

Review agent use for security or finance

10 min
  1. 16The agent asks, a rule decides
  2. 17Spend you can attribute

Then: Parts 15 and 19.

Contents

9 sections in reading order. Each row gives the part's claim and how long it takes.

  1. VI

    Measurement

    Measure the agent the way you measure a service.

    5 min in 1 part

    1. 13Measuring agent intelligenceBenchmarking on coding challenges misses what matters in production.5 min

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