Business Software for GitHub Copilot - Page 2

Top Software that integrates with GitHub Copilot as of November 2025 - Page 2

  • 1
    Laravel

    Laravel

    Laravel

    Laravel is a web application framework with expressive, elegant syntax. We’ve already laid the foundation — freeing you to create without sweating the small things. We love clean code just as much as you do. Simple, elegant syntax puts amazing functionality at your fingertips. Every feature has been thoughtfully considered to provide a wonderful developer experience. Dispatch background jobs to perform slow tasks like sending emails and generating reports while maintaining blazing fast response times. Stop sweating authentication. Laravel provides scaffolding for secure, session-based authentication, while Laravel Sanctum provides painless authentication for APIs and mobile applications. Laravel is committed to delivering the best testing experience you can imagine. No more brittle tests that are a nightmare to maintain. Beautiful testing APIs, database seeding, and painless browser testing let you ship with confidence.
    Starting Price: Free
  • 2
    PHP

    PHP

    PHP

    Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world. The PHP development team announces the immediate availability of PHP 8.0.20. When using the PHP.net website, there is even no need to get to a search box to access the content you would like to see quickly. You can use short PHP.net URLs to access pages directly.
    Starting Price: Free
  • 3
    Swift

    Swift

    Apple

    Writing Swift code is interactive and fun, the syntax is concise yet expressive, and Swift includes modern features developers love. Swift code is safe by design and produces software that runs lightning-fast. Swift is the result of the latest research on programming languages, combined with decades of experience building Apple platforms. Named parameters are expressed in a clean syntax that makes APIs in Swift even easier to read and maintain. Even better, you don’t even need to type semi-colons. Inferred types make code cleaner and less prone to mistakes, while modules eliminate headers and provide namespaces. To best support international languages and emoji, Strings are Unicode-correct and use a UTF-8 based encoding to optimize performance for a wide-variety of use cases. You can even write concurrent code with simple, built-in keywords that define asynchronous behavior, making your code more readable and less error-prone.
    Starting Price: Free
  • 4
    Ruby

    Ruby

    Ruby Language

    Wondering why Ruby is so popular? Its fans call it a beautiful, artful language. And yet, they say it’s handy and practical. Since its public release in 1995, Ruby has drawn devoted coders worldwide. In 2006, Ruby achieved mass acceptance. With active user groups formed in the world’s major cities and Ruby-related conferences filled to capacity. Ruby-Talk, the primary mailing list for discussion of the Ruby language, climbed to an average of 200 messages per day in 2006. It has dropped in recent years as the size of the community pushed discussion from one central list into many smaller groups. Ruby is ranked among the top 10 on most of the indices that measure the growth and popularity of programming languages worldwide (such as the TIOBE index). Much of the growth is attributed to the popularity of software written in Ruby, particularly the Ruby on Rails web framework.
    Starting Price: Free
  • 5
    TypeScript

    TypeScript

    TypeScript

    TypeScript adds additional syntax to JavaScript to support a tighter integration with your editor. Catch errors early in your editor. TypeScript code converts to JavaScript, which runs anywhere JavaScript runs: In a browser, on Node.js or Deno and in your apps. TypeScript understands JavaScript and uses type inference to give you great tooling without additional code. TypeScript was used by 78% of the 2020 State of JS respondents, with 93% saying they would use it again. The most common kinds of errors that programmers write can be described as type errors: a certain kind of value was used where a different kind of value was expected. This could be due to simple typos, a failure to understand the API surface of a library, incorrect assumptions about runtime behavior, or other errors.
    Starting Price: Free
  • 6
    Go

    Go

    Golang

    With a strong ecosystem of tools and APIs on major cloud providers, it is easier than ever to build services with Go. With popular open source packages and a robust standard library, use Go to create fast and elegant CLIs. With enhanced memory performance and support for several IDEs, Go powers fast and scalable web applications. With fast build times, lean syntax, an automatic formatter and doc generator, Go is built to support both DevOps and SRE. Everything there is to know about Go. Get started on a new project or brush up for your existing Go code. An interactive introduction to Go in three sections. Each section concludes with a few exercises so you can practice what you've learned. The Playground allows anyone with a web browser to write Go code that we immediately compile, link, and run on our servers.
    Starting Price: Free
  • 7
    Warp

    Warp

    Warp.dev

    Warp is a blazingly fast, Rust-based terminal reimagined from the ground up to work like a modern app. Fully native, Rust-based terminal. No Electron or web-tech. All cloud features are opt-in. Data is encrypted at rest. Warp works out of the box with zsh, fish, and bash. Input that feels like a code editor. Writing code in your terminal shouldn’t feel like 1978. Edit your commands like in a modern code editor with selections, cursor positioning, and completion menus. Our GPT-3 powered AI search will convert natural language into executable shell commands. It's like GitHub Copilot, but for the terminal. Navigate through your terminal, command by command. Copy the output with one click and zero scrolls. Access common workflows with a simple GUI. You can create your own workflows, and share them with your team.
    Starting Price: Free
  • 8
    Lamini

    Lamini

    Lamini

    Lamini makes it possible for enterprises to turn proprietary data into the next generation of LLM capabilities, by offering a platform for in-house software teams to uplevel to OpenAI-level AI teams and to build within the security of their existing infrastructure. Guaranteed structured output with optimized JSON decoding. Photographic memory through retrieval-augmented fine-tuning. Improve accuracy, and dramatically reduce hallucinations. Highly parallelized inference for large batch inference. Parameter-efficient finetuning that scales to millions of production adapters. Lamini is the only company that enables enterprise companies to safely and quickly develop and control their own LLMs anywhere. It brings several of the latest technologies and research to bear that was able to make ChatGPT from GPT-3, as well as Github Copilot from Codex. These include, among others, fine-tuning, RLHF, retrieval-augmented training, data augmentation, and GPU optimization.
    Starting Price: $99 per month
  • 9
    GitHub Advanced Security
    With AI-powered remediation, static analysis, secret scanning, and software composition analysis, GitHub Advanced Security helps developers and security teams work together to eliminate security debt and keep new vulnerabilities out of code. Code scanning with Copilot Autofix detects vulnerabilities, provides contextual explanations, and suggests fixes in the pull request and for historical alerts. Solve your backlog of application security debt. Security campaigns target and generate autofixes for up to 1,000 alerts at a time, rapidly reducing the risk of application vulnerabilities and zero-day attacks. Secret scanning with push protection guards over 200 token types and patterns from more than 150 service providers, even elusive secrets like passwords and PII. Powered by security experts and a global community of more than 100 million developers, GitHub Advanced Security provides the insights and automation you need to ship more secure software on schedule.
    Starting Price: $49 per month per user
  • 10
    GPT-4.1 mini
    GPT-4.1 mini is a compact version of OpenAI’s powerful GPT-4.1 model, designed to provide high performance while significantly reducing latency and cost. With a smaller size and optimized architecture, GPT-4.1 mini still delivers impressive results in tasks such as coding, instruction following, and long-context processing. It supports up to 1 million tokens of context, making it an efficient solution for applications that require fast responses without sacrificing accuracy or depth.
    Starting Price: $0.40 per 1M tokens (input)
  • 11
    GPT-4.1 nano
    GPT-4.1 nano is the smallest and most efficient version of OpenAI's GPT-4.1 model, optimized for low-latency, cost-effective AI processing. Despite its compact size, GPT-4.1 nano delivers strong performance with a 1 million token context window, making it ideal for applications like classification, autocompletion, and smaller-scale tasks that require fast responses. It provides a highly efficient solution for businesses and developers who need an AI model that balances speed, cost, and performance.
    Starting Price: $0.10 per 1M tokens (input)
  • 12
    Pinecone Rerank v0
    Pinecone Rerank V0 is a cross-encoder model optimized for precision in reranking tasks, enhancing enterprise search and retrieval-augmented generation (RAG) systems. It processes queries and documents together to capture fine-grained relevance, assigning a relevance score from 0 to 1 for each query-document pair. The model's maximum context length is set to 512 tokens to preserve ranking quality. Evaluations on the BEIR benchmark demonstrated that Pinecone Rerank V0 achieved the highest average NDCG@10, outperforming other models on 6 out of 12 datasets. For instance, it showed up to a 60% boost on the Fever dataset compared to Google Semantic Ranker and over 40% on the Climate-Fever dataset relative to cohere-v3-multilingual or voyageai-rerank-2. The model is accessible through Pinecone Inference and is available to all users in public preview.
    Starting Price: $25 per month
  • 13
    ByteRover

    ByteRover

    ByteRover

    ByteRover is a self-improving memory layer for AI coding agents that unifies the creation, retrieval, and sharing of “vibe-coding” memories across projects and teams. Designed for dynamic AI-assisted development, it integrates into any AI IDE via the Memory Compatibility Protocol (MCP) extension, enabling agents to automatically save and recall context without altering existing workflows. It provides instant IDE integration, automated memory auto-save and recall, intuitive memory management (create, edit, delete, and prioritize memories), and team-wide intelligence sharing to enforce consistent coding standards. These capabilities let developer teams of all sizes maximize AI coding efficiency, eliminate repetitive training, and maintain a centralized, searchable memory store. Install ByteRover’s extension in your IDE to start capturing and leveraging agent memory across projects in seconds.
    Starting Price: $19.99 per month
  • 14
    Dash0

    Dash0

    Dash0

    Dash0 is an OpenTelemetry-native observability platform that unifies metrics, logs, traces, and resources into one intuitive interface, enabling fast and context-rich monitoring without vendor lock-in. It centralizes Prometheus and OpenTelemetry metrics, supports powerful filtering of high-cardinality attributes, and provides heatmap drilldowns and detailed trace views to pinpoint errors and bottlenecks in real time. Users benefit from fully customizable dashboards built on Perses, with support for code-based configuration and Grafana import, plus seamless integration with predefined alerts, checks, and PromQL queries. Dash0's AI-enhanced tools, such as Log AI for automated severity inference and pattern extraction, enrich telemetry data without requiring users to even notice that AI is working behind the scenes. These AI capabilities power features like log classification, grouping, inferred severity tagging, and streamlined triage workflows through the SIFT framework.
    Starting Price: $0.20 per month
  • 15
    Omnara

    Omnara

    Omnara

    Omnara is the first agent command center that transforms your AI agents, like Claude Code, Cursor, GitHub Copilot, and custom builds, into collaborative teammates accessible from terminal, web, or mobile. Seamlessly start AI agents from any interface and instantly switch between devices while retaining the same session. Get real-time push notifications when an agent faces uncertainty or needs human input, and respond instantly from your phone or browser. It streams activity logs, Git diffs, and interactive prompts via SSE, offering a unified dashboard where you can review, approve, reject, or guide agent decisions with one tap. Built as a lightweight CLI wrapper that mirrors the native agent experience, Omnara ensures continuous workflow, visibility, and control while freeing users from being tethered to their desks.
    Starting Price: Free
  • 16
    Crush

    Crush

    Charm

    Crush is a glamorous AI coding agent that lives right in your terminal, seamlessly connecting your tools, code, and workflows with any Large Language Model (LLM) of your choice. It offers multi-model flexibility, letting you choose from a variety of LLMs or add your own using OpenAI or Anthropic-compatible APIs, and supports mid-session switching between them while preserving context. Crush is session-based, enabling multiple project-specific contexts to coexist. Powered by Language Server Protocol (LSP) enhancements, it incorporates coding-aware context just like a developer’s editor. It's highly extensible via Model Context Protocol (MCP) plugins using HTTP, stdio, or SSE for added capabilities. Crush runs anywhere, leveraging Charm’s sleek Bubble Tea-based TUI for a polished terminal user experience. Written in Go and MIT-licensed (with FSL-1.1 for trademarks), enabling developers to stay in their terminal while taking advantage of expressive AI coding assistance.
    Starting Price: Free
  • 17
    GitHub Copilot CLI
    GitHub Copilot CLI brings the core capabilities of the Copilot coding assistant into your terminal, enabling you to write, debug, refactor, and understand code via natural language directly in the command line. It works locally and in sync with your GitHub workflow, granting the ability to access repositories, issues, and pull requests through conversational commands while staying authenticated with your GitHub account. The tool operates as an agent in your terminal; you can ask it to autonomously create or modify files, execute commands, implement new features, fix bugs, prototype, and adjust codebases based on your specifications. Deep GitHub integration ensures context awareness (e.g., code history, branches, project layout), and the CLI experience is optimized to reduce context switching between your editor and terminal. The system supports iterative collaboration, allowing you to fine-tune or reissue commands as the project evolves.
    Starting Price: Free
  • 18
    Vivgrid

    Vivgrid

    Vivgrid

    Vivgrid is a development platform for AI agents that emphasizes observability, debugging, safety, and global deployment infrastructure. It gives you full visibility into agent behavior, logging prompts, memory fetches, tool usage, and reasoning chains, letting developers trace where things break or deviate. You can test, evaluate, and enforce safety policies (like refusal rules or filters), and incorporate human-in-the-loop checks before going live. Vivgrid supports the orchestration of multi-agent systems with stateful memory, routing tasks dynamically across agent workflows. On the deployment side, it operates a globally distributed inference network to ensure low-latency (sub-50 ms) execution and exposes metrics like latency, cost, and usage in real time. It aims to simplify shipping resilient AI systems by combining debugging, evaluation, safety, and deployment into one stack, so you're not stitching together observability, infrastructure, and orchestration.
    Starting Price: $25 per month
  • 19
    GPT-5.1-Codex
    GPT-5.1-Codex is a specialized version of the GPT-5.1 model built for software engineering and agentic coding workflows. It is optimized for both interactive development sessions and long-horizon, autonomous execution of complex engineering tasks, such as building projects from scratch, developing features, debugging, performing large-scale refactoring, and code review. It supports tool-use, integrates naturally with developer environments, and adapts reasoning effort dynamically, moving quickly on simple tasks while spending more time on deep ones. The model is described as producing cleaner and higher-quality code outputs compared to general models, with closer adherence to developer instructions and fewer hallucinations. GPT-5.1-Codex is available via the Responses API route (rather than a standard chat API) and comes in variants including “mini” for cost-sensitive usage and “max” for the highest capability.
    Starting Price: $1.25 per input
  • 20
    Pensero

    Pensero

    Pensero

    Pensero is an AI-powered observability and performance analytics platform built to help engineering teams and their leaders understand, measure, and optimize software development work. It automatically captures and unifies “work signals” from the tools your team already uses (for example, code repositories, issue trackers, communication and collaboration platforms), decodes fragmented activity into atomic insights, and transforms those into objective metrics, live dashboards, and clear reports, showing not just how much work was done, but also accounting for complexity and workflow. Pensero’s model lets you see real-time visibility into what’s being built, who’s contributing, how work flows through the organization, and how team output aligns with the roadmap or business goals. Because it integrates seamlessly and can be configured and used at scale, teams go from raw tool-data to actionable insight quickly.
    Starting Price: $50 per month
  • 21
    Emdash

    Emdash

    Emdash

    Emdash is an orchestration layer that lets you run multiple coding agents in parallel, each in its own isolated Git worktree, so you can simultaneously spin up different agents to tackle independent subtasks or experiments without interference. It’s provider-agnostic, meaning you can pick from various AI models and CLIs (for example, Claude Code, Codex, and others) to fit your workflow. With Emdash, you can assign issues or tickets (from Linear, GitHub, or Jira) directly to a chosen agent, then watch multiple agents operate side by side in real time. The UI shows live agent status and activity, and once agents generate code, you can review diffs, comment, and open pull requests, all without leaving Emdash. Because every agent runs in a separate worktree, changes stay sandboxed and comparable, enabling you to test different implementations or strategies side-by-side safely.
    Starting Price: Free
  • 22
    JavaScript

    JavaScript

    JavaScript

    JavaScript is a scripting language and programming language for the web that enables developers to build dynamic elements on the web. Over 97% of the websites in the world use client-side JavaScript. JavaScript is one of the most important scripting languages on the web. Strings in JavaScript are contained within a pair of either single quotation marks '' or double quotation marks "". Both quotes represent Strings but be sure to choose one and STICK WITH IT. If you start with a single quote, you need to end with a single quote. There are pros and cons to using both IE single quotes tend to make it easier to write HTML within Javascript as you don’t have to escape the line with a double quote. Let’s say you’re trying to use quotation marks inside a string. You’ll need to use opposite quotation marks inside and outside of JavaScript single or double quotes.
    Starting Price: Free
  • 23
    C#

    C#

    Microsoft

    C# (also known as C Sharp, pronounced "See Sharp") is a modern, object-oriented, and type-safe programming language. C# enables developers to build many types of secure and robust applications that run in .NET. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers. This tour provides an overview of the major components of the language in C# 8 and earlier. C# is an object-oriented, component-oriented programming language. C# provides language constructs to directly support these concepts, making C# a natural language in which to create and use software components. Since its origin, C# has added features to support new workloads and emerging software design practices. At its core, C# is an object-oriented language. You define types and their behavior.
    Starting Price: Free
  • 24
    JSON

    JSON

    JSON

    JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.
    Starting Price: Free
  • 25
    GPT-5

    GPT-5

    OpenAI

    GPT-5 is OpenAI’s most advanced AI model, delivering smarter, faster, and more useful responses across a wide range of topics including math, science, finance, and law. It features built-in thinking capabilities that allow it to provide expert-level answers and perform complex reasoning. GPT-5 can handle long context lengths and generate detailed outputs, making it ideal for coding, research, and creative writing. The model includes a ‘verbosity’ parameter for customizable response length and improved personality control. It integrates with business tools like Google Drive and SharePoint to provide context-aware answers while respecting security permissions. Available to everyone, GPT-5 empowers users to collaborate with an AI assistant that feels like a knowledgeable colleague.
    Starting Price: $1.25 per 1M tokens
  • 26
    Depth AI

    Depth AI

    Depth AI

    AI that deeply understands your codebase. Chat with your codebase or build customised AI assistants on different parts of your repo and deploy them wherever you work — Slack, Github Copilot, Jira and more. Depth AI constructs a comprehensive knowledge graph of your codebase, enabling it to answer deep technical questions. Deploy your AI assistants anywhere your team works. Seamless integration with your existing tools and workflows. Create custom assistants and deploy them in your workflows. Select specific files and folders from your repository to create specialised assistants. Chat with them in our webapp or deploy to Slack, Github or any other surface using our API. Enterprise-grade security and compliance features to keep your data safe and secure.
  • 27
    Traycer

    Traycer

    Traycer AI

    Traycer transforms your ideas into clear, step-by-step plans that AI coding tools like Claude Code and Cursor can follow easily. Spend less time writing prompts and complete your projects faster. ✨ Detailed step by step implementation plans ✅ Perfect for large scale code refactoring and feature roll 🛠️ Seamless IDE integration (Copilot, Cursor, Windsurf, etc) 🤖 Powered by cutting-edge AI models like Sonnet 4, o3, GPT 4.1 and more 🎁 Free to use forever 🚀 14 day Pro trial, no credit card needed
    Starting Price: Free
  • 28
    VibeScan

    VibeScan

    VibeScan

    VibeScan is an AI-powered code scanning and fixing platform that enables developers and teams to confidently ship AI-generated code by automatically detecting and resolving issues that often slip through manual reviews. Users simply upload their code, whether written by traditional means or AI tools like OpenAI, Claude, GitHub Copilot, Cursor, etc., and VibeScan performs a comprehensive analysis covering security vulnerabilities (such as exposed API keys or SQL injection risks), performance bottlenecks, code quality concerns (like duplication or poor structure), and readiness for launch (including payment integrations, analytics, rate limiting, and privacy policy checks). The platform presents findings in an intuitive dashboard, with scores and one-click auto-fixes to streamline remediation. It supports large codebases, scanning up to 500,000 lines, and integrates with popular repositories and workflow tools.
    Starting Price: $13.30 per month
  • 29
    opencode

    opencode

    Anomaly Innovations

    opencode is the AI coding agent purpose-built for the terminal. It delivers a responsive, themeable terminal UI that feels native while streamlining your workflow. With LSP auto-loading, it ensures the right language servers are always available for accurate, context-aware coding support. Developers can spin up multiple AI agents in parallel sessions on the same project, maximizing productivity. Shareable links make it easy to reference, debug, or collaborate across sessions. Supporting Claude Pro and 75+ LLM providers via Models.dev, opencode gives you full freedom to choose your coding companion.
    Starting Price: Free
  • 30
    GPT‑5-Codex
    GPT-5-Codex is a version of GPT-5 further optimized for agentic coding within Codex, focusing on real-world software engineering tasks (building full projects from scratch, adding features & tests, debugging, large-scale refactors, and code reviews). Codex now moves faster, is more reliable, and works better in real-time across your development environments, whether in terminal/CLI, IDE extension, via the web, in GitHub, or even on mobile. GPT-5-Codex is the default model for cloud tasks and code review; developers can also opt to use it locally via Codex CLI or the IDE extension. It dynamically adjusts how much “reasoning time” it spends depending on task complexity; small, well-defined tasks are fast and snappy; more complex ones (refactors, large feature work) get more sustained effort. Code review is stronger; it catches critical bugs before shipping.