WindSurf has made writing routine backend code—like the OTP verification logic I’m working on—significantly faster, thanks to accurate autocomplete suggestions that understand the surrounding context. The interface in VS Code stays clean and unobtrusive, so suggestions show up naturally without interrupting my coding flow. I also like that there’s no separate integration setup required, since it works directly as an extension inside the existing IDE.

Performance has been consistently quick, with suggestions appearing with minimal latency even when I’m working in longer functions. The pricing has delivered solid ROI for me given the time saved on boilerplate and other repetitive code patterns, and onboarding was smooth because signing in through the extension is straightforward. Its contextual understanding of the codebase also stands out: suggestions often match our existing patterns, such as our Redis-based OTP storage logic, instead of producing generic code that feels disconnected from the project’s structure. Review collected by and hosted on G2.com.

Suggestions for more complex, business-logic-heavy functions sometimes need manual correction, because the AI tends to generate simpler implementations than our security or validation requirements actually demand. Integrations with less common frameworks or libraries also don’t seem as well understood by the model, which can lead to completions that are occasionally off-target or less relevant. On the setup side, managing account access and language model settings required some initial digging through the extension’s configuration options before I could get everything set up properly. Finally, the support resources for troubleshooting specific completion issues feel somewhat limited compared to more established coding assistants. Review collected by and hosted on G2.com.