
Create a Data-Driven AI Adoption Playbook Using Cursor
Use Cursor's AI to analyze your engineering team's usage data from a CSV. Automatically create user cohorts and generate a gamified playbook to help everyone become an AI power user.
Step-by-step Cursor workflows from How I AI expert interviews. Each guide includes prompts, code snippets, and practical tips.

Use Cursor's AI to analyze your engineering team's usage data from a CSV. Automatically create user cohorts and generate a gamified playbook to help everyone become an AI power user.

Supercharge your engineering velocity by using Claude Opus 4.6 to rapidly build features and then leveraging GPT-5.3 Codex to perform a rigorous, principal-level code review for production hardening.

Learn Gumroad CEO Sahil Lavingia's process for rapidly prototyping a UI with v0, then using the AI agent Devin to autonomously code, implement, and submit the feature for review, turning a multi-day task into a one-hour workflow.

Learn to build a complex 3D multiplayer game, even with no prior game development experience. This workflow guides you through an iterative process of using an AI assistant like Cursor and Claude as a junior developer to go from a simple concept to a functional prototype.

Learn how to configure MCPs in Cursor to control external tools like a headless browser or a database directly from your IDE using natural language commands, effectively reducing context switching and manual work.

Learn how a non-engineer built a custom, high-quality website translation service using an AI-native code editor and GitHub Actions. This workflow replaces expensive localization software and agencies, saving over $140,000 annually while improving translation quality and speed.

Use AI to analyze test logs, identify and prioritize technical debt, and generate a task list for AI agents like Cursor or Devin to systematically fix issues. This creates a repeatable process for improving codebase health.

Unify scattered documentation into a single repository directory. This creates a single source of truth, improving consistency and efficiency for both human engineers and AI agents.

Implement a disciplined, three-phase AI development cycle using Cursor and Xcode to build complex applications. This workflow uses custom rules for creating requirements, reviewing plans, and executing code in small, manageable steps to ensure high quality and maintainability.

Set up a coding environment with 'guardrails' like TypeScript and linters, then use a simple prompt in Cursor to let its AI agent automatically find, analyze, and fix code errors. This workflow streamlines debugging and improves code quality.

Learn the author's preferred method for building a powerful 'meta-skill' inside the Cursor editor. This workflow uses Anthropic's official documentation to create a reusable agent that can quickly generate new, well-structured Claude Skills on demand.

Learn to go from an empty folder to a functional Next.js web application. This beginner-friendly guide uses Cursor's AI Agent to scaffold, run, and set up version control for your first project hub.
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