𝟭. 𝗚𝗲𝗻𝗲𝗿𝗮𝗹: 🔹 The Pragmatic Programmer by David Thomas and Andrew Hunt 🔹 Modern Software Engineering by David Farley 🔹 Code Complete by Steve McConnell 🔹 Grokking Simplicity by Eric Normand 🔹 Software Engineering at Google by Titus Winters

𝟮. 𝗗𝗮𝘁𝗮 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 𝗮𝗻𝗱 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀: 🔹 Grokking Algorithms by Aditya Bhargava 🔹 Algorithms by Sanjoy Dasgupta 🔹 The Art of Computer Programming by Donald Knuth 🔹 Data Structures and Algorithms Made Easy by Narasimha Karumanchi 🔹 Introduction to

𝟯. 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀: 🔹 Designing Distributed Systems by Brendan Burns 🔹 Designing Data-Intensive Applications by Martin Kleppmann 🔹 Distributed Systems by Maarten van Steen and Andrew Tanenbaum 🔹 Distributed Algorithms by Nancy Lynch 🔹 Distributed

𝟰. 𝗕𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: 🔹 Clean Code by Robert C. Martin 🔹 Design Patterns by Gang of Four 🔹 Refactoring by Martin Fowler 🔹 The Effective Engineer by Edmond Lau 🔹 The Pragmatic Programmer by David Thomas and Andrew Hunt

𝟱. 𝗗𝗮𝘁𝗮: 🔹 Data Modeling Essentials by Graeme Simsion 🔹 Learning SQL by Alan Beaulieu 🔹 Fundamentals of Data Engineering by Joe Reis and Matt Housley 🔹 The Data Warehouse Toolkit by Ralph Kimball 🔹 Streaming Systems by Tyler Akidau

𝟲. 𝗗𝗲𝘃𝗢𝗽𝘀: 🔹 The DevOps Handbook by Gene Kim 🔹 Continuous Delivery by Jez Humble and David Farley 🔹 Accelerate by Nicole Forsgren 🔹 Effective DevOps by Jennifer Davis and Ryn Daniels 🔹 Site Reliability Engineering by Google

𝟳. 𝗧𝗲𝘀𝘁𝗶𝗻𝗴: 🔹 Growing Object-Oriented Software, Guided by Tests by Steve Freeman and Nat Pryce 🔹 Unit Testing by Vladimir Khorikov 🔹 Unit Testing Principles, Practices, and Patterns by Vladimir Khorikov 🔹 Test Driven Development by Kent Beck 🔹 Working Effectively

𝟴. 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: 🔹 Software Architecture Patterns by Mark Richards 🔹 Clean Architecture by Robert C. Martin 🔹 Software Architecture: The Hard Parts by Neal Ford and Mark Richards 🔹 Building Microservices by Sam Newman 🔹 Domain-Driven Design by Eric Evans

𝟵. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗔𝗜: 🔹 The Hundred-Page Machine Learning Book by Andriy Burkov 🔹 Designing Machine Learning Systems by Chip Huyen 🔹 AI Engineering by Chip Huyen 🔹 Hands-On Machine Learning by Aurélien Géron 🔹 Design Patterns for Machine Learning

𝟭𝟬. 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽: 🔹 The Five Dysfunctions of a Team by Patrick Lencioni 🔹 Drive by Daniel Pink 🔹 The Making of a Manager by Julie Zhuo 🔹 Radical Candor by Kim Scott 🔹 Turn the Ship Around by David Marquet

𝟭𝟭. 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 🔹 How to Win Friends & Influence People by Dale Carnegie 🔹 Deep Work by Cal Newport 🔹 The Effective Executive by Peter Drucker 🔹 Atomic Habits by James Clear 🔹 Mindset by Carol Dweck

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@milan_milanovic This is nice in theory, but doesn’t work in reality. The art of computer programming by itself would take you almost a year to actually read and work through the problem sets to understand the concepts within.

@milan_milanovic By the time you will finish these books, entire software engineering could have been changed

@milan_milanovic Not even one single book on security? DevSecOps, shift left and all that jazz ?

@milan_milanovic An excellent list 👌

@milan_milanovic Excellent compilation! Clean Code and Designing Data-Intensive Applications remain essential. The mix of fundamentals (algorithms) with modern topics (ML/AI, leadership) creates a well-rounded learning path.

@milan_milanovic You guys read books ??