Turbocharge Your AI Coding with Cursor + TaskMaster Rules—5‑Minute Easy Setup!

Show Notes

Parker walks through turbocharging AI-assisted coding with Cursor rules and Taskmaster, then demonstratesBuilding a reusable data-fetching rule around a Supabase singleton, plus a global logger to improve reliability across server and client code.

Why Cursor rules matter

• Cursor rules define how the code-behind agent behaves for a given request, turning wild patterns into repeatable, reliable patterns.
• Start with official Cursor rules (e.g., Superbase official rules) for best practices and to align with the project’s tooling.
• Benefits: consistency, easier maintenance, better guidance for both humans and LLMs during debugging.

Getting official Cursor rules up and running

• Use the Superbase official Cursor rules package. Command and setup:
  • Install via a shell command (Cursor rules from Superbase).
  • Put rules into a cursor directory in your project with a clear folder structure.
• Structure you’ll typically see:
  • DB functions, migrations, RLS policies, SQL style guide, edge functions
• Practical note: official rules are kept up to date; follow relevant creators on Twitter for updates.

Designing your own rules in a monorepo

• Organize for scale:
  • Monorepo with nested apps (Next.js, React Router apps, Vite apps, etc.)
  • Separate Superbase-related code into its own package
  • Edge functions (Dino), migrations, queries, and mutations are neatly bucketed
• Data fetching patterns
  • Start with queries (read) and then add mutations (writes) as needed
  • Name endpoints and rules using kebab-case (lowercase with hyphens)
• Singleton pattern for the database client
  • Create a single place that wires Superbase (server component -> client component)
  • If the request is successful in one place, all dependent calls go through that same singleton
• Example structure (conceptual)
  • apps/
    • edX/
    • marketing/
  • packages/
    • supabase/
    • utils/
      • logger.ts
  • bore into:
    • edge/
    • migrations/
    • queries/
    • mutations/

Global logger to standardize debugging

• Create a global logger.ts with levels: debug, info, warning, error
• Drive the log level from an environment variable
• Benefits:
  • Consistent logging across server/client code
  • Helpful for manual debugging and for guiding LLM reasoning
• Integrate into access points (e.g., get_prompts.ts) so every data fetch and prompt path is observable

Building a data-fetching rule (data-fetching.mdc)

• Goal: standardize how data is fetched, both server-side and client-side
• Key components of the MDC rule you’ll implement:
  • Fence and description at the top
  • Globs to indicate which files/folders the rule applies to
  • Always apply flag (conditional vs. always) to control scope
  • Server-side examples (server components, server-side fetching)
  • Client-side examples (TSX usage, hooks or components that fetch data)
  • Include a singleton import path for the Supabase client
  • Include both server and client fetch patterns:
    • Server: use a server component or server-side helper via the singleton
    • Client: fetch via the appropriate client route or hook, still routed through the singleton
  • Ensure type safety with the Supabase client types so TypeScript provides autocomplete and correctness
  • Include the logger usage to surface lifecycle events (fetch start, fetch end, errors)
• Naming and organization tips:
  • Descriptive prefixes (e.g., get_prompt, fetch_user, create_prompt)
  • Use kebab-case naming for actions and endpoints
• Example updates you’ll likely add:
  • Server-side query path
  • Client-side fetch path
  • Updated or additional import paths for the fetching helper
• Validation steps:
  • Review the MDC output, ensure it mentions logger usage and singleton
  • Confirm the generated rule covers both server and client scenarios
  • Test by applying the rule to a real fetch path and verify the code adheres to the rule

Formatting and rule craftsmanship

• Use a well-formed MDC template:
  • Start with a clear fence and description
  • Put globs to target code sections
  • specify always apply vs conditional
• Align with existing conventions:
  • Naming conventions, path structure, and client/server separation
  • Keep formatting clean to avoid lint/TS errors
• Dealing with tooling hiccups:
  • If an editor/formatter or AI tool acts up, reload the window in your editor
  • Don’t force edits that break the rule structure; preserve the template and refine incrementally
• Small, testable increments:
  • Start with a small, useful rule (data fetching)
  • Expand to client-specific examples or additional patterns if needed

Practical tips and caveats

• Expect occasional glitches when auto-formatting or generating code with AI; verify and adjust
• Biome ignore rules and strict linting help keep quality high, but use judiciously
• When adding new rules, document how to use them and how to opt-out if needed

How to use and share these rules

• The rules and templates are hosted in the featured educational project (example: I Vibe with AI)
• To get updates:
  • Leave a comment requesting the rules
  • You’ll get access to freebies/templates and updates to prompts and templates
• Optional extras:
  • Email opt-in for updates on freebies and paid/free templates
  • Daily channel for deeper dives into strategy and profitability
• Quick action items:
  • Implement official Superbase Cursor rules as a base
  • Build a data-fetching MDC for server and client
  • Add a global logger and a Supabase singleton
  • Apply the rule to your codebase and iterate based on results

Takeaways

• Cursor rules let you convert ad-hoc patterns into repeatable, engine-friendly behavior
• A singleton Supabase client plus a global logger creates a reliable foundation for both server and client code
• A focused data-fetching MDC rule can dramatically improve reliability and maintainability
• Start with one rule, test thoroughly, and expand as your project grows

Links

• Cursor rules resources and examples
• Supabase official cursor rules
• Task Master overview and related videos
• Turborepo monorepo structuring concepts
• Deno (edge functions) for server-side logic
• Biome or markdown preview tooling (for editing MDC files)
• I Vibe With AI (educational community context)
• Parker Rex Daily Channel (for deeper strategy content)