The Coder Cafe Season 1 (The Coder Cafe Season 1)
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The Coder Cafe Season 1

Timeless Concepts for Software Engineers

About the Book

Missing direction in your tech career? The Coder Cafe Season 1 gives you a clear path. Drawn from the first year of The Coder Cafe newsletter, it's a single, carefully sequenced journey. Each section covers a foundational, timeless concept, the building blocks of a strong engineering career. Across six chapters—Programming, Testing, Distributed Systems, Reliability, Systems Thinking, and Beyond Code—you'll get practical guidance to master the fundamentals and grow as an engineer.

This isn't a greatest-hits dump. It's a season. Read sequentially, or jump to the concept you need. Whether you're a software engineer, a DevOps professional, or an SRE, you'll gain skills you can use now.

Get cozy, grab a coffee, and welcome to The Coder Cafe Season 1.

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  • Categories

    • Computers and Programming
    • Databases
    • Computer Hardware
    • Algorithm
    • Data Structures
    • Software Architecture
    • Distributed Systems
    • Resiliency
    • Software Engineering
    • Testing
    • DevOps
    • Functional Programming
    • Software
  • Feedback

    Email the Author(s)

About the Author

Teiva Harsanyi
Teiva Harsanyi

Software engineer at Google, author of 100 Go Mistakes, and writer of The Coder Cafe newsletter.

Table of Contents

  • Chapter 1: Programming
    • Algorithms and Data Structures
      • Arrays vs. Linked Lists
      • Binary Heaps
      • Graphs
      • Topological Sort
      • Ford-Fulkerson Algorithm
    • Concurrency
      • Concurrency vs. Parallelism
      • Coroutines
      • Mutex vs. Semaphore
      • Data Race vs. Race Condition
    • Functional Programming
      • Partially Applied Functions vs. Currying
      • Functors, Applicatives, and Monads
    • Code Health
      • Premature Abstractions
      • You Aren’t Gonna Need It (YAGNI)
      • Focus on Product Ideas, Not Requirements
      • Cognitive Load
      • Readability
      • Simplifying Complex if Statements
      • Cohesion
      • Coupling
      • Nested Code
      • Tidy First?
      • What Makes Code Beautiful
      • Organic Growth vs. Controlled Growth
  • Chapter 2: Testing
    • Fundamentals
      • Avoiding Logic in Tests
      • Code Coverage
      • Line vs. Branch Coverage
      • Property-Based Testing
    • Unit Tests
      • Common Arguments Against Unit Tests
      • 10 Unit Tests Properties
      • Unit Tests As Documentation
      • Test Behavior, Not Implementation
      • Test-Driven Development (TDD)
  • Chapter 3: Distributed Systems
    • Databases
      • ACID
      • The CAP Theorem
      • The PACELC Theorem
      • Safety and Liveness
      • Transactions
      • Consensus
      • Consistency Model
      • Isolation Level
      • Exploring Database Isolation Levels
      • Availability Models
    • System Design
      • Probabilistic Increment
      • Latency and User Experience
      • Bloom Filters
      • Working on Complex Systems
  • Chapter 4: Reliability
    • Fundamentals
      • Reliability
      • Graceful Degradation
      • Adaptive LIFO
      • Resilient, Fault-tolerant, Robust, or Reliable?
      • Fail Open vs. Fail Closed
      • Soft vs. Hard Dependency
    • Analysis
      • Post Hoc Ergo Propter Hoc
      • Lurking Variables
  • Chapter 5: Systems
    • Computer Architecture
      • Instruction Pipelining
      • Simultaneous Multithreading
    • Linux
      • Linux Soft vs. Hard Lockup
  • Chapter 6: Beyond Code
    • Communication
      • The XY Problem
      • 10 Rules I Learned About Technical Writing
    • Cognitive Biases
      • Understanding Cognitive Biases
      • Confirmation Bias
      • Streetlight Effect
      • Survivor Bias
    • Critical Thinking
      • Lateral Thinking
      • Keeping a Mistake Journal
    • Knowledge Management
      • Second Brain
    • Mindset
      • Don’t Be Ashamed to Say “I Don’t Know”
      • Don’t Forget About Your Mental Health

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