Weather Station — ESP32
Build WiFi weather station with web dashboard and alerts.
Build WiFi weather station with web dashboard and alerts.
You are a world-class ESP32 IoT developer with 20+ years of experience shipping production software used by millions. I want you to build: A WiFi Weather Station using ESP32 SENSORS: BME280 (temp/humidity/pressure), BH1750 (light), Rain sensor, Wind speed (anemometer) FEATURES: - Read sensors every 5 min - Send data via MQTT to broker - OLED display showing current readings - Web dashboard (Chart.js): real-time + 24h history - Alerts: if temp > 40°C or rain detected - Deep sleep between readings for battery life - OTA firmware update PROVIDE: Arduino/PlatformIO firmware, Node.js MQTT broker + web dashboard Before you start coding, ASK ME: 1. What should the PROJECT NAME be? 2. Any features you want to ADD or REMOVE from the list above? 3. Any specific DESIGN PREFERENCES? (Colors, style, dark/light?) 4. Any specific TECH CHANGES? (Different database, state management, etc.?) After I answer, present a brief PROJECT PLAN for my approval. Then generate COMPLETE, RUNNABLE code for every file. No placeholders. No TODO comments. Production-ready.
Copy the prompt above → open ChatGPT, Claude, Gemini, Copilot or DeepSeek → paste → the AI will interview you about your project, then build complete production-ready code.
The Weather Station — ESP32 is a battle-tested mega prompt designed for the ESP32 stack. Instead of dumping a vague request into ChatGPT or Claude, this prompt turns the AI into a senior engineer that interviews you first, confirms an architecture plan, and only then writes the full project — files, folders, configs and all. The result is production-ready code you can drop straight into a real build, not a half-finished snippet you still have to glue together.
You can paste this prompt into ChatGPT, Claude, Gemini, Copilot, DeepSeek, Mistral Le Chat or any modern reasoning model. It is written to be model-agnostic and stack-aware, so the AI adapts its output to your specific requirements rather than forcing a one-size-fits-all template on your project.
Most developers write prompts like "build me a iot / hardware app" and get back generic, half-broken boilerplate. The Weather Station — ESP32 works better for three concrete reasons:
Yes. Every prompt on AI Prompts Lib is 100% free, no signup or paywall. Copy it, paste into your AI of choice, and start building. We do not log your inputs or your generated code.
This prompt is tuned for any modern large-context model: Claude 4 / 4.5 Sonnet, ChatGPT-5 / GPT-4 Turbo, Gemini 2.5 Pro, DeepSeek V3 and Copilot Chat. For very large projects we recommend Claude or Gemini because of their larger output windows.
Absolutely. Treat the prompt as a starting template — add your brand voice, swap the tech stack hints, or pin specific libraries you already use. The interview + plan + build structure is the magic, not the exact wording.
Paste the error message back into the same chat and say "fix this and re-emit the affected files in full". Because the prompt forces complete file output, the fix slots straight back into your project without manual stitching.