Kimcoder Technical Books

website·Indexed 31 days ago

https://www.kimcoder.io/

A collection of technical guides and books covering software engineering topics, including Unit Testing (best practices, styles, and anti-patterns), Software Architecture 101 (layered, microservices, and space-based styles, ADRs, and leadership), Staff Engineer career development (strategy, networking, and negotiation), and JavaScript fundamentals (classes, functions, Map, Set, and Proxy).

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What's inside Kimcoder

  1. Overview of ts-pattern for TypeScript pattern matching

    ts-pattern is a library that brings pattern matching to TypeScript environments, allowing developers to handle complex conditional logic more concisely and safely than with standard switch or if/else statements. Key benefits include type safety through inference, exhaustive checking to prevent missing cases, and support for matching complex data structures (nested objects, arrays, tuples, sets, maps).
  2. Overview of the JavaScript Reflect API

    The Reflect object provides a set of utility functions for performing basic object operations (such as getting/setting property values, manipulating prototypes, and deleting properties). It serves as a thin wrapper around internal JavaScript engine operations. Key advantages include:

    • Providing a consistent functional API for operations that are otherwise a mix of syntax (e.g., in, delete) and Object methods.
    • Returning boolean success/failure flags instead of throwing errors in cases where equivalent Object methods would throw.
    • Providing a perfect match for Proxy traps, making it easier to implement default behavior within a proxy.
    • Allowing control over new.target via Reflect.construct.
  3. Overview of Event-Driven Architecture (EDA)

    Event-Driven Architecture is an asynchronous distributed architecture style used for high-performance, scalable applications. It consists of components that asynchronously receive and process events. EDA can be used as a standalone architecture or embedded within other styles, such as Event-Driven Microservices. It contrasts with the request-based model, where a request orchestrator (like a UI or API layer) synchronously delivers requests to processors.
  4. Overview of Space-Based Architecture

    Space-Based Architecture is designed to solve scalability, elasticity, and concurrency issues in applications with highly variable user loads. It eliminates the central database as a synchronous constraint by utilizing a replicated in-memory data grid. This allows the system to handle massive spikes in traffic by keeping application data in memory and replicating it across all active processing units.
  5. Overview of Service-Based Architecture

    Service-Based Architecture is a type of distributed architecture and a variant of the microservices style. It is designed to be more practical and less complex than full microservices or event-driven architectures, making it suitable for many business applications. Its core characteristic is the use of a central shared monolithic database, typically supporting a small number of coarse-grained domain services (averaging around 7, usually between 4 to 12).
  6. Overview of TanStack Start

    TanStack Start is a full-stack React framework that extends TanStack Router by adding a server-side layer. It is primarily composed of TanStack Router (95%) and a small server-side layer (5%) powered by Vite (for development, build, and dev server) and Nitro (a serverless-first web application framework). It is recommended for projects that require full-document SSR, streaming SSR, server functions/RPC, and support for multiple runtimes (Node, Bun, Deno, Edge).
  7. Overview of Programming Paradigms in Software Architecture

    Software architecture leverages three primary programming paradigms to manage different aspects of a system:

    1. Structural Programming: Used as the basis for module algorithms. It focuses on restricting direct control flow transitions (e.g., eliminating goto statements) in favor of sequence, selection (if/then/else), and iteration (do/while).
    2. Object-Oriented Programming (OOP): Used to manage indirect control flow transitions. Its primary architectural value is the use of polymorphism to control source code dependencies, enabling plugin architectures where high-level policies remain independent of low-level details.
    3. Functional Programming: Used to impose rules on data location and access. It emphasizes immutability to eliminate concurrency issues such as race conditions and deadlocks.
  8. Implement Technical Partitioning for architecture

    Technical partitioning divides top-level components based on technical capabilities (e.g., Presentation, Business Rules, Service, Persistence). This is the basis for Layered Architecture and the MVC pattern.

    Advantages:

    • Custom code is clearly separated by technical concern.
    • Aligns with standard Layered Architecture patterns.
    • High discoverability: developers know exactly where to find all persistence or presentation code.

    Disadvantages:

    • Higher Global Coupling: Changes in a common or local layer can impact all other components.
    • Conceptual Duplication: Domain concepts may need to be replicated across multiple technical layers.
    • Data Coupling: Often relies on a single shared database, making future migration to distributed systems difficult due to complex data relationships.
    • Fragmented Workflows: A single business workflow (e.g., CatalogCheckout) is scattered across all technical layers.
  9. Analyze architectural characteristics of the Layered Architecture style

    The Layered Architecture style is characterized by high simplicity and low overall cost, but it generally offers low scalability, testability, and evolvability. It is primarily divided by technical concerns and typically consists of a single quantum.
    CharacteristicRating
    Decomposition TypeTechnical
    Number of Quanta1
    Deployability⭐
    Elasticity⭐
    Evolvability⭐
    Fault Tolerance⭐
    Modularity⭐
    Total Cost⭐⭐⭐⭐⭐
    Performance⭐⭐
    Reliability⭐⭐⭐
    Scalability⭐
    Simplicity⭐⭐⭐⭐⭐
    Testability⭐
  10. Understand JavaScript's pass-by-value behavior for function parameters

    In JavaScript, when a function is called with arguments, the arguments are passed by value, not by reference. This means that if you pass a variable to a function, the function creates a new local variable (the parameter) and assigns it the value of the argument at the time of the call. Subsequent reassignments to the original variable outside the function do not affect the value stored in the function's local parameter or its closure.
    function getLogger(arg) {
      function logger() {
        console.log(arg);
      }
      return logger;
    }
    
    let fruit = 'raspberry';
    const logFruit = getLogger(fruit);
    
    logFruit(); // "raspberry"
    fruit = 'peach';
    logFruit(); // "raspberry" (Still prints the original value because 'arg' was a copy of 'fruit' at call time)
  11. Understand the core goals and principles of software architecture

    Software architecture focuses on the structure of a system—including components, classes, functions, modules, layers, and services—to ensure that the needs of users, developers, and owners are met both now and in the future. The primary goal of software architecture is to minimize the human resources required to build and maintain the necessary system. While physical scale is less relevant than in physics, architects must still account for physical constraints such as processor speed, network bandwidth, memory, and storage.
  12. Design and Granularity of Domain Services

    Domain services in this architecture are coarse-grained and typically follow a layered architecture consisting of an API Facade layer, a Business layer, and a Persistence layer.

    Key design characteristics include:

    • API Access Facade: Acts as an orchestrator for business requests. For example, an OrderService facade might coordinate order processing, ID generation, payment, and inventory updates internally via class-level orchestration rather than calling multiple remote services.
    • Transaction Model: Uses ACID (Atomicity, Consistency, Isolation, Durability) database transactions to ensure data integrity, unlike the BASE (Basic Availability, Soft state, Eventual consistency) model used in highly distributed microservices.
    • Trade-offs: While providing better data integrity, coarse-grained services have a larger blast radius; changing one function (e.g., payment) requires testing the entire service, and deployments carry a higher risk of regression compared to single-responsibility microservices.