Cursor AI transforms our engineering workflow — custom Shopify apps, API integrations, and full-stack features that previously took weeks now ship in days. Same quality, tested, reviewed, production-ready. We pass that velocity advantage directly to D2C clients.
Cursor is an AI-first code editor built on VS Code that integrates large language models directly into the development workflow. Our engineers use Cursor's Composer feature for multi-file code generation, its codebase-context chat for understanding existing systems, and its review capabilities for catching bugs before staging. The result is an engineering workflow that produces the same quality code our senior developers always write — in substantially less time. Every AI-generated output is reviewed, tested, and validated by an experienced engineer before it touches your infrastructure.
The reliability depends on the engineer directing the AI, not on the AI alone. Cursor generates proposals; our engineers review, refine, and test every output before it reaches staging or production. We treat Cursor as a force multiplier for experienced developers — not a replacement for engineering judgment. Our quality gates remain unchanged: code review, automated testing, and staging validation are mandatory for every change. What changes is how quickly a senior engineer produces the first working draft of a feature.
For well-scoped tasks — building a Shopify app feature, writing an API integration from documented specs, generating components from a Figma file — we consistently see 3–5x speed improvement. For exploration tasks — understanding an unfamiliar codebase, debugging complex issues, writing comprehensive test suites — the improvement is closer to 2–3x. We don't overpromise specific timeline reductions because scoping accuracy matters more than tool selection, but Cursor reliably lets us deliver more value within the same engagement budget.
Yes — codebase modernisation is one of the highest-value Cursor AI applications. We ingest your existing codebase into Cursor's context, map business logic embedded in legacy code, generate documentation and system diagrams, then systematically refactor with AI assistance while maintaining test coverage. This is particularly valuable for Magento 1/2 migrations, legacy custom PHP ecommerce systems, and early-stage Shopify stores that have accumulated years of technical debt across dozens of contractors.
We maintain a D2C-specific Cursor rules library — system-level instructions that enforce our coding standards, Shopify API best practices, TypeScript strict mode requirements, accessibility standards, and security policies across every AI-generated suggestion. These rules are configured at project level, so every code suggestion Cursor makes is already aligned with your stack's conventions and our engineering standards before a human reviewer looks at the output.
Our Cursor AI-powered engineering team delivers production-quality Shopify and full-stack builds at a pace traditional agencies genuinely cannot match.