Business Software for Devin Desktop

GPT-4o, with the "o" denoting "omni," represents a significant advancement in the realm of human-computer interaction by accommodating various input types such as text, audio, images, and video, while also producing outputs across these same formats. Its capability to process audio inputs allows for responses in as little as 232 milliseconds, averaging 320 milliseconds, which closely resembles the response times seen in human conversations. In terms of performance, it maintains the efficiency of GPT-4 Turbo for English text and coding while showing marked enhancements in handling text in other languages, all while operating at a much faster pace and at a cost that is 50% lower via the API. Furthermore, GPT-4o excels in its ability to comprehend vision and audio, surpassing the capabilities of its predecessors, making it a powerful tool for multi-modal interactions. This innovative model not only streamlines communication but also broadens the possibilities for applications in diverse fields.

Claude Sonnet 3.5 sets a new standard for AI performance with outstanding benchmarks in graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval). This model shows significant improvements in understanding nuance, humor, and complex instructions, while consistently producing high-quality content that resonates naturally with users. Operating at twice the speed of Claude Opus 3, it delivers faster and more efficient results, making it perfect for use cases such as context-sensitive customer support and multi-step workflow automation.

Cline is an open-source AI coding agent built to assist developers with software development tasks across IDEs, command-line environments, and embedded applications. The platform enables developers to analyze codebases, perform coordinated multi-file edits, execute terminal commands, automate workflows, and manage large refactoring projects from a unified agent runtime. Cline supports leading AI providers including Claude, OpenAI, Gemini, DeepSeek, Mistral, Ollama, AWS Bedrock, Azure, Vertex AI, and any OpenAI-compatible endpoint, allowing teams to choose the models that best fit their infrastructure and budget. Its Plan-and-Act workflow allows developers to review execution strategies before the agent begins making code changes, while optional auto-approval enables more autonomous operation when appropriate. Developers can customize behavior using repository-specific rules, reusable skills, MCP servers, plugins, and SDK extensions that integrate databases, APIs, infrastructure, and internal tools. Cline also supports bash execution, live command monitoring, coordinated code changes, automated linting, checkpoints, diffs, and one-click undo capabilities throughout development workflows. Multi-agent orchestration enables specialized AI agents to collaborate on larger engineering tasks while scheduled jobs can automate recurring maintenance and quality assurance activities. Integration with Slack, Discord, Linear, GitHub Actions, GitLab, and other developer platforms allows Cline to participate throughout the software delivery lifecycle. By combining open-source flexibility, broad model compatibility, and powerful automation features, Cline helps engineering teams accelerate software development without sacrificing control or transparency.

Claude Sonnet 3.7, a state-of-the-art AI model by Anthropic, is designed for versatility, offering users the option to switch between quick, efficient responses and deeper, more reflective answers. This dynamic model shines in complex problem-solving scenarios, where high-level reasoning and nuanced understanding are crucial. By allowing Claude to pause for self-reflection before answering, Sonnet 3.7 excels in tasks that demand deep analysis, such as coding, natural language processing, and critical thinking applications. Its flexibility makes it an invaluable tool for professionals and organizations looking for an adaptable AI that delivers both speed and thoughtful insights.

The Model Context Protocol (MCP) is a flexible, open-source framework that streamlines the interaction between AI models and external data sources. It enables developers to create complex workflows by connecting LLMs with databases, files, and web services, offering a standardized approach for AI applications. MCP’s client-server architecture ensures seamless integration, while its growing list of integrations makes it easy to connect with different LLM providers. The protocol is ideal for those looking to build scalable AI agents with strong data security practices.

GPT-4.1 represents a significant upgrade in generative AI, with notable advancements in coding, instruction adherence, and handling long contexts. This model supports up to 1 million tokens of context, allowing it to tackle complex, multi-step tasks across various domains. GPT-4.1 outperforms earlier models in key benchmarks, particularly in coding accuracy, and is designed to streamline workflows for developers and businesses by improving task completion speed and reliability.

Claude Opus 4.7 is an advanced AI model built to push the boundaries of software engineering, automation, and complex reasoning tasks. Compared to Opus 4.6, it delivers notable improvements in handling challenging coding workflows and executing long-duration tasks with consistency. The model excels at strictly following user instructions, reducing ambiguity and improving output accuracy. It also introduces stronger self-verification capabilities, allowing it to check and refine its own results before presenting them. One of its key upgrades is enhanced multimodal functionality, particularly its ability to process higher-resolution images with greater clarity. This enables more precise analysis of visuals such as technical diagrams, dense screenshots, and structured data layouts. Opus 4.7 is also more refined in generating professional content, including polished documents, presentations, and interface designs. In real-world applications, it performs effectively across domains like finance, legal analysis, and business workflows. The model incorporates improved memory features, allowing it to retain context across extended sessions and reduce repetitive input requirements. It also introduces built-in safeguards to detect and prevent misuse, especially in sensitive cybersecurity scenarios. With broad availability across APIs and cloud platforms, Opus 4.7 offers developers and enterprises a powerful, scalable AI solution.

SWE-1.7 is Cognition’s most capable software engineering model, built to push frontier coding performance while reducing the cost of high-quality agentic rollouts. The model is designed for real-world software development tasks that require extended reasoning, codebase understanding, terminal use, debugging, feature work, migrations, and careful validation. It was trained from a Kimi K2.7 base and improved through Cognition’s reinforcement learning pipeline, including more stable training, stronger infrastructure, better data curation, and long-horizon task techniques. SWE-1.7 is especially optimized for asynchronous software engineering, where an agent needs to work through large projects over longer sessions instead of simply answering short prompts. Its self-compaction capabilities allow the model to summarize its working state and resume from that summary, helping it operate beyond the raw context window on multi-hour tasks. The model is also trained to balance task success with efficiency, using concise reasoning when possible while preserving deeper exploration for harder problems. SWE-1.7 tends to investigate codebases more thoroughly than its base model, reading files, running searches, probing edge cases, and experimenting before making changes. It is available in Devin through web, desktop, and CLI interfaces, with Cerebras serving support at 1000 TPS. SWE-1.7 gives developers and engineering teams a high-performance coding model for complex software projects at a more practical cost.

GPT-6.1 Sol is an upgraded OpenAI model that combines advanced intelligence with lower operating costs for coding, professional knowledge work, computer use, scientific research, and autonomous agents. OpenAI positions it as offering near-GPT-6 Astra intelligence at one-fifth of Astra's standard input and output token prices. The model delivers substantial improvements over GPT-6 Sol in software engineering, complex document understanding, business automation, and long-horizon computer-use workflows. On DeepSWE v1.1, GPT-6.1 Sol matches GPT-6 Astra at approximately one-fifth of the cost and surpasses GPT-6 Sol's highest score by 6.4 percentage points at lower reasoning effort. On AutomationBench, it scores 4.8 percentage points higher than GPT-6 Sol at the same reasoning setting and 2.2 points above Opus 5.5 at medium reasoning effort. GPT-6.1 Sol also improves computer use, coming within 2.1 percentage points of GPT-6 Astra on the OSWorld 2.0 offline set at maximum reasoning effort while costing roughly one-seventh as much per task. For scientific workflows, the model more than doubles GPT-6 Sol's Terminal-Bench Science 0.1 score at maximum effort while reducing average task cost by more than half. Factuality has also improved, with the share of responses containing a factual error at low reasoning effort falling from 11.4% with GPT-6 Sol to 7.7% with GPT-6.1 Sol on OpenAI's difficult error-focused evaluation. Developers can access GPT-6.1 Sol through the OpenAI API for $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens, while eligible users can access it through ChatGPT Work and Codex.

At the heart of extensible programming lies the definition of functions. Python supports both mandatory and optional parameters, keyword arguments, and even allows for arbitrary lists of arguments. Regardless of whether you're just starting out in programming or you have years of experience, Python is accessible and straightforward to learn. This programming language is particularly welcoming for beginners, while still offering depth for those familiar with other programming environments. The subsequent sections provide an excellent foundation to embark on your Python programming journey! The vibrant community organizes numerous conferences and meetups for collaborative coding and sharing ideas. Additionally, Python's extensive documentation serves as a valuable resource, and the mailing lists keep users connected. The Python Package Index (PyPI) features a vast array of third-party modules that enrich the Python experience. With both the standard library and community-contributed modules, Python opens the door to limitless programming possibilities, making it a versatile choice for developers of all levels.

DeepSeek-R1 is a cutting-edge open-source reasoning model created by DeepSeek, aimed at competing with OpenAI's Model o1. It is readily available through web, app, and API interfaces, showcasing its proficiency in challenging tasks such as mathematics and coding, and achieving impressive results on assessments like the American Invitational Mathematics Examination (AIME) and MATH. Utilizing a mixture of experts (MoE) architecture, this model boasts a remarkable total of 671 billion parameters, with 37 billion parameters activated for each token, which allows for both efficient and precise reasoning abilities. As a part of DeepSeek's dedication to the progression of artificial general intelligence (AGI), the model underscores the importance of open-source innovation in this field. Furthermore, its advanced capabilities may significantly impact how we approach complex problem-solving in various domains.

Neovim boasts a first-class API that is easily discoverable, versioned, and well-documented. Its use of MessagePack for structured communication allows for extensions to be created in any programming language. Remote plugins operate as co-processes, ensuring safety and asynchronous execution. Various platforms such as GUIs, IDEs, and web browsers can seamlessly integrate Neovim as their editing tool or scripting host. This consistency extends across all environments, utilizing a single build type and command. It also offers modern terminal capabilities, including cursor styling, focus events, and bracketed paste functionality. With a built-in terminal emulator and sensible defaults, Neovim maintains full compatibility with Vim's editing model and Vimscript v1. If you are transitioning from Vim, starting with :help nvim-from-vim is recommended. The current stable release is version 0.5 (RSS), and interested users can check the roadmap for updates and future objectives. Neovim aims to facilitate new applications while maintaining its commitment to Vim's established functionalities, all while featuring 30% less source code than Vim. Additionally, while Lua is integrated into Neovim, it also offers support for Vimscript through the most sophisticated Vimscript engine available, which includes an AST-producing parser for enhanced performance. This dual support allows users to leverage their existing scripts while exploring the capabilities of Lua.

Zero serves as a search engine tailored for AI agents, facilitating their access to a vast array of tools, APIs, and services available on the internet. By eliminating the need for users to individually locate integrations, handle numerous API keys, or set up each feature an agent might utilize, Zero compiles API services into an index, allowing agents to effortlessly discover, assess, and employ functionalities as required. The process begins with the installation of the CLI and executing the command zero init, which establishes a wallet for the agent to utilize when accessing paid features. Subsequently, any agent capable of executing commands can search within Zero to find the appropriate capability, select the most suitable option, and directly invoke the service as needed. Designed to be compatible with various agents and programming environments such as Claude, Cursor, Cline, ChatGPT, Windsurf, Replit, Augment, and others, Zero’s primary function is to streamline service discovery. While it assists the agent in locating the necessary service, it is important to note that requests are sent straight from the agent to the provider, ensuring that Zero remains unaware of the specifics of API calls. This innovative approach not only enhances efficiency but also empowers agents to operate with greater flexibility and speed.

Gemini 3.8 Flash stands out as Google's most advanced model for Flash, offering substantial enhancements compared to version 3.7 in areas such as software engineering, agent-based tasks, and intricate multi-step reasoning within specialized fields. Designed for extended coding projects and autonomous agents, it adeptly addresses complex engineering challenges in a comprehensive manner, ensuring the reliability essential for critical enterprise autonomy in specialized knowledge areas. This model excels particularly in quantitative and professional disciplines that demand sophisticated analysis and reporting, as well as in multi-step reasoning tasks spanning STEM, humanities, and professional domains. The improvements it showcases arise from a fundamental design decision: Gemini 3.8 Flash intensifies its focus on challenging tasks by conducting additional reasoning steps and utilizing tools iteratively, thus optimizing its performance. When operating at higher effort levels, it may consume more tokens to achieve superior outcomes, while developers also have the option to adjust to lower effort levels for varied results. Overall, this flexibility allows for tailored use based on project needs and desired outcomes.

JetBrains Rider is a robust and efficient cross-platform IDE for .NET development, allowing users to create applications for .NET, ASP.NET, .NET Core, Xamarin, and Unity across Windows, Mac, and Linux operating systems. Built on the IntelliJ platform and enhanced by ReSharper, Rider offers compatibility with .NET Framework, cross-platform .NET Core, and Mono projects. This versatility enables developers to build a diverse array of applications, from desktop software and web services to Unity games and mobile apps. Rider boasts over 2200 live code inspections along with numerous context actions and refactorings, seamlessly integrating ReSharper's capabilities with the comprehensive features of the IntelliJ platform. With its extensive functionality, Rider maintains a focus on speed and responsiveness, ensuring a smooth development experience. Additionally, it supports running and debugging across various runtimes while being fully operational on multiple operating systems. Moreover, Rider incorporates more than 60 refactorings from ReSharper and offers a wide selection of over 450 context actions, enhancing productivity further.

Mailtrap is an email API and SMTP service provider built for developer and product teams. It is designed to send transactional and bulk emails with a strong focus on high deliverability rates and reliable performance. Quick integration is enabled through official SDKs for major programming languages, ready-to-use code snippets, and extensive resources, including broad documentation, blog guides, and video tutorials. The platform is backed by 24/7 support from a team of engineers and deliverability experts. Mailtrap’s robust infrastructure is built to handle high-volume sending, allowing businesses to scale confidently. High inboxing rates are ensured with features like dedicated IPs, auto warm-up, separate sending streams, and multi-tenant accounts.

Deepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud.

Leverage the language-specific syntax and error highlighting, along with features like code formatting, completion, and instant documentation to enhance your coding experience. Utilize intelligent search to swiftly navigate to any class, file, symbol, or even specific IDE actions and tool windows. With just one click, you can access declarations, super methods, tests, usages, implementations, and more. Experience incredibly fast navigation within your Rails project, supported by an MVC-based project view, as well as diagrams illustrating model, class, and gem dependencies. Adhere to community best practices through code inspections that validate your code for various potential issues, offering immediate improvements via quick-fix options. Automated refactorings ensure that your code remains clean and maintainable, while Rails-aware features facilitate project-wide modifications: for instance, renaming a controller will automatically adjust the corresponding helper, views, and tests. This comprehensive set of tools allows for a more efficient workflow, enabling developers to focus on building robust applications without getting bogged down by mundane tasks.

With a comprehensive grasp of your code architecture, AppCode efficiently handles routine activities, minimizing the need for excessive typing. You can swiftly navigate to any file, class, or symbol within your project, utilizing both hierarchical and structural views to enhance your exploration of the project layout. AppCode features two types of code completion: a basic as-you-type option and the more sophisticated SmartType completion, which allows for precise filtering of suggestions. You can effortlessly modify and enhance your code at any moment, benefiting from safe, accurate, and dependable refactoring tools. The application continuously assesses your code quality, alerting you to errors and code smells while providing automated quick-fixes for resolution. With an extensive array of code inspections available for Objective-C, Swift, C/C++, and various other supported languages, all inspections occur in real-time. Additionally, when renaming variables, constants, functions, type names, and classes, you can trust that AppCode will automatically update all instances throughout the codebase, ensuring consistency and accuracy. This seamless integration of features makes AppCode an invaluable tool for developers seeking to streamline their coding process.

Real-time error detection and fix suggestions, along with swift and secure refactoring options that allow for easy one-step undo, intelligent code completion, the identification of unused code, and helpful documentation prompts, assist all Go developers—from beginners to seasoned experts—in crafting fast, efficient, and dependable code. Delving into and deciphering team projects, legacy code, or unfamiliar systems can be time-consuming and challenging. GoLand's navigation tools facilitate seamless movement through code by allowing instant transitions to shadowed methods, various implementations, usages, declarations, or interfaces tied to specific types. You can easily navigate between different types, files, or symbols, and assess their usages, all while benefiting from organized grouping by the type of usage. Additionally, integrated tools enable you to run and debug applications effortlessly, as you can write and test your code without needing extra plugins or complex configurations, all within the IDE environment. With a built-in Code Coverage feature, you can ensure that your tests are thorough and comprehensive, preventing any critical areas from being overlooked. This comprehensive set of tools ultimately streamlines the development process and enhances overall productivity.

Grok Code Fast 1 introduces a new class of coding-focused AI models that prioritize responsiveness, affordability, and real-world usability. Tailored for agentic coding platforms, it eliminates the lag developers often experience with reasoning loops and tool calls, creating a smoother workflow in IDEs. Its architecture was trained on a carefully curated mix of programming content and fine-tuned on real pull requests to reflect authentic development practices. With proficiency across multiple languages, including Python, Rust, TypeScript, C++, Java, and Go, it adapts to full-stack development scenarios. Grok Code Fast 1 excels in speed, processing nearly 190 tokens per second while maintaining reliable performance across bug fixes, code reviews, and project generation. Pricing makes it widely accessible at $0.20 per million input tokens, $1.50 per million output tokens, and just $0.02 for cached inputs. Early testers, including GitHub Copilot and Cursor users, praise its responsiveness and quality. For developers seeking a reliable coding assistant that’s both fast and cost-effective, Grok Code Fast 1 is a daily driver built for practical software engineering needs.

Brief is a product intelligence platform that helps organizations bridge the gap between strategic planning and software development. It continuously gathers decisions, requirements, and insights from the tools teams already use, turning fragmented information into a structured knowledge network. The platform's Product Graph connects product goals, technical tradeoffs, and historical decisions so teams can quickly access the context behind their work. Its web-based dashboard serves as a central hub where users can search, review, and understand how decisions influence product direction. Brief integrates directly with development environments through its MCP Server and CLI, allowing AI coding assistants to access critical business context while generating code. This helps AI tools produce outputs that better reflect product requirements and company priorities. Teams can reduce misunderstandings, avoid duplicate efforts, and improve the quality of delivered features. The platform supports faster execution by ensuring both engineers and AI agents work from the same source of truth. Brief is designed to help companies scale decision-making while maintaining consistency across product, engineering, and operations teams.

WebStorm is JetBrains’ comprehensive IDE focused on JavaScript and TypeScript development, offering a rich set of features to streamline coding, debugging, and version control. It supports all modern web technologies and frameworks including HTML, CSS, React, Angular, Vue, Node.js, SQL, and MongoDB, providing a seamless development experience. WebStorm understands your entire codebase, enabling fast navigation and smart refactoring even in large projects. Developers can rely on its built-in tools for Git operations, test running, and resolving merge conflicts with ease. The IDE now incorporates JetBrains AI, delivering free, advanced code completions, multi-file edits, and contextual assistance powered by the latest AI models. WebStorm’s support for collaborative remote development allows teams to work together in real time and access remote environments like GitHub Codespaces. With extensive customization options through themes, fonts, keymaps, and plugins, WebStorm adapts perfectly to individual preferences. It’s trusted worldwide for making complex web development tasks more manageable and enjoyable.

Node.js serves as an asynchronous event-driven JavaScript runtime specifically engineered for creating scalable network applications. Each time a connection is made, a callback function is triggered; however, if there are no tasks to execute, Node.js enters a sleep state. This approach stands in stark contrast to the more prevalent concurrency model that relies on operating system threads. Networking based on threads can be quite inefficient and often presents significant usability challenges. Additionally, Node.js users don't have to concern themselves with the complications of dead-locking the process since the architecture does not utilize locks. In fact, very few functions within Node.js handle I/O directly, ensuring that the process remains unblocked except when synchronous methods from Node.js's standard library are utilized. This non-blocking nature makes it highly feasible to develop scalable systems using Node.js. The design of Node.js shares similarities with, and draws inspiration from, frameworks like Ruby's Event Machine and Python's Twisted, extending the event model even further. Notably, Node.js incorporates the event loop as an integral runtime feature rather than relegating it to a mere library, thus enhancing its efficiency and functionality. This distinctive approach makes Node.js an attractive choice for developers looking to create high-performance applications.

Laravel is an innovative web application framework known for its expressive and elegant syntax. We've established a solid foundation that allows you to focus on creativity without getting bogged down by trivial details. Our passion for clean code mirrors your own, and the simple yet powerful syntax places incredible capabilities right at your fingertips. Every feature has been meticulously designed to ensure a delightful developer experience. You can easily dispatch background jobs for lengthy operations such as sending emails and generating reports, all while keeping response times incredibly fast. Eliminate the hassle of authentication; Laravel offers built-in scaffolding for secure, session-based authentication, and with Laravel Sanctum, implementing authentication for APIs and mobile apps becomes a breeze. Furthermore, Laravel is dedicated to providing an unparalleled testing experience that you will truly appreciate. Say goodbye to fragile tests that are difficult to manage; instead, enjoy beautiful testing APIs, efficient database seeding, and seamless browser testing, empowering you to deploy your applications with complete confidence. This comprehensive approach aims to enhance both productivity and satisfaction for developers in every project.