The Backlog that thinks
What to settle before the first user story is refinedBy Haider Lasani
Length4h 43m
About this audiobook
AI can build software faster than ever. It still cannot tell you what you actually meant.
Someone types "just add login" into a chat. By morning an AI tool has turned it into a clean ticket, and a week later the team is arguing about password reset emails nobody agreed to build. The problem was never the model. It was the vague request.
The Backlog That Thinks is a practical guide for the people who decide what gets built: founders, CTOs, product owners, and engineers who now review code they did not write. When AI does the building, the backlog is where ownership lives. Through short stories from real teams, it shows you how to settle the decisions every story must answer, give AI the context to build your product instead of a generic one, cut work small enough to finish and prove, write acceptance criteria as plain tests, and review AI output you can trust.
The reward is quiet: fewer surprises, estimates that land, and a Friday that ends on time.
Book One of AI Builds, You Own.
Audiobook details
GenreEducation and Learning, Technology
Length4 hrs 43 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateMay 28, 2026
LanguageEnglish
Table of contents
1Preface
2Part I
3The Demo That Lied
4The Cost of a Vague Request
5Part II
Show all chaptersShow less
6The Eight Decisions Every Story Carries
7The Documents Beneath the Ticket
8The System the AI Can Read
9The Mirror Inside the Code
10Part III
11The Process the Work Deserves
12The Decision Before the Code
13The Work Small Enough to Finish
14The Moment Done Becomes Provable
15Part IV
16The Conversation That Settles the Work
17The Review That Protects the Product
18The Memory That Makes Estimates Better
19The Owner Behind the Story
20The Backlog That Thinks
21Case Studies
22Sources and Notes
23Glossary
24About the Author
Series
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