Engineering at High-Velocity:

The world of software development is undergoing a significant change in a short period of time.
The paradigm has shifted from:

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• Code written by human keystrokes and scripts for framework scaffolding to code being collaboratively authored by Humans and their Generative AI Assistants
• Code only being processed by deterministic systems (compilers, interpreters, linters, security scanners) to now also being processed by Language Models that can understand source code

Augmentation, Not Automation

Leading organizations are not just enabling their teams with Copilot, they are aligning it with their engineering objectives. Whether your goal is to modernize legacy codebases, improve security, or reduce technical debt, Copilot can act as an amplifier for your engineering culture and business outcomes. Since the dawn of GitHub, developer experience has always been our north star and in the age of AI-powered development, it’s more important than ever. Developer experience leads to more productive and happier developers.

 

• Quantifiable productivity improvements for 92% of Windsurf users (Dell Technologies)
• Smarter debugging, with a 31% reduction in time to locate, understand, and mitigate errors in code bases (Top 10 US Bank)
• Faster PR Cycles without compromising code quality, with a 17% decrease in average PR cycle time (Fortune 50 Retail Company)
• On average, 40%+ of net new code being committed into the code base is written by Cascade, Windsurf’s agentic chat assistant
• Overall improvements in:
  • mean time to recovery for production incidents
  • releases per week
  • unit test coverage
  • developer job satisfaction
  • time to complete migrations

Under the Hood

We are continuously improving the Windsurf product to generate better quality AI suggestions, and this has proven integral to our successes. We have built a robust information system to augment frontier language models with an intuitive user experience to solve problems when working on enterprise-grade code bases. Some features of the engine underpinning Windsurf includes:

 

• Knowledge engines, which includes our native context-awareness system that automatically understands your enterprise-scale code bases
• Tool use, which includes editor integrations such as terminal integrations, search and analysis tools, and in-IDE browser previews of locally hosted applications
• Flow awareness, which keeps a ledger of human actions to maintain context and derive the user’s intent
• Customizations, which allow the user to control how the AI behaves and executes repeatable workflows

Eating Our Own Dogfood

Windsurf’s secret sauce for success is that we leverage our own product to develop our software. The velocity of innovation and output simply would not be possible using traditional software development practices. As of July 17, 2025, Windsurf has released 11 updates (called “Waves”) since launching the IDE that introduces sets of capabilities that the world has never seen before. With a goal of actively disrupting ourselves, we aim to improve our product so rapidly that over a 6 month period of time, previous versions of our product should look obsolete.

 

At the same time, increasing velocity without the proper systems and controls in the remainder of the SDLC is a recipe for disaster. Windsurf encourages our customers to invest in maturing their Software Development organization and SDLC processes to get
the full value out of Windsurf without introducing upstream or downstream bottlenecks.

Getting Started Today

When getting started with Windsurf, it is easy to realize immediate value because of Windsurf’s out-of-the-box capabilities and intuitive user experience. The Windsurf Editor is a fork of the popular VS Code IDE that brings a best-in-class collaborative AI
assistant to a familiar application surface. Additionally, we offer our agentic AI capabilities as a JetBrains Plugin, which lets users bring Cascade to their preferred language-specific editor, such as IntelliJ, PyCharm, and Rider.

 

Once you are ready to roll Windsurf out at scale, you should consider providing a structured education path for all user types. For your developer base, we recommend enablement on the entire feature set so they understand how to leverage Windsurf to its fullest capabilities.

 

When your organization is ready to adopt advanced features like Cascade Customizations (Rules and Workflows) or MCP tools and resources, you will want to solicit perspectives and domain expertise from across your organization. Adapting Windsurf to work with your specific development processes and layering in your organizational best practices makes the AI assistant even more helpful. These advanced features allow you to define how you want to embed quality standards early in your SDLC while streamlining productivity.

 

Ultimately, following a crawl, walk, run approach to adopting a technology like Windsurf is the best way to get the most value out of AI within your organization. If you would like help along this journey, either the Windsurf team or our strong network of partners can assist with this process.

The Road Ahead

Our vision for the future is that AI will accelerate the entire software development cycle by 99% and be used to solve even larger-scoped, longer-horizon tasks. To get to this future, enterprises must prioritize quality assurance as a key success factor, for which this book details approaches. Robust systems, processes, and mechanisms prevent unintended consequences in system stability, security, and user experience as AI helps software developers.

The world will become more enabled with AI-powered software development, and software development organizations can maximize quality through choosing the right tools, setting up the right processes, and empowering knowledge workers to use these systems to their full potential.

Published: 30 April 2026
Author: Brian Smitches,
                Global Partnerships
                at Windsurf

This blog is a partner contribution to the “Amplified Quality Engineering” publication.