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Building Is the Easy Part: How to Build Reliable Software with AI- Even If You've Never Written Code
Paperback
ISBN13: 9789887264118
Publisher: Agatha Ho
Published: Sep 16 2026
Pages: 222
Weight: 0.67
Height: 0.47 Width: 6.00 Depth: 9.00
Language: English
AI can write the code. But how do you know the software it builds actually works the way it should?
You no longer need to be a programmer to build software.
Describe what you want, and AI can generate features, fix bugs, make changes, and turn an idea into working software faster than ever before.
But there's a problem.
A feature can work exactly as requested and still be wrong.
AI can make a change that fixes one problem while quietly creating another. It can make assumptions you never approved, produce tests that appear to pass, and confidently tell you something works when the evidence says otherwise.
When AI is doing work you may not know how to do yourself, how do you know what to trust?
Building Is the Easy Part gives you a practical foundation for building reliable software with AI-even if you've never written code.
You'll learn how to:
- Start with the problem, then turn what must be true into clear requirements and behavior AI can build from
- Decide what AI may do and which decisions still require human judgment
- Give AI reliable project context without depending on conversation history as your project record
- Keep track of what changed, why it changed, and the decisions and evidence behind it
- Test what the software actually does instead of accepting AI's claim that it works
- Look for unintended effects when a change reaches beyond the feature you meant to modify
- Judge what the evidence supports, what remains uncertain, and whether you have enough confidence to proceed
- Apply stronger controls as the consequences increase-and recognize when qualified human expertise is required
- Make deliberate decisions about acceptance, release, recovery, and what happens after the software is in use
This isn't a book about memorizing programming languages or learning to write code yourself.
It's about learning how to direct the work, examine the evidence, and retain authority over what gets built while AI carries more of the technical execution.
You don't need to know everything the AI knows. You need to understand the purpose, evidence, consequences, and decisions surrounding the work well enough to decide what happens next.
AI has made it possible for almost anyone to build software.
The question is no longer whether you can build it. It's whether you know how to build something you can trust.
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