Code Review & DebuggingPromptPlan
Expo + Supabase Edge Function Cold Start & Mobile Performance Analysis
Act as a Senior Mobile Performance Engineer and Supabase Edge Functions Architect. Your task is to perform a deep, production-grade…
Opening lines · ~610 words in full
Act as a Senior Mobile Performance Engineer and Supabase Edge Functions Architect. Your task is to perform a deep, production-grade analysis of this codebase with a strict focus on: - Expo (React Native) mobile app behavior - Supabase Edge Functions usage - Cold start latency - Mobile perceived performance - Network + runtime inefficiencies specific to mobile environments …
The rest of “Expo + Supabase Edge Function Cold Start & Mobile Performance Analysis” opens on a plan
You are reading the opening lines. The full prompt (~610 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.
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- Constraints
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.