Best Artificial Intelligence Software for SWE-1.7
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Compare the Top Artificial Intelligence Software that integrates with SWE-1.7 as of July 2026
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This a list of Artificial Intelligence software that integrates with SWE-1.7. Use the filters on the left to add additional filters for products that have integrations with SWE-1.7. View the products that work with SWE-1.7 in the table below.
What is Artificial Intelligence Software for SWE-1.7?
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for SWE-1.7 currently available using the table below. This list is updated regularly.
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1
Devin Desktop
Cognition
Devin Desktop (formerly Windsurf) is an AI-powered development environment that combines a full-featured IDE with advanced coding agents in a unified workspace. Formerly known as Windsurf, the platform enables developers to manage local and cloud-based AI agents, delegate tasks, review code, and ship software without leaving their editor. Developers can use multiple coding agents simultaneously to research, write, test, debug, and improve code while maintaining full visibility into every change. Devin Desktop includes features such as agent orchestration, shared workspaces, intelligent code completion, contextual code search, and integrated review tools. The platform supports a wide range of models, extensions, language servers, and MCP integrations, allowing teams to work with their preferred tools and workflows. Devin Desktop helps engineering teams accelerate software development, improve productivity, and manage AI-assisted coding at scale.Starting Price: Free -
2
Devin
Cognition AI
Devin is an AI-driven software development assistant designed to collaborate with engineering teams to automate and accelerate coding tasks. It helps with tasks like setting up repositories, writing code, debugging, and performing migrations, all while working autonomously or alongside human developers. Devin is capable of learning from examples, making it more efficient over time. Its use has led to significant time and cost savings in large-scale projects, as seen in its deployment at Nubank, where it delivered 8-12x faster migrations and reduced costs by over 20x. Devin is particularly useful in refactoring and automating repetitive engineering tasks.Starting Price: $20/month -
3
PowerShell
Microsoft
PowerShell is a cross-platform task automation and configuration management framework, consisting of a command-line shell and scripting language. Unlike most shells, which accept and return text, PowerShell is built on top of the .NET Common Language Runtime (CLR), and accepts and returns .NET objects. This fundamental change brings entirely new tools and methods for automation. Unlike traditional command-line interfaces, PowerShell cmdlets are designed to deal with objects. An object is structured information that is more than just the string of characters appearing on the screen. Command output always carries extra information that you can use if you need it. If you've used text-processing tools to process data in the past, you'll find that they behave differently when used in PowerShell. In most cases, you don't need text-processing tools to extract specific information. You directly access portions of the data using standard PowerShell object syntax.Starting Price: Free -
4
Cerebras
Cerebras
We’ve built the fastest AI accelerator, based on the largest processor in the industry, and made it easy to use. With Cerebras, blazing fast training, ultra low latency inference, and record-breaking time-to-solution enable you to achieve your most ambitious AI goals. How ambitious? We make it not just possible, but easy to continuously train language models with billions or even trillions of parameters – with near-perfect scaling from a single CS-2 system to massive Cerebras Wafer-Scale Clusters such as Andromeda, one of the largest AI supercomputers ever built.
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