Windsurf, an AI coding assistant, revolutionizes learning Kubernetes and OpenShift by enhancing understanding and efficiency. It accelerates troubleshooting, automates tasks and clarifies complex concepts, transforming daunting challenges into manageable opportunities. While AI aids learning, mastering fundamentals remains crucial for effective use and maximizing its potential.

Devin is an autonomous AI engineer who acts like a trusted kitchen manager, handling the backlog, repetitive prep work and tasks that slow teams down, so human developers can focus on the highest-value engineering "dishes." Instead of just making individuals faster, Devin adds true parallel capacity by taking on delegated work from end to end. It understands codebases, completes tasks independently, and returns finished outputs, such as pull requests. In short, Devin is a new kind of teammate who helps organizations move faster and clear the work they've never had time to tackle.

Legacy code modernization is now a strategic imperative, driven by technical debt and innovation demands. Devin, an autonomous AI, revolutionizes this process by compressing timelines, enhancing quality and freeing engineers for innovation. Enterprises must embrace AI-orchestrated modernization to stay competitive, transforming challenges into opportunities for growth and resilience.

In Part 2, we shift from strategy to execution. We open the hood on Devin, the autonomous AI software engineer, and walk through its enterprise-ready workflow—from high-fidelity codebase analysis to automated refactoring, test creation, documentation and CI/CD orchestration—revealing how each step improves modernization predictability, auditability and operational scale for large organizations.

Discover how Cognition's Devin and Windsurf redefine the software development lifecycle, balancing autonomous execution with human oversight to accelerate innovation, reduce risk and transform the enterprise workforce.

Artificial Intelligence (AI) code assistant tools have moved beyond experimental curiosity to become essential multipliers of engineering capability. WWT is developing the best practices and mindsets to define effective AI-assisted software development. AI tools shine at accelerating learning, compressing research time, generating robust implementations, and enabling engineers to work effectively in unfamiliar domains. However, the most successful implementations maintain human judgment as the guiding force, treating AI as a powerful tool that requires experienced oversight and direction. The organizations that learn to harness AI code assistants while maintaining quality and security standards will define the next era of software development excellence.

Our team has been using Windsurf as an AI-powered development environment for a few months now. Like any tool, there are areas where it shines. Here's an experience that demonstrates the tool at its best, turning a multi-day feature into a single day's work.

Vibe coding, powered by AI coding assistants, transforms software development by accelerating prototyping, democratizing access and fostering creative flow. This shift redefines who can build software and reshapes essential engineering skills and education for future technology leaders and teams.

Windsurf revolutionizes software development by drastically reducing development time. It can automate code reviews, enforce coding standards and offer potential enhancements to QA processes. However, human oversight remains crucial, blending AI efficiency with expert judgment for optimal results.

Guiding principles and best practices for evaluating and adopting coding assistance tools.

After a year with Codeium on my personal projects, I've seen the good, the bad and the unexpected. As a former pro software engineer who's no longer in the thick of it day-to-day, I'll share what works, what doesn't, and how AI coding assistance has helped me do more with less.