Frontend engineering has reached a new level of complexity. Modern teams juggle React/Next.js frameworks, sprawling monorepos, performance constraints, and security challenges—often while balancing uneven skill sets across full-stack engineers. For years, our workflows have been largely unchanged: design handoff → manual scaffolding → iterative refactor → production hardening. But with the rise of AI-powered tools, that model is rapidly evolving.

In this talk, we’ll explore how AI is not just writing code, but fundamentally refactoring the frontend workflow itself. Through real examples, we’ll break down the roles of three leading tools:
GitHub Copilot as a micro-productivity booster for inline code, boilerplate reduction, and bug fixes.

Cursor as a codebase-aware IDE for large-scale refactors, framework migrations, and architecture-level transformations.
v0.dev as a design-to-code accelerator, generating production-ready React/Tailwind/shadcn components directly from natural language prompts.

You’ll see how these tools reshape pipelines-from turning requirements into prototypes in minutes, to evolving those prototypes into hardened production code with AI-assisted refactoring, to enabling cross-discipline engineers (backend, design) to meaningfully contribute to frontend systems.

We’ll also cover the pitfalls: hallucinated APIs, style drift, security blind spots, and the risk of over-reliance. Most importantly, you’ll walk away with best practices: how to set up guardrails (linting, CI/CD, Cursor rules), how to craft effective prompts for consistent results, and how to introduce AI safely into your team’s workflow without sacrificing quality or ownership.

By the end, you’ll have a clear vision of how to evolve your frontend development process into an AI-augmented pipeline-one where engineers focus less on scaffolding and syntax, and more on solving higher-order challenges of performance, reliability, and user experience.