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codebase
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Definition
Summarize this topic in 1 paragraph. Put a section heading for each paragraph. You MUST put double square brackets around each computer buzzword, product name, or jargon or technical words. Answer in MediaWiki syntax.
A codebase refers to the entire collection of source code files that make up a software application or system. It encompasses all the programming instructions, software configuration, and software assets required to software build and run the software. The codebase serves as the foundation for software development, providing developers with the necessary software development resources to write software, modify software, and maintain software. It typically includes files written in various programming languages, documentation, build scripts, and configuration files. A well-organized and well documented codebase is essential for collaboration among developers, enabling them to understand and contribute to the software project effectively. Version control systems such as Git are commonly used to manage and track changes to the codebase, facilitating software development collaboration and ensuring the integrity and stability of the software throughout its software development lifecycle.
Detailed Summary
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Best Practices for Codebases
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- Snippet from Wikipedia: Codebase
In software development, a codebase (or code base) is a collection of source code used to build a particular software system, application, or software component. Typically, a codebase includes only human-written source code system files; thus, a codebase usually does not include source code files generated by tools (generated files) or binary library files (object files), as they can be built from the human-written source code. However, it generally does include configuration and property files, as they are the data necessary for the build.
A codebase is typically stored in a source control repository in a version control system. A source code repository is a place where large amounts of source code are kept, either publicly or privately. Source code repositories are used most basically for backups and versioning, and on multi-developer projects to handle various source code versions and to provide aid in resolving conflicts that arise from developers submitting overlapping modifications.
Subversion, Git and Mercurial are examples of popular tools used to handle this workflow, which are common in open source projects.
For smaller projects, its code may be kept as a non-managed set of files (even the Linux kernel was maintained as a set of files for many years).
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Software Architecture: Software Architects
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SHORTEN THIS fork from navbar_golang_detailed:
Programming languages, abstraction, agile, ahead-of-time (AOT), AI, algebraic data types, algorithms, Android, anonymous functions, anonymous methods, AOP, AOT, APIs, arguments, ARM, arithmetic, arrays, aspect-oriented, assignment, associative arrays, async, asynchronous callbacks, asynchronous programming, automatic variables, automation, Avro, backend, backwards compatibility, block scoped, Booleans, Boolean expressions, buffer overflow, builds, built-in types, bytecode, cache, caching, call by reference, call by value, callbacks, call stack, casting, characters, Chocolatey, CI/CD, classes, CLI, client-side, closures, cloud (Cloud Native-AWS-Azure-GCP-IBM Cloud-IBM Mainframe-OCI), code smells, coercion, collections, command-line interface, commands, comments, compilers, complex numbers, composition, concurrency, concurrent programming, conditional expressions, conferences, constants, constructors, containers, control flow, control structures, coroutines, crashes, creators, currying, databases, data manipulation, data persistence, data science, data serialization, data structures, data synchronization, dates, dates and times, deadlocks, debugging, declarative, deferred callbacks, delegates, delegation, dependency injection, design patterns, designers, destructors, DevOps, dictionaries, dictionary comprehensions, DI, distributed software, distributions, distros, DL, Docker, do-while, DSL, duck typing, dynamic binding, dynamic scope, dynamically scoped, dynamically typed, dynamic variables, eager evaluation, embedded, encapsulation, encryption, enumerated types, enumeration, enums, environment variables, errors, error handling, evaluation strategy, event-driven, event handlers, event loops, exception handling, executables, execution, expressions, FaaS, Facebook, fibers, fields, file input/output, file synchronization, file I/O, filter, first-class functions, fold, foreach loops, fork-join, floating-point, FP, frameworks, FreeBSD, frontend, functions, functional, functional programming, function overloading, garbage collection, generators, generator expressions, generics, generic programming, GitHub, global variables, GraphQL, gRPC, GUI, hashing, heap, heap allocation, hello world, higher-order functions, history, Homebrew, HTTP, idempotence, IDEs, import, imperative, immutable values, immutability, inheritance, influenced, influenced by, installation, integers, integration testing, interfaces, internationalization, interpreters, interprocess communication (IPC), iOS, IoT, IPCs, ISO Standard, iteration, JetBrains, JIT, JSON, JSON-RPC, JSON Web Tokens, JSON Web Token (JWT), Just-in-time (JIT), JWT, K8S, keywords, lambdas, lambda expressions, lambda functions, language spec, lazy evaluation, lexically scoped, lexical scoping, libraries, linters, Linux, lists, list comprehensions, literals, localization, local variables, locks, logging, logo, looping, loosely typed, loose typing, macOS, map, mascot, math, member variables, memoization, memory addressing, memory allocation, malloc, memory management, memory safety, message queues, metaclasses, meta-programming, methods, method overloading, MFA, ML, microservices, Microsoft, mobile dev, modules, modulo operators, monitoring, multiprocessing, multi-threaded, mutable values, mutability, mutex (mutual exclusion), namespaces, natural language processing (NLP), networking, network programming, NLP, non-blocking, non-blocking I/O, null, null reference, null coalescing operators, numbers, number precision, OAuth, objects, object code, object comparisons, object creation, object creators, object destruction, object destructors, object lifetime, object-oriented constructors, object-oriented programming, object serialization, observability, OOP, operators, operator overloading, optimizations, organizations, ORMs, packages, package managers, pass by reference, pass by value, parallel computing, parallel programming, parallelism, parameters, people, performance, persistence, pipelines, pointers, polymorphism, primitives, primitive data types, probability, procedural, processes, producer-consumer, programmers, programming, programming paradigm, program structure, program termination, Protocol Buffers (Protobuf), Protocol Buffers, Protobuf, proxies, public-key encryption, PKI, pure functions, race conditions, random, reactive, readability, records, recursion, reentrancy, refactoring, reference counting, reference types, referential transparency, reflection, regex, remote procedure calls (RPC), REPL, reserved words, REST, REST APIs, RHEL, RPCs, runtimes, safe navigation operators, SDK, secrets, security, serialization, serverless, server-side, sets, set comprehensions, side effects, signed integers, SMTP, Snapcraft, social media, sockets, source code, source-to-source compiler, SQL, SSL - SSL-TLS, Single sign-on (SSO), SSO, StackOverflow, stack, stack allocation, Stack overflow, standards, standard errors, standard input, standard library, standard operators, standard output, state, statements, strings, string concatenation, string functions, string operations, scheduling, scientific notation, scope, scope rules, scoping, scripting, static analyzers, statically scoped, static scoping, statically typed, static variables, statistics, strongly typed, structural typing, synchronization, syntax, systems programming, TCP/IP, TDD, testing, test frameworks, threads, thread-local storage (TLS), TLS, thread locking, thread locks, thread safety, thread scheduling, thread synchronization, times, timers, to JavaScript, tools, toolchain, transpiler, transpiling to JavaScript, truth values, tuples, type checking, type conversion, type inference, type safety, type system, web dev, while loops, work stealing, values, value types, variables, variable lifetime, variable scope, versions, virtual environments, virtual machine, Ubuntu, Unicode, unit testing, unsigned integers, usability, weak typing, weakly typed, Windows, wrappers, written using, x86-64-AMD64, XML, YAML;
. (navbar_software_architecture - see also navbar_microservices, navbar_design_patterns, navbar_programming_detailed - Based on MASTER navbar_golang_detailed. navbar_programming is the shorter one.
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