Windsurf Editor VS Cloudify
Compare Windsurf Editor VS Cloudify and see what are their differences
AI agents that spec, build, test, and ship code โ with voice chat, deep GitHub integration, and zero LLM markup.
featured
Windsurf Editor
Cursor
GitHub Copilot
Claude Code
replit
Lovable
VS Code
Google Antigravity
Cloudify
OpenShift
Kubernetes
Heroku
Morpheus
Microsoft Azure
Apache Mesos
Redis
Cloudify provides infrastructure automation using โEnvironment as a Serviceโ technology to deploy and continuously manage any cloud, private data center, or Kubernetes service from one central point while leveraging existing toolchains; Terraform, Ansible, and more. Use Cloudify to import existing automation templates and scripts and automatically convert them into certified environments. Manage them using the Cloudify console or export these environments to ServiceNow and enable users to deploy, continuously manage and maintain them as part of approval workflows.
Key Values: - Speed up deployments of your Test/Dev/Production environments. - Manage customers' heterogeneous cloud environments. - Enable Continuous Updates (Day-2) for your Production environments. - A clean API to work on top of all your tools that can easily be used within ServiceNow. - Manage Kubernetes clusters at scale.
Windsurf Editor CloudifyBased on our record, Windsurf Editor should be more popular than Cloudify. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
So the main change here from 2025 is that I've completely stopped using Continue.dev, Cursor and Windsurf. Ultimately, with the improvements that JetBrains have been making to their IDEs, and with the addition of Junie and fantastic plugins for Claude Code and Gemini etc, it just doesn't make sense to use anything else... - Source: dev.to / about 1 month ago
Windsurf is an AI-native IDE that uses a Cascade system to maintain context across your codebase and provide live generative assistance. It offers generative autocomplete, live previews of code changes, automatic linter fixes, deep code search via the Model Context Protocol, and a Supercomplete feature that suggests your next action. Windsurf also includes natural-language commands to implement features, run... - Source: dev.to / 7 months ago
If you're using an IDE like Cursor or Windsurf, you can add a rule to use the DETAILS.md file as the context for the agent. - Source: dev.to / 12 months ago
AI is replacing traditional platforms like Stack Overflow, Reddit, and Google Search for developers โ tools like GitHub Copilot, Cursor.ai, and Windsurf are seen as faster, more tailored, and more efficient. - Source: dev.to / about 1 year ago
The Cursor IDE installed on your local machine. Although this tutorial is Cursor-focused, our MCP server also works with any AI client that supports MCP, such as Windsurf or even Raycast. - Source: dev.to / about 1 year ago
Cloudify looks interesting if you can stand the price, depends how badly you need the features it offers. Source: about 4 years ago
Cloudify is a platform that automates and manages entire lifecycles of an application or network service. Source: over 4 years ago
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโno more context switching, just breakthrough results.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.