Decomposition

As explained in Coding with AI

Problem decomposition is the division of a complex task into smaller, manageable subtasks.

Problem decomposition divides a complex task into smaller, manageable steps. It turns an unclear goal into focused questions that can be handled through one prompt or a sequence of prompts. section 9.5.1

A practical decomposition workflow:

• Break the task into a logical sequence of subtasks. section 9.5.1
• Design a focused prompt for each subtask, encouraging explanation and attention to best practices. section 9.5.1
• Evaluate each response and continue narrowing the problem through follow-up questions. section 9.5.1

Decomposing an API request

For the goal of sending an HTTP GET request with Python’s requests library, separate the work into initializing the request, displaying the response body, and handling network errors or non-200 responses. Ask a focused prompt about each part, then review the results before moving on. section 9.5.1

Figure 9.6 A chain-of-thought prompt gets the model to reason out a problem like a human would. You break down the problem and experiment with answers until you get the results you desire.

Use the figure to visualize decomposition as an experiment: split the problem, try focused prompts, and refine the answers. section 9.5.1

How Coding with AI covers it

How deep it goes

Explains decomposition through subtasks, prompt design, and iterative evaluation, using an HTTP request as the worked scenario.

Examples

Uses container troubleshooting and a Python requests API call, including response display and network or status errors.

What you can do after

Apply it via sequential prompts to plan an HTTP GET request and guide focused follow-up questions.

How it connects

Connects problem decomposition with prompt engineering, HTTP requests, error handling, and iterative evaluation.

liveBookmanning.com

Read Coding with AI on liveBook Get the book at manning.com

Also explained in

• 

  liveBookmanning.com
  Learn AI-Assisted Python Programming, Second EditionTask decomposition is the practice of dividing a large problem or program into smaller, more manageable tasks or subproblems.
• 

  liveBookmanning.com
  Grokking ConcurrencyData decomposition is a parallel programming technique that partitions a collection of data into independent chunks and applies the same operation to each chunk.
• 

  liveBookmanning.com
  Get Programming: Learn to code with PythonThe technique of dividing a complex problem, task, or program into smaller, separately manageable parts.
• 

  liveBookmanning.com
  Machine Learning System DesignDecomposition is a release strategy that allows different system components to be deployed and managed independently.
• 

  liveBookmanning.com
  Functional Programming in JavaScript
• 

  liveBookmanning.com
  The Art of AI Product DevelopmentTask decomposition is the process of breaking a complex objective into smaller subtasks that can be planned or executed separately.
• 

  liveBookmanning.com
  AI Agents in Action, Second Edition
• 

  liveBookmanning.com
  Grokking AI ApplicationsA problem-solving technique that divides a complex request into smaller, ordered subtasks.
• 

  liveBookmanning.com
  Learn Concurrent Programming with GoTask decomposition is the technique of dividing a computation into distinct units of work that can be assigned or coordinated independently.

Compare how 10 books explain decomposition →

Related concepts

• top-down designequivalent to · Top-down design is a method that begins with a high-level system or task and progressively decomposes it into more specific components or subtasks.
• chain-of-thought promptingpart of · Chain-of-thought prompting is a technique that elicits or guides a model to produce or follow intermediate reasoning steps before a final answer.
• mapincludes · An operation that applies a function to values in a collection or computational context, producing corresponding results while preserving the collection or context’s structure.
• pipelineused by · A pipeline is an ordered or coordinated sequence of connected processing stages or tasks that passes data, work, or results toward an outcome.
• taskuses · A task is a defined unit of work, computation, or action directed toward a result or objective.
• granularityhas part · Granularity is the level of detail or fineness at which information, behavior, or a system is represented, grouped, or divided.

This explainer was generated by Manning's knowledge graph from the text of Coding with AI. The section links point to the parts of the book it draws on.