How to Build a 24‑Book AI‑Curated Reading List for Architecture & Management

Sharing a method to create a reading list using DeepSeek.

After providing personal goals, DeepSeek recommended 24 books, two per month, based on a specific prompt.

Technical Architecture (12 core classics)

Code Complete (2nd Edition) – Software construction encyclopedia (30‑year classic)

Design Patterns: Elements of Reusable Object‑Oriented Software – Classic by the “Gang of Four” (influenced millions of developers)

Refactoring: Improving the Design of Existing Code (2nd Edition) – Martin Fowler’s timeless work

Structure and Interpretation of Computer Programs – MIT classic textbook (frontend architecture thinking)

Domain‑Driven Design – Eric Evans, the bible of complex system design

Web Performance in Action – Ilya Grigorik (Google performance team experience)

JavaScript: The Good Parts and Programming Practice – Zhou Aimin (tailored for Chinese developers)

Frontend Architecture: From Basics to Micro‑Frontends – Huang Fengda (practical Chinese author)

Continuous Delivery: Reliable Software Release (Humble & Farley) – Origin of DevOps

Programming Pearls (2nd Edition) – Jon Bentley’s classic algorithms practice

Clean Architecture – Robert C. Martin (latest clean architecture practices)

Deep Understanding of TypeScript – Basarat Ali Syed (core contributor author)

Technical Management (12 must‑read classics)

The Mythical Man‑Month – Frederick Brooks (40 years of management wisdom)

The Effective Executive – Peter Drucker (founder of modern management)

Becoming a Technical Leader – Gerald M. Weinberg (problem‑solving leadership)

Leadership Traps – Jo Owen (common pitfalls for tech managers)

Nonviolent Communication – Marshall Rosenberg (Stanford‑recommended communication classic)

Team Topologies – Modern digital‑first team organization paradigm

The Phoenix Project – DevOps culture origin story

Measure What Matters – John Doerr (Google’s OKR method)

Drive – Daniel H. Pink (science of tech team motivation)

Thinking in Systems – Donella Meadows (tool for complex problem analysis)

Management 3.0 – Agile leadership practice

Core Competency Framework for Technical Managers – GeekTime column (localized practice)

DeepSeek’s reasoning impressed the author, echoing Liang Wenfeng’s view that human intelligence may essentially be language‑based.

We understand that human intelligence may essentially be language; thinking is a linguistic process.

The author finds DeepSeek more than a simple recommendation tool, describing it as an intelligent partner that understands needs and provides professional advice.

To master DeepSeek, the author recommends the book “DeepSeek: From Intro to Mastery”, which details its features, usage scenarios, and underlying principles, helping users formulate precise queries and evaluate suggestions across architecture and management topics.

The book is 104 pages; interested readers can request a link.