Sourcegraph Cody Integrations

Git is an open-source distributed version control system that can handle small to very large projects quickly and efficiently. Git is simple to learn, has a small footprint, and delivers lightning fast performance. It is superior to SCM tools such as Subversion, CVS and Perforce. Git also has features such as cheap local branching and convenient staging areas.

OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.

React makes it easy to create interactive user interfaces. React makes it easy to create simple views for each state of your application. React will automatically update the correct components whenever your data changes. Declarative views make it easier to understand and debug your code. Create encapsulated components that can manage their own state and then combine them to create complex UIs. JavaScript is used instead of templates to write component logic. This allows you to easily pass rich data through your app while keeping state out of the DOM. React doesn't make assumptions about your technology stack. This allows you to develop new features in React without having to rewrite existing code. React components implement a render() function that takes input data and returns what it should display. This example uses JSX syntax, which is a XML-like syntax. This.props allows you to access the input data passed into the component by calling render().

Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.

GPT-3 models are capable of understanding and generating natural language. There are four main models available, each with a different level of power and suitable for different tasks. Ada is the fastest and most capable model while Davinci is our most powerful. GPT-3 models are designed to be used in conjunction with the text completion endpoint. There are models that can be used with other endpoints. Davinci is the most versatile model family. It can perform all tasks that other models can do, often with less instruction. Davinci is the best choice for applications that require a deep understanding of the content. This includes summarizations for specific audiences and creative content generation. These higher capabilities mean that Davinci is more expensive per API call and takes longer to process than other models.

Claude is an artificial intelligence language model that can generate text with human-like processing. Anthropic is an AI safety company and research firm that focuses on building reliable, interpretable and steerable AI systems. While large, general systems can provide significant benefits, they can also be unpredictable, unreliable and opaque. Our goal is to make progress in these areas. We are currently focusing on research to achieve these goals. However, we see many opportunities for our work in the future to create value both commercially and for the public good.

PowerShell is a cross platform task automation and configuration management framework. It consists of a command-line shell as well as a scripting language. PowerShell, unlike other shells that accept and return text, is built on top the.NET Common Language Runtime. (CLR) and accepts and returns.NET object. This fundamental change introduces new tools and methods of automation. PowerShell cmdlets can deal with objects, rather than traditional command-line interfaces. An object is structured information, which is more than the string of characters displayed on the screen. Command output always contains additional information that you can access if you require it. You'll notice a difference in how text-processing tools behave in PowerShell if you've previously used them to process data. To extract specific information, you don’t usually need text-processing software. You can directly access parts of the data by using standard PowerShell object syntax.

MySQL is the most widely used open-source database in the world. MySQL is the most popular open source database for web-based applications. It has been proven to be reliable, performant, and easy-to-use. This database is used by many high-profile web properties, including Facebook, Twitter and YouTube. It is also a popular choice for embedded databases, distributed by thousands ISVs and OEMs.

Code editing. Redefined Free. Open source. It runs everywhere. IntelliSense provides smart completions that go beyond syntax highlighting and autocomplete. It uses variable types, function definitions and imported modules to provide intelligent completions. You can debug code directly from the editor. You can attach or launch your apps, and debug with breakpoints, call stacks and an interactive console. It's never been easier to work with Git or other SCM providers. The editor allows you to review diffs and stage files, as well as make commits. Pull and push from any hosted SCM service. Want even more features? To add languages, themes, debuggers and connect to other services, install extensions. Extensions are separate processes that don't slow down your editor. Learn more about extensions. Microsoft Azure allows you to deploy and host your React (Angular), Vue, Node (and many more!) applications. Sites can store and query relational or document-based data and scale with serverless computing.

ChatGPT is an OpenAI language model. It can generate human-like responses to a variety prompts, and has been trained on a wide range of internet texts. ChatGPT can be used to perform natural language processing tasks such as conversation, question answering, and text generation. ChatGPT is a pretrained language model that uses deep-learning algorithms to generate text. It was trained using large amounts of text data. This allows it to respond to a wide variety of prompts with human-like ease. It has a transformer architecture that has been proven to be efficient in many NLP tasks. ChatGPT can generate text in addition to answering questions, text classification and language translation. This allows developers to create powerful NLP applications that can do specific tasks more accurately. ChatGPT can also process code and generate it.

GitHub is the most trusted, secure, and scalable developer platform in the world. Join millions of developers and businesses who are creating the software that powers the world. Get the best tools, support and services to help you build with the most innovative communities in the world. There's a free option for managing multiple contributors: GitHub Team Open Source. We also have GitHub Sponsors that help you fund your work. The Pack is back. We have partnered to provide teachers and students free access to the most powerful developer tools for the school year. Work for a government-recognized nonprofit, association, or 501(c)(3)? Receive a discount Organization account through us.

GitLab is a complete DevOps platform. GitLab gives you a complete CI/CD toolchain right out of the box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered in one application. It fundamentally changes the way Security, Development, and Ops teams collaborate. GitLab reduces development time and costs, reduces application vulnerabilities, and speeds up software delivery. It also increases developer productivity. Source code management allows for collaboration, sharing, and coordination across the entire software development team. To accelerate software delivery, track and merge branches, audit changes, and enable concurrent work. Code can be reviewed, discussed, shared knowledge, and identified defects among distributed teams through asynchronous review. Automate, track, and report code reviews.

IntelliJ IDEA analyzes the code and finds connections between symbols in all files and languages. This information provides in-depth coding guidance, quick navigation, clever errors analysis, and, ofcourse, refactorings. Space gives you a list of the most relevant symbols applicable in the current context. This and other completions are continuously learning from you and move the members of the most commonly used classes and packages to top of the suggestions list so you can choose them faster. This is a deeper version of Smart Completion. It lists all applicable symbols that are accessible through methods or getters within the current context. Let's say you are looking for Project but only have the Module module declaration. Space twice to get module.getProject() without any additional effort. Complete static members Allows you to use constants or static methods easily. It displays a list of symbols that match your input and automatically adds the required import statements.

Bitbucket goes beyond Git code management. Bitbucket is a place for teams to plan projects, collaborate on code and test, and then deploy. For small teams of less than 5, Bitbucket is free. Premium plans ($6/user/mo), and Standard ($3/user/mo), are available at scale. You can organize your projects by creating Bitbucket branches from Jira issues and Trello cards. Integrated CI/CD allows you to build, test, and deploy. Configuration as code allows for fast feedback loops and benefits. Pull requests make it easier to approve code reviews. With inline comments, create a merge list with the designated approvers. Bitbucket Pipelines with CI/CD lets you build, test, and deploy with integrated CI/CD. You can benefit from configuration as code and quick feedback loops. With IP whitelisting, 2-step verification and IP whitelisting, you can be sure that your code is safe in the Cloud. You can restrict access to certain users and control their actions by granting branch permissions and merging checks to quality code.

GPT-4 (Generative Pretrained Transformer 4) a large-scale, unsupervised language model that is yet to be released. GPT-4, which is the successor of GPT-3, is part of the GPT -n series of natural-language processing models. It was trained using a dataset of 45TB text to produce text generation and understanding abilities that are human-like. GPT-4 is not dependent on additional training data, unlike other NLP models. It can generate text and answer questions using its own context. GPT-4 has been demonstrated to be capable of performing a wide range of tasks without any task-specific training data, such as translation, summarization and sentiment analysis.

GPT-3.5 is the next evolution to GPT 3 large language model, OpenAI. GPT-3.5 models are able to understand and generate natural languages. There are four main models available with different power levels that can be used for different tasks. The main GPT-3.5 models can be used with the text completion endpoint. There are models that can be used with other endpoints. Davinci is the most versatile model family. It can perform all tasks that other models can do, often with less instruction. Davinci is the best choice for applications that require a deep understanding of the content. This includes summarizations for specific audiences and creative content generation. These higher capabilities mean that Davinci is more expensive per API call and takes longer to process than other models.

Point Sourcegraph shows you the repositories that you use, stored in any code host or search across the open-source universe. With smart filters and Code Intelligence, you can quickly find answers with regular, structural, or literal expression searches. Extensions allow you to connect all your tools, including test coverage, 1-click file in editor, custom highlight, and information from other services. To help engineers learn unfamiliar code faster, create living documentation using Markdown and live query code. Use collaborative, shareable notebooks to navigate through your codebase and resolve issues. You can embed HTML in notebooks wherever you can, just like your internal documentation. This will allow you to spend less time updating outdated docs. To learn more about the code and repository structure, search across all code hosts.

Cascading style sheets, also known as CSS, is a style language that web developers use to organize the HTML and other elements on a website. CSS is one of most popular languages on the internet.

It is easy to learn, so you can quickly create powerful applications. Compatible with the Java ecosystem. You can use your favorite JVM libraries and frameworks. You can share application logic between desktop, mobile, and web platforms while still providing a native experience for users. You can save time and have unlimited access to the features that are specific to these platforms. Kotlin is supported by many people and has a large global community. Enjoy the rich ecosystem of community libraries and the many benefits it offers. You can always count on the Kotlin team for assistance. Kotlin Multiplatform Mobile SDK is available for Android and iOS app development. It combines the best of native and cross-platform apps. You can maintain a single codebase that handles all aspects of your Android and iOS apps, including data storage, networking, analytics, and other logic.

You may be wondering why Ruby is so popular. It is a beautiful and artistic language, according to its fans. They also say it's practical and useful. Ruby has attracted devoted coders around the world since its 1995 release. Ruby was widely accepted in 2006. Active user groups were formed in major cities around the globe and Ruby-related conferences were full to capacity. Ruby-Talk, the main mailing list for discussion about the Ruby language, saw an average of 200 messages per daily in 2006. As the community has grown, the number of messages per day on Ruby-Talk has fallen. Ruby ranks among the top 10 in most indices that measure popularity and growth of programming languages around the world (such as TIOBE index). The popularity of Ruby on Rails, especially the Ruby on Rails web framework, is responsible for a large part of this growth.

It is now easier than ever to create services with Go thanks to the strong ecosystem of APIs and tools available on major cloud providers. Go allows you to create elegant and fast CLIs using popular open-source packages and a robust standard repository. Go powers fast, scalable web applications thanks to its enhanced memory performance and support of several IDEs. Go supports both DevOps as well as SRE with its fast build times and lean syntax. All you need to know about Go. Get started on a project or refresh your knowledge about Go code. Three sections provide an interactive introduction to Go. Each section ends with a few exercises that allow you to put what you have learned into practice. Anyone can use a web browser to create Go code that we instantly compile, link, then run on our servers.

Use GPT-4 for the 'work-about-work' so that your team can focus on building. Dart's GPT-4-powered tech can help you avoid the usual overhead of project management. Using intuitive keyboard controls, you can complete your tasks quickly. Dart's Command Center allows you to access and complete any action in seconds. Plan tasks, subtasks and projects, then automatically roll over sprints with complete flexibility. Dart can automate mundane tasks by learning your team's patterns and workflows. Use ChatGPT's latest AI and ChatGPT to help you move forward when you are stuck or blocked. Learn as you go by using helpful tooltips. Fly through your tasks and learn with extensive keyboard commands. Personalize your workspace with custom fields, colors, statuses, tags, and much more.

Terraform is an open source infrastructure as code software tool. It provides a consistent CLI workflow for managing hundreds of cloud services. Terraform codifies cloud APIs into declarative configuration files. Write infrastructure as code using declarative configuration files. The HashiCorp Configuration Language allows for concise descriptions using blocks, arguments and expressions of resources. Run terraform plan before you provision or change infrastructure. To achieve the desired configuration state, apply changes to hundreds cloud providers using terraform. To manage the entire lifecycle of infrastructure, define it as code. Create new resources, manage existing ones, destroy those that are no longer needed.

WebStorm provides integrated development environments for JavaScript and other related technologies. It works in the same way as other JetBrains IDEs. It automates repetitive work and helps you to handle more complex tasks. The IDE runs dozens of code inspections while you type, detecting potential issues and helping you write more reliable and maintainable codes. You can refactor your entire codebase with just a few clicks. This also makes it easy to implement large structural changes. You can get right to coding with all the necessary tools for JavaScript development. WebStorm makes it easy to be more productive and more creative while WebStorm does all the mundane work. Are you afraid of breaking something in Git or losing important changes? Or breaking something by renaming a component in your entire project. WebStorm will make these and other difficult tasks easier so you can concentrate on the bigger picture.

The Java™, Programming Language is a general purpose, concurrent, strongly typed and class-based object-oriented programming language. It is usually compiled according to the Java Virtual Machine Specification's bytecode instruction set. All source code in the Java programming language is first written in plain text files that end with the.java extension. The javac compiler compiles these source files into.class files. A.class file doesn't contain native code for your processor. Instead, it contains bytecodes (the machine language of the Java Virtual Machine1 [Java VM]). The java launcher tool will then run your application with an instance Java Virtual Machine.

PHP is fast, flexible, and pragmatic. It powers everything, from your blog to the most visited websites in the world. PHP 8.0.20 is now available from the PHP development team. You don't even need to use a search box when accessing the PHP.net website. To access pages, you can use PHP.net URLs.

C# (also pronounced "See Sharp"), is a modern, object oriented and type-safe programming language. C# allows developers to create many types of secure, robust applications that run in.NET. C# is rooted in the C family languages and will be familiar to JavaScript, C++, Java and JavaScript programmers. This tour will give you an overview of the main components of C# 8 or earlier. C# is an object-oriented and component-oriented programming language. C# supports these concepts directly with language constructs. This makes C# an easy language to create and use software components. C# has been evolving over time to support new software design practices and workloads. C# is an object-oriented programming language. You can define types and their behavior.

Clojure is a robust and practical programming language that is fast and easy to use. It also has a number of useful features that make it a powerful, simple, and coherent tool. Clojure is a dynamic programming language that can be used for general purposes. It combines the simplicity and interactivity of a scripting language and an efficient and robust infrastructure to support multithreaded programming. Clojure can be compiled, but it is completely dynamic. All features supported by Clojure are supported at runtime. Clojure has easy access to Java frameworks. It also supports type hints, type inference, and optional type hints. This allows Java calls to avoid reflection. Clojure is a dialect Lisp and shares the code-as data philosophy and powerful macro system. Clojure is a functional programming language that features a rich array of persistent, immutable data structures. Clojure provides a software transactional memory and reactive agent system for mutable states.

Swift code is interactive and fun to write. The syntax is concise and expressive, and Swift has modern features developers love. Swift code is safe and produces software that runs lightning fast. Swift is the result years of experience building Apple platforms and the most recent research on programming languages. Swift's APIs are easy to understand and maintain because the names of parameters are written in a simple syntax. You don't even have to use semi-colons. Modules eliminate headers and provide namespaces, while inferred types make code more readable and less likely to be misinterpreted. Strings support international languages and emoji best. They are Unicode-correct and use UTF-8-based encoding to maximize performance for a wide range of use cases. Concurrent code can be written with simple keywords that define asynchronous behavior. This makes your code easier to read and less likely to make errors.

TypeScript adds syntax to JavaScript to allow for tighter integration with your editor. Make sure to catch errors in your editor as soon as possible. TypeScript code can be converted to JavaScript and runs wherever JavaScript runs: in a browser, on Node.js, Deno, or in your apps. TypeScript can understand JavaScript and uses type-inference to provide great tooling for JavaScript without any additional code. 78% of 2020 State of JS respondents used TypeScript, and 93% said they would use it again. Type errors are the most common errors programmers make. A certain type of value was used when a different value was expected. This could be simple typos, failure to understand an API surface, incorrect assumptions about runtime behavior or other errors.

Perl is a powerful, feature-rich programming language that has been in development for over 30 years. Perl is a powerful, feature-rich programming language that has been in development for over 30 years. Perl can be used on more than 100 platforms, from mainframes to portables. It is well-suited for rapid prototyping as well as large-scale development projects. "Perl" is a language family. "Raku", formerly "Perl 6", is a part of this family. However, it is a separate language with its own development team. Its existence does not have any impact on the development of Perl. Perl has powerful tools to process text, making it ideal for working in HTML, XML and other mark-up languages. Perl can handle encrypted Web data including e-commerce transactions.

Each expression in Haskell is assigned a type at compile time. All types that are combined by function application must match. The compiler will reject the program if they don't match up. Types are not only a guarantee, but also a language to express the construction of programs. Haskell functions are mathematical functions (i.e. "pure") in every instance. Even side-effecting IO operation are just a description of what to accomplish, and are produced by pure code. There are no instructions or statements, only expressions that can't mutate variables (local and global) or access state such as time or random numbers. You don't need to write every type in Haskell programs. Types can be inferred by unifying each type bidirectionally. You can however write out types or ask the compiler for them to be written for you.

R is a language and environment that allows for statistical computing and graphics. It is a GNU project that is very similar to the S language environment and environment, which were developed at Bell Laboratories (formerly AT&T now Lucent Technologies) in John Chambers and his colleagues. R can be seen as a different implementation to S. However, most code written for S runs without modification under R. R offers a wide range of statistical (linear, nonlinear modelling and classical statistical tests, time series analysis, classification, clustering and graphic techniques and is extensible. Research in statistical methodology is often done using the S language. R offers an Open Source way to participate in this activity. R's strength is its ability to produce well-designed publications-quality plots, including formulae and mathematical symbols.

Rust is lightning fast and memory efficient. It doesn't require a runtime or garbage collector and can run on embedded devices and integrate with other languages. Rust's rich type system, ownership model, and memory-safety guarantee thread-safety. This allows you to eliminate many types of bugs at compile time. Rust is a great tool with excellent documentation and a friendly compiler that displays useful error messages. Rust's strong ecosystem makes it easy to create a CLI tool. Rust makes it easy to maintain your app and distribute it with confidence. Rust can be used to turbocharge JavaScript one module at a while. You're ready to go!

Lua is an efficient, lightweight, embeddable, scripting language that is powerful and easy to use. It supports procedural, object-oriented, functional, data-driven programming and data description. Lua combines simple procedural syntax and powerful data description constructs that are based on extensible semantics and associative arrays. Lua is dynamically-typed and interprets bytecode using a register-based virtual computer. It also has automatic memory management and incremental garbage collection making it ideal for configuration and scripting as well as rapid prototyping and prototyping. Lua is well-respected for its performance. Lua is aspired to be "as fast" as other scripting languages. Multiple benchmarks have shown Lua to be the fastest language in the world of interpreted scripting. Lua is fast in benchmark programs but also in real-life. Lua has been used to write large portions of large applications.

Erlang is a programming language that allows you to create highly scalable soft real time systems. It also requires high availability. It is used in e-commerce and instant messaging, banking, telephony, and telecoms. Erlang's runtime system supports concurrency distribution and fault tolerance. OTP is a set of Erlang libraries, design principles, and middleware that allows you to develop these systems. It also includes a distributed database, applications that can interface with other languages, and debugging, as well as release handling tools.

YAML: YAML Isn't Markup Language™. YAML is a human-friendly data Serialization Language for all Programming Languages.

Node.js is an asynchronous JavaScript runtime that drives JavaScript calls. It's designed to create scalable network applications. Node.js will go to sleep if there isn't any work being done. This is in contrast with the more common concurrency model today, where OS threads are used. Thread-based networking is slow and difficult to use. Node.js users are not at risk of deadlocking the process because there are no locks. Nearly every function in Node.js performs I/O. The process never blocks unless the I/O is performed using synchronous Node.js methods standard library. Scalable systems are easy to create in Node.js because nothing blocks. Node.js is inspired by and similar to Ruby's Event Machine, and Python's Twisted. Node.js extends the event model a little further. It presents an event loop instead of a library as a runtime construct.

JavaScript is a web scripting language and programming language that allows developers to create dynamic elements on the internet. Client-side JavaScript is used by over 97% of all websites. JavaScript is the most popular scripting language on the internet.

Pascal is both a procedural programming language and an imperative programming language. Pascal is a simple programming language that can be used to create structured applications.

C++ is a simple language with clear expressions. ...), but once one knows the meaning of such characters it can be even more schematic and clear than other languages that rely more on English words. C++'s simplified input/output interface and incorporation of the standard library of templates make data manipulation and communication much easier than in C. It is a programming model in which each component is treated as an object. This replaces or complements the structured programming paradigm that focuses on procedures and parameters.

JSON (JavaScript Object Notation), is a lightweight format for data-interchange. It is easy to read and write. It is easy for machines and humans to generate and parse. It is based upon a subset the JavaScript Programming Language Standard ECMA-262 (3rd Edition - Dec 1999). JSON is a text format which is completely language-independent but still uses conventions familiar to programmers of the C family of languages. This includes C++, C# JavaScript, JavaScript, Perl and Python. These properties make JSON a great data-interchange language. JSON is built upon two structures: 1. A collection of name/value pair. This can be realized in many languages as an object, record or struct. 2. An ordered list of values. This can be expressed in most languages as an array, vector or list. These are universal data structures. They are supported by almost all modern programming languages in one way or another.

CUDA®, a parallel computing model and platform developed by NVIDIA, is designed for general computing using graphical processing units. CUDA allows developers to accelerate computing applications using GPUs. In GPU-accelerated apps, the sequential workload is run on the CPU (which is optimized for single threaded performance), while the compute-intensive portion of the application is run on thousands of GPUs in parallel. CUDA allows developers to program in popular languages like C, C++ Fortran, Python, and MATLAB, and express parallelism using extensions. The CUDA toolkit from NVIDIA includes everything you need to create GPU-accelerated applications. The CUDA toolkit includes GPU-accelerated library, a compiler and development tools, as well as the CUDA Runtime.

PostgreSQL, a powerful open-source object-relational database system, has over 30 years of experience in active development. It has earned a strong reputation for reliability and feature robustness.

It is a core component of Emacs Lisp's interpreter. This Lisp dialect includes extensions that support text editing. Many file types can be edited using content-aware modes, including syntax coloring. You will find all the documentation you need, as well as a tutorial for novice users. Unicode support for almost all human scripts. Emacs Lisp code and a graphical interface make it easy to customize. You can access a wide range of functionality, beyond text editing. This includes a project planner and mail and news reader, debugger interface and calendar, IRC client and many more. A packaging system to download and install extensions. Support for arbitrary-size integers built-in HarfBuzz allows text shaping. Native support for JSON parsing Cairo drawing support improved Unexec can be replaced with portable dumping. Support for XDG conventions init files. Additional early-init initialization files. Support for tab bar and tab line built-in. ImageMagick does not support the resizing or rotation of images.

API is first-class. It can be discovered, versioned, and documented. MessagePack structured communication allows extensions in any language. Remote plugins can be run as co-processes safely and asynchronously. GUIs, IDEs and web browsers can embed Neovim as an editor/script host. It works everywhere with one build-type and one command. Modern terminal features include cursor styling, focus events and bracketed paste. Strong defaults and a built-in terminal emulator. Compatible with Vim's editing mode and Vimscript version 1. If you are already using Vim, start with :help vim-from-vim. The current stable version is 0.5 (RSS). The roadmap contains information about the current state of affairs and future plans. Neovim has 30% less source code than Vim. This allows for new applications to be developed without compromising Vim’s traditional roles. Lua is already included, but Vimscript has the most advanced Vimscript engine (which includes an AST-producing Parser).

Objective-C is the primary programming language that you use to create software for iOS and OS X. It's a superset the C programming language, and provides object-oriented capabilities as well as a dynamic runtime. Objective-C inherits C's syntax, primitive types and flow control statements. It also adds syntax for creating classes and methods. It adds language-level support to object graph management and object literals. Additionally, dynamic typing and binding are provided. Many responsibilities are deferred until runtime. You will spend most of your time building apps for iOS or OS X using objects. These objects are Objective-C classes that you can create yourself or Cocoa Touch.

C, a programming language that was created in 1972, is still very popular and widely used today. C is a general-purpose imperative and procedural language. The C language is used to create a variety of software and applications. This includes operating systems, code compilers, databases, and many more.

COBOL is a programming language that was created for businesses. COBOL was created in 1959 and has been in use for a longer time than other programming languages. COBOL can be used as a procedural, imperative or object-oriented programming language.

GraphQL is a query engine for APIs that can be used to create queries using your existing data. GraphQL gives clients the ability to ask for the data they need. It makes it easy to develop APIs over time and allows developers to use powerful tools. Send a GraphQL query directly to your API to get exactly what you want. GraphQL queries always return predictable results. GraphQL apps are stable and fast because they control the data they receive, not the server. GraphQL queries not only access the properties of a resource, but also follow references between them. GraphQL APIs can access all data required by your app in a single request, unlike REST APIs that require multiple URLs to load. GraphQL apps can be fast even with slow mobile network connections.