Prompt Engineering For Software Engineers - Copilot Prompt Engineering: 3 UI Frameworks, 2 AI Agents, 1 Coding Assistant (AIDER CCC)

Code like you're in the future. This is the best way to progress your engineering abilities at a rapid pace. In groundbreaking video, we delve into pair programming assistant AIDER, an AI-driven coding assistant that, with a new technique, can transform the way we approach software development. I've been using this technique and AIDER to write code and ship features faster than ever before. Thanks to the latest GPT-4 Turbo model, AIDER is reshaping our programming capabilities. Our focus? Building vital front-end components for a Postgres data analytics tool. But here's the catch – we're not just coding; we're prompting code into existence using a technique I've honed called TRIPLE C (CCC). This intuitive, in editor, in terminal approach leverages the power of LLMs and prompt engineering, allowing us to generate complex code through natural language. We'll see firsthand how AI co-pilots, powered by the latest GPT-4 model, have become incredibly efficient and accurate. To showcase this, we're building the UI in three different frameworks – one of which I've never used before. This isn't just about coding; it's about AI Engineering our way to a minimal viable product for a data analytics frontend. Through 'Comment Copilot Coding', you write the comments, and AIDER fills in the code. It's a perfect blend of simple in editor, in context natual language prompting and AI efficiency. This video isn't just a tutorial; it's a glimpse into the future of software development, where natural language becomes the ultimate programming language. We'll open multiple terminals, run AIDER simultaneously, and utilize our multi-agent Postgres data analytics tool behind a simple python flask API to generate SQL and SQL results directly from our new UIs. Dive into the realm of multi-agent coding, demonstrating that with tools like AIDER and the expansive capabilities of GPT-4 Turbo, the real question shifts from: "what can I build?" to "How quickly can I build". Let's push the boundaries of AI in software engineering as we take one more step toward agentic engineering. Aider Prompt: "Read the comments and wherever you see 'code:' generate the request. Keep all code generation in the component." 👍 THE CODEBASE https://github.com/disler/multi-agent-postgres-data-analytics/tree/v8-ccc-ai-engineering-with-aider 🔥 TALK TO YOUR DATABASE https://talktoyourdatabase.com 🤖💻 AI Engineering Resources Aider: https://aider.chat/ Vite: https://vitejs.dev/guide/#scaffolding-your-first-vite-project Bun: https://bun.sh/ Flask: https://flask.palletsprojects.com/en/3.0.x/ Vercel Flask: https://vercel.com/new/templates/python/flask-hello-world (1) Watch Part One https://youtu.be/jmDMusirPKA (2) Watch Part Two https://youtu.be/JjVvYDPVrAQ (3) Watch Part Three https://youtu.be/4o8tymMQ5GM (4) Watch Part Four https://youtu.be/CKo-czvxFkY (5) Watch Part Five https://youtu.be/UA6IVMDPuC8 (6) Watch Part Six https://youtu.be/XGCWyfA3rgQ (7) Watch Part Seven https://youtu.be/KwcrjP3vuy0 📘 Chapters 00:00 We're not typing this code 00:57 Vite, Bun, Aider 01:27 CCC 03:02 All Roads Lead To AIDER 04:27 Vue, Svelte, React 05:15 I've never used Svelte 06:07 It's not perfect but it's fast and close 06:31 Integrate our Postgres Data Analytics Tool 07:57 Hit the API without coding 10:20 GPT-4 Turbo, AIDER, Multi-Agent Results (LETS GO) 12:42 Kind of annoying but easily fixable 13:23 Svelte Reactivity Issue - One Prompt Fix 14:33 React Issue - Quick Fix - Sweet Results 16:17 Let's push this further - Local Storage Prompt 17:37 Vue, Svete, React - Local Storage Prompt 19:28 Use CCC to build applications faster 19:57 Add this to your toolbox 20:30 What's next? 21:01 Bro what about low code and no code? 21:56 TTYDB - Talk To Your Database - From Scratch 22:27 LLMs are changing the way we code 22:41 Stay on the edge of AI Engineering 🐛 tags #promptengineering #aider #copilot