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Books like Algorithm Design

Algorithms
by Panos Louridas • 2020
Twenty steps to find one item in a million, and the hidden logic that runs our world.
4.03
302
📐 Algorithm Design💻 Computing Primers🕸️ Graph Theory
Algorithms Summary
Algorithms 96%
Twenty steps to find one item in a million, and the hidden logic that runs our world.
by Panos Louridas 2020
4.03
302 ratings
📐 Algorithm Design💻 Computing Primers🕸️ Graph Theory
A Common-Sense Guide to Data Structures and Algorithms
by Jay Wengrow • 2017
The algorithm knowledge that turns working code into fast code, explained without the math degree.
4.39
603
🧱 Data Structures⏱️ Algorithm Analysis🧠 Algorithmic Thinking
A Common-Sense Guide to Data Structures and Algorithms Summary
A Common-Sense Guide to Data Structures and Algorithms 95%
The algorithm knowledge that turns working code into fast code, explained without the math degree.
by Jay Wengrow 2017
4.39
603 ratings
🧱 Data Structures⏱️ Algorithm Analysis🧠 Algorithmic Thinking
Once Upon an Algorithm
by Martin Erwig • 2017
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
3.63
265
🧠 Computational Thinking📐 Algorithm Design📖 Story-Driven Education
Once Upon an Algorithm Summary
Once Upon an Algorithm 93%
What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.
by Martin Erwig 2017
3.63
265 ratings
🧠 Computational Thinking📐 Algorithm Design📖 Story-Driven Education
Nine Algorithms That Changed the Future
by John MacCormick • 2012
The hidden algorithms behind search and security, and the one problem no machine can solve.
3.89
2k+
📘 Algorithms Explained🧠 Computational Thinking🌐 Digital Infrastructure
Nine Algorithms That Changed the Future Summary
Nine Algorithms That Changed the Future 92%
The hidden algorithms behind search and security, and the one problem no machine can solve.
by John MacCormick 2012
3.89
2k+ ratings
📘 Algorithms Explained🧠 Computational Thinking🌐 Digital Infrastructure
Computational Thinking
by Peter J. Denning • 2019
It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.
3.63
304
💭 Computational Thinking🕰️ History Of Computing🎨 Design Thinking
Computational Thinking Summary
Computational Thinking 92%
It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.
by Peter J. Denning 2019
3.63
304 ratings
💭 Computational Thinking🕰️ History Of Computing🎨 Design Thinking
How to Speak Machine
by John Maeda • 2019
Loops, scale, and unfinished products: what computers know that designers must learn.
3.69
521
🖥️ Computational Thinking📱 Digital Design🔄 Iterative Development
How to Speak Machine Summary
How to Speak Machine 91%
Loops, scale, and unfinished products: what computers know that designers must learn.
by John Maeda 2019
3.69
521 ratings
🖥️ Computational Thinking📱 Digital Design🔄 Iterative Development
Thinking Better
by Marcus du Sautoy • 2021
Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.
3.59
618
🧮 Mathematical Thinking🧠 Mental Shortcuts🔍 Pattern Recognition
Thinking Better Summary
Thinking Better 91%
Mathematical shortcuts that save time, solve problems, and show you what everyone else overlooks.
by Marcus du Sautoy 2021
3.59
618 ratings
🧮 Mathematical Thinking🧠 Mental Shortcuts🔍 Pattern Recognition
The Nature of Code
by Daniel Shiffman • 2012
Code that breathes: how to build simulations that move, think, and evolve on your screen.
4.57
502
🎨 Creative Coding🖼️ Generative Art🟩 Cellular Automata
The Nature of Code Summary
The Nature of Code 91%
Code that breathes: how to build simulations that move, think, and evolve on your screen.
by Daniel Shiffman 2012
4.57
502 ratings
🎨 Creative Coding🖼️ Generative Art🟩 Cellular Automata
Automate This
by Christopher Steiner • 2012
Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.
3.82
4k+
📈 Algorithmic Trading🤖 Automation And Society💻 Computational Thinking
Automate This Summary
Automate This 90%
Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.
by Christopher Steiner 2012
3.82
4k+ ratings
📈 Algorithmic Trading🤖 Automation And Society💻 Computational Thinking
The Ethical Algorithm
by Michael Kearns • 2019
Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.
4.10
671
⚖️ Algorithmic Bias🔒 Data Privacy🤖 Ai Ethics
The Ethical Algorithm Summary
The Ethical Algorithm 90%
Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.
by Michael Kearns 2019
4.10
671 ratings
⚖️ Algorithmic Bias🔒 Data Privacy🤖 Ai Ethics
Numsense! Data Science for the Layman
by Annalyn Ng • 2017
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
4.14
622
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics
Numsense! Data Science for the Layman Summary
Numsense! Data Science for the Layman 90%
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
by Annalyn Ng 2017
4.14
622 ratings
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics
Algorithms to Live By
by Brian Christian • 2016
When to settle, when to quit, when to trust chance: computer science already found the answers.
4.12
35k+
🧠 Algorithmic Thinking🔬 Decision Science📊 Bayesian Reasoning
Algorithms to Live By Summary
Algorithms to Live By 90%
When to settle, when to quit, when to trust chance: computer science already found the answers.
by Brian Christian 2016
4.12
35k+ ratings
🧠 Algorithmic Thinking🔬 Decision Science📊 Bayesian Reasoning
Game Development Patterns and Best Practices
by John P. Doran • 2017
Design patterns that ship games: when to use each and how they prevent late-stage collapse.
3.90
20
🎮 Game Development🧩 Design Patterns🧹 Clean Code
Game Development Patterns and Best Practices Summary
Game Development Patterns and Best Practices 90%
Design patterns that ship games: when to use each and how they prevent late-stage collapse.
by John P. Doran 2017
3.90
20 ratings
🎮 Game Development🧩 Design Patterns🧹 Clean Code
Robin Hood Math
by Noah Giansiracusa • 2025
Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.
3.91
185
🧮 Algorithmic Literacy🛡️ Digital Self-Defense📐 Applied Mathematics
Robin Hood Math Summary
Robin Hood Math 90%
Algorithms price your insurance, rank your resume, curate your reality. The math that fights back.
by Noah Giansiracusa 2025
3.91
185 ratings
🧮 Algorithmic Literacy🛡️ Digital Self-Defense📐 Applied Mathematics
Designing Data-Intensive Applications
by Martin Kleppmann • 2015
Networks fail, clocks drift, consensus is elusive. The big ideas behind systems that work anyway.
4.70
11k+
🖥️ Distributed Systems🗄️ Database Design🤝 Consensus Algorithms
Designing Data-Intensive Applications Summary
Designing Data-Intensive Applications 90%
Networks fail, clocks drift, consensus is elusive. The big ideas behind systems that work anyway.
by Martin Kleppmann 2015
4.70
11k+ ratings
🖥️ Distributed Systems🗄️ Database Design🤝 Consensus Algorithms
How Computers Really Work
by Matthew Justice • 2020
From transistor to web: the computing stack explained layer by layer, no prerequisites required.
4.35
160
🏗️ Computer Architecture⚡ Digital Electronics🧱 Abstraction Layers
How Computers Really Work Summary
How Computers Really Work 89%
From transistor to web: the computing stack explained layer by layer, no prerequisites required.
by Matthew Justice 2020
4.35
160 ratings
🏗️ Computer Architecture⚡ Digital Electronics🧱 Abstraction Layers
Designing Interface Animation
by Val Head • 2016
Make your UI feel fast, smart, and alive. The motion rules for cognitive ease and 60fps performance.
4.16
82
🧩 Interface Animation🎬 Motion Design🎞️ Classical Animation
Designing Interface Animation Summary
Designing Interface Animation 89%
Make your UI feel fast, smart, and alive. The motion rules for cognitive ease and 60fps performance.
by Val Head 2016
4.16
82 ratings
🧩 Interface Animation🎬 Motion Design🎞️ Classical Animation
Rage Inside the Machine
by Robert Elliott Smith • 2019
Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.
3.97
145
🧩 Algorithmic Bias🤖 AI Ethics💻 Tech Criticism
Rage Inside the Machine Summary
Rage Inside the Machine 89%
Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.
by Robert Elliott Smith 2019
3.97
145 ratings
🧩 Algorithmic Bias🤖 AI Ethics💻 Tech Criticism
High Performance Web Sites
by Steve Souders • 2007
The browser, not the backend, eats your load time. The engineering rules that win it back.
4.15
688
🚀 Web Performance⚙️ Performance Engineering📡 HTTP Optimization
High Performance Web Sites Summary
High Performance Web Sites 89%
The browser, not the backend, eats your load time. The engineering rules that win it back.
by Steve Souders 2007
4.15
688 ratings
🚀 Web Performance⚙️ Performance Engineering📡 HTTP Optimization
What's the Use?
by Ian Stewart • 2021
Kidney matches, secure websites, movie animation: the invisible math that built the modern world.
3.54
175
📐 Applied Mathematics📊 Mathematical Modeling🔍 Hidden Mathematics
What's the Use? Summary
What's the Use? 89%
Kidney matches, secure websites, movie animation: the invisible math that built the modern world.
by Ian Stewart 2021
3.54
175 ratings
📐 Applied Mathematics📊 Mathematical Modeling🔍 Hidden Mathematics
Modern Software Engineering
by David Farley • 2021
Software is not a craft; it's a science. The discipline that turns teams into learning machines.
4.16
1k+
🔬 Scientific Engineering🔄 Continuous Delivery🔁 Feedback Loops
Modern Software Engineering Summary
Modern Software Engineering 89%
Software is not a craft; it's a science. The discipline that turns teams into learning machines.
by David Farley 2021
4.16
1k+ ratings
🔬 Scientific Engineering🔄 Continuous Delivery🔁 Feedback Loops
Code Complete
by Steve McConnell • 1993
Software construction eats 80 percent of project time and hides most defects. A disciplined craft.
4.30
9k+
📐 Software Engineering🔍 Code Quality🛡️ Defensive Programming
Code Complete Summary
Code Complete 89%
Software construction eats 80 percent of project time and hides most defects. A disciplined craft.
by Steve McConnell 1993
4.30
9k+ ratings
📐 Software Engineering🔍 Code Quality🛡️ Defensive Programming
Cryptography
by Keith M. Martin • 2020
Your digital life depends on secret math. Who should be able to break it?
3.96
174
🔒 Digital Security🔐 Encryption👁️ Digital Privacy
Cryptography Summary
Cryptography 89%
Your digital life depends on secret math. Who should be able to break it?
by Keith M. Martin 2020
3.96
174 ratings
🔒 Digital Security🔐 Encryption👁️ Digital Privacy
Everyday Chaos
by David Weinberger • 2019
A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.
3.78
202
🔬 Complexity Science🔄 Systems Thinking🤖 Machine Learning
Everyday Chaos Summary
Everyday Chaos 89%
A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.
by David Weinberger 2019
3.78
202 ratings
🔬 Complexity Science🔄 Systems Thinking🤖 Machine Learning
Buddhism
by Damien Keown • 1996
Buddhism has no god, no bible, no pope. What holds its many traditions together?
3.74
3k+
📖 Introductory Buddhism☸️ Buddhist Philosophy🛕 Theravada Buddhism
Buddhism Summary
Buddhism 89%
Buddhism has no god, no bible, no pope. What holds its many traditions together?
by Damien Keown 1996
3.74
3k+ ratings
📖 Introductory Buddhism☸️ Buddhist Philosophy🛕 Theravada Buddhism
Shape
by Jordan Ellenberg • 2021
Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.
3.73
2k+
🧮 Popular Mathematics🔗 Network Theory🎲 Randomness And Probability
Shape Summary
Shape 89%
Geometry is not about triangles. It is the hidden structure of pandemics, search, and democracy.
by Jordan Ellenberg 2021
3.73
2k+ ratings
🧮 Popular Mathematics🔗 Network Theory🎲 Randomness And Probability
The Art of Doing Science and Engineering
by Richard W. Hamming • 1996
What separates great scientists from good ones: they pick better problems.
4.18
2k+
🧠 Scientific Thinking⚙️ Engineering Practice💻 Computational Thinking
The Art of Doing Science and Engineering Summary
The Art of Doing Science and Engineering 89%
What separates great scientists from good ones: they pick better problems.
by Richard W. Hamming 1996
4.18
2k+ ratings
🧠 Scientific Thinking⚙️ Engineering Practice💻 Computational Thinking
Refactoring UI
by Adam Wathan • 2018
Why developers build ugly interfaces, and the constraint system that fixes them.
4.65
2k+
🎨 UI Design🧩 Design Systems📐 Visual Hierarchy
Refactoring UI Summary
Refactoring UI 89%
Why developers build ugly interfaces, and the constraint system that fixes them.
by Adam Wathan 2018
4.65
2k+ ratings
🎨 UI Design🧩 Design Systems📐 Visual Hierarchy
Why Machines Learn
by Anil Ananthaswamy • 2024
The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.
4.38
1k+
📜 History Of Ai🧬 Deep Learning🧠 Neural Network Theory
Why Machines Learn Summary
Why Machines Learn 89%
The perceptron flopped but the math stayed: the linear algebra and calculus that built the AI age.
by Anil Ananthaswamy 2024
4.38
1k+ ratings
📜 History Of Ai🧬 Deep Learning🧠 Neural Network Theory
The Sciences of the Artificial
by Herbert A. Simon • 1969
A science of the artificial: how constrained minds design systems that work in a complex world.
4.29
669
🧪 Complexity Science🎨 Design Theory🧠 Cognitive Science
The Sciences of the Artificial Summary
The Sciences of the Artificial 89%
A science of the artificial: how constrained minds design systems that work in a complex world.
by Herbert A. Simon 1969
4.29
669 ratings
🧪 Complexity Science🎨 Design Theory🧠 Cognitive Science
Designing Games
by Tynan Sylvester • 2013
Build games as emotion machines: a systems guide to rules, choices, and difficulty.
4.47
517
🎮 Game Design🧠 Player Psychology🔄 Iterative Design
Designing Games Summary
Designing Games 89%
Build games as emotion machines: a systems guide to rules, choices, and difficulty.
by Tynan Sylvester 2013
4.47
517 ratings
🎮 Game Design🧠 Player Psychology🔄 Iterative Design
How Data Happened
by Chris Wiggins • 2023
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
3.54
467
🧮 History Of Statistics🏛️ Data And Society⚖️ Data Ethics
How Data Happened Summary
How Data Happened 89%
Data was never neutral. How statistics went from serving kings to fueling the attention economy.
by Chris Wiggins 2023
3.54
467 ratings
🧮 History Of Statistics🏛️ Data And Society⚖️ Data Ethics
Clean Code
by Robert C. Martin • 2007
Reading code dominates a developer's day; these rules keep your colleagues from cursing your name.
4.35
24k+
🛠️ Software Craftsmanship📖 Code Readability🔄 Refactoring
Clean Code Summary
Clean Code 89%
Reading code dominates a developer's day; these rules keep your colleagues from cursing your name.
by Robert C. Martin 2007
4.35
24k+ ratings
🛠️ Software Craftsmanship📖 Code Readability🔄 Refactoring
Predictive Analytics For Dummies
by Anasse Bari • 2013
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
3.74
111
📊 Data Science🔮 Predictive Modeling🐥 Beginner Guides
Predictive Analytics For Dummies Summary
Predictive Analytics For Dummies 89%
A guide to building models that forecast, classify, and find hidden patterns, without a math degree.
by Anasse Bari 2013
3.74
111 ratings
📊 Data Science🔮 Predictive Modeling🐥 Beginner Guides
Inside the Black Box
by Rishi K. Narang • 2009
Quant trading isn't opaque. It's a chain of simple models working together. Here's the architecture.
3.81
188
📊 Quantitative Finance🤖 Algorithmic Trading⚡ High-Frequency Trading
Inside the Black Box Summary
Inside the Black Box 89%
Quant trading isn't opaque. It's a chain of simple models working together. Here's the architecture.
by Rishi K. Narang 2009
3.81
188 ratings
📊 Quantitative Finance🤖 Algorithmic Trading⚡ High-Frequency Trading
Designing Machine Learning Systems
by Chip Huyen • 2022
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
4.45
1k+
⚙️ Machine Learning Engineering🔧 Mlops🔄 Iterative Design
Designing Machine Learning Systems Summary
Designing Machine Learning Systems 89%
Accuracy is not enough. An iterative playbook for machine learning systems that survive production.
by Chip Huyen 2022
4.45
1k+ ratings
⚙️ Machine Learning Engineering🔧 Mlops🔄 Iterative Design
Notes on the Synthesis of Form
by Christopher W. Alexander • 1964
Intuition fails modern design. The answer: map all failures, then solve one subsystem at a time.
4.06
758
🛠️ Design Methodology🏛️ Architectural Theory🔗 Systems Thinking
Notes on the Synthesis of Form Summary
Notes on the Synthesis of Form 89%
Intuition fails modern design. The answer: map all failures, then solve one subsystem at a time.
by Christopher W. Alexander 1964
4.06
758 ratings
🛠️ Design Methodology🏛️ Architectural Theory🔗 Systems Thinking
A Philosophy of Software Design
by John Ousterhout • 2018
Your codebase rots from the inside out. The design skill that stops it.
4.22
5k+
🏗️ Software Architecture🌀 Code Complexity🔌 Interface Design
A Philosophy of Software Design Summary
A Philosophy of Software Design 89%
Your codebase rots from the inside out. The design skill that stops it.
by John Ousterhout 2018
4.22
5k+ ratings
🏗️ Software Architecture🌀 Code Complexity🔌 Interface Design
Data Science
by John D. Kelleher • 2018
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
3.90
876
🔎 Data Mining🧭 Data Science Methodology📈 Predictive Modeling
Data Science Summary
Data Science 89%
Turning raw data into decisions requires a defined process, not just algorithms and statistics.
by John D. Kelleher 2018
3.90
876 ratings
🔎 Data Mining🧭 Data Science Methodology📈 Predictive Modeling
Tidy First?
by Kent Beck • 2023
Software cost is coupling, and tidying is an investment: when to do it, when to ship.
3.92
1k+
🛠️ Software Design🔧 Refactoring Techniques✨ Code Quality
Tidy First? Summary
Tidy First? 89%
Software cost is coupling, and tidying is an investment: when to do it, when to ship.
by Kent Beck 2023
3.92
1k+ ratings
🛠️ Software Design🔧 Refactoring Techniques✨ Code Quality
Seven Concurrency Models in Seven Weeks
by Paul Butcher • 2014
Threads unravel programs. Seven concurrency models that don't, from actors and CSP to GPU parallel.
3.82
349
🧩 Concurrency Patterns⚡ Parallel Programming🎭 Actor Model
Seven Concurrency Models in Seven Weeks Summary
Seven Concurrency Models in Seven Weeks 89%
Threads unravel programs. Seven concurrency models that don't, from actors and CSP to GPU parallel.
by Paul Butcher 2014
3.82
349 ratings
🧩 Concurrency Patterns⚡ Parallel Programming🎭 Actor Model
High Performance Browser Networking
by Ilya Grigorik • 2013
The network is your slowest component. Master the protocols and browser APIs that make it fast.
4.51
856
🚀 Web Performance🌐 Network Protocols📱 Mobile Performance
High Performance Browser Networking Summary
High Performance Browser Networking 89%
The network is your slowest component. Master the protocols and browser APIs that make it fast.
by Ilya Grigorik 2013
4.51
856 ratings
🚀 Web Performance🌐 Network Protocols📱 Mobile Performance
How to Solve It
by George Pólya • 1944
Most problems are not solved by attacking them harder but by approaching them sideways.
4.12
5k+
🔍 Problem-Solving Heuristics🧮 Mathematical Thinking🧠 Heuristic Reasoning
How to Solve It Summary
How to Solve It 89%
Most problems are not solved by attacking them harder but by approaching them sideways.
by George Pólya 1944
4.12
5k+ ratings
🔍 Problem-Solving Heuristics🧮 Mathematical Thinking🧠 Heuristic Reasoning
Data Smart
by John W. Foreman • 2013
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
4.12
1k+
📊 Spreadsheet Modeling📈 Business Analytics🤖 Machine Learning For Managers
Data Smart Summary
Data Smart 88%
Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.
by John W. Foreman 2013
4.12
1k+ ratings
📊 Spreadsheet Modeling📈 Business Analytics🤖 Machine Learning For Managers
Complexity
by M. Mitchell Waldrop • 1992
In a desert convent, a few rogue scientists discovered the universal grammar of complex systems.
4.05
3k+
🧩 Complexity Science🌀 Self-Organization📜 History Of Science
Complexity Summary
Complexity 88%
In a desert convent, a few rogue scientists discovered the universal grammar of complex systems.
by M. Mitchell Waldrop 1992
4.05
3k+ ratings
🧩 Complexity Science🌀 Self-Organization📜 History Of Science
Refactoring to Patterns
by Joshua Kerievsky • 2004
How to transform tangled code into textbook patterns one small, safe step at a time.
4.05
1k+
🧱 Software Architecture✨ Code Quality🏗️ Object Oriented Design
Refactoring to Patterns Summary
Refactoring to Patterns 88%
How to transform tangled code into textbook patterns one small, safe step at a time.
by Joshua Kerievsky 2004
4.05
1k+ ratings
🧱 Software Architecture✨ Code Quality🏗️ Object Oriented Design
AI in the Financial Markets
by Federico Cecconi • 2023
AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.
📉 Financial Markets💻 Fintech🤖 Algorithmic Trading
AI in the Financial Markets Summary
AI in the Financial Markets 88%
AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.
by Federico Cecconi 2023
📉 Financial Markets💻 Fintech🤖 Algorithmic Trading
Program or Be Programmed
by Douglas Rushkoff • 2010
Digital tools have biases. If you can't read their code, someone else writes your behavior.
3.72
2k+
🌐 Media Ecology⚖️ Technological Bias🎮 Digital Agency
Program or Be Programmed Summary
Program or Be Programmed 88%
Digital tools have biases. If you can't read their code, someone else writes your behavior.
by Douglas Rushkoff 2010
3.72
2k+ ratings
🌐 Media Ecology⚖️ Technological Bias🎮 Digital Agency
Deep Learning
by John D. Kelleher • 2019
Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.
3.89
473
🔬 Deep Learning🧠 Neural Networks🤖 Machine Learning
Deep Learning Summary
Deep Learning 88%
Deep learning isn't clever math. It's simple neurons, wired at scale, learning from their mistakes.
by John D. Kelleher 2019
3.89
473 ratings
🔬 Deep Learning🧠 Neural Networks🤖 Machine Learning
Madly, Deeply
by Alan Rickman • 2022
Systems must evolve, not freeze: automated guardrails, small batches, and teams shaped for change.
3.58
17k+
🛠️ Software Architecture🚀 Continuous Delivery🧩 Microservices
Madly, Deeply Summary
Madly, Deeply 88%
Systems must evolve, not freeze: automated guardrails, small batches, and teams shaped for change.
by Alan Rickman 2022
3.58
17k+ ratings
🛠️ Software Architecture🚀 Continuous Delivery🧩 Microservices
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