🤖 Prompt Patterns | Issue #4
Weekly AI news and insights for pragmatic developers
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🤖 This Week in Prompt Patterns
15 Good Use Cases for AI and 5 to Avoid 👍👎
20 AI Coding Assistants Landscape 👨💻
24 AI Tools Ranked for 2025 🏆
Towards Outcome-Based AI Pricing 📈
Is Devin worth 500$/month? 💸
Check out all 29 AI updates for devs here 👇
🎯 Featured Article
15 Use Cases for AI (and 5 to Avoid) by
For technical leaders drowning in AI hype, this guide offers a refreshingly practical perspective. Instead of vague promises, it dives into concrete examples of where AI genuinely improves developer productivity and where it adds unnecessary complexity.
📰 Long-Form Reads
Prompt Engineering Toolkit from Uber - A practical guide introducing Uber's internal toolkit for standardizing prompt engineering across teams. Particularly valuable for organizations looking to implement systematic prompt development practices at scale.
Devin Review: Worth the $2B Valuation? - Builder.io's CEO provides a hands-on assessment of Devin AI - the coding agent that's making waves with its $500/month price tag. The article cuts through marketing claims to compare Devin against Cursor.
20 AI Coding Assistants Landscape - A list of 20 most popular developer-focused AI tools, and landscape map (written by me :)
24 AI Tools Ranked for 2025 by
- An honest review of which AI tools focusing on practical impact rather than hype.AI is the New Plastic: Notion's Perspective - Thought-provoking analysis comparing AI's transformative impact to plastic's historical influence.
AI-Driven Product Prototyping - A breakdown of how product managers can leverage AI tools in the prototyping phase, with concrete examples and implementation patterns.
Building Multimodal RAG Systems (part 5) - Deep technical dive into advanced RAG implementations, covering CLIP embeddings, multimodal prompting, and tool calling architectures. Includes practical code examples and performance considerations.
AI Code Assistant Capabilities Guide - Gartner's analysis of critical features in AI coding tools, providing a framework for evaluating and selecting appropriate tools for your development workflow.
🎧️ YouTube & Podcasts
Inside Look into Devin AI (now GA) - Critical analysis of Devin AI - the automated software engineer that's generating buzz.
Generative AI Strategy with Chip Huyen - Practical insights on implementing GenAI in production, with concrete examples of what works and what doesn't. Check out the accompanying presentation slides.
Cursor AI Tutorial for Beginners - Hands-on guide showing how to effectively use Cursor's AI features in your daily development workflow. Perfect for developers looking to start with Cursor.
Future of Programming with Cursor Team - Deep dive with Lex Fridman into Cursor's development journey, architecture decisions, and vision for AI-augmented development. Must watch for understanding where coding tools are headed.
Product Management Is Dead? - ChatPRD creator
examines how AI is transforming product management and what skills will matter in the AI era.Building Apps with AI - Replit CEO demonstrates (again) rapid application development using only AI tools.
AI's Impact on Web Development - Vercel's CEO Guillermo Rauch on how AI is reshaping frontend development and what this means for developers.
Compound Systems: The Future of AI - Stanford's analysis of why integrated AI systems (model + prompt), not just large models, will drive the next wave of innovation.
Introduction to Large Language Models - Andrej Karpathy's classic breakdown of LLM fundamentals. Must-watch for anyone working with AI tools.
Enterprise AI Considerations - Spring Source and Forrester examine practical challenges and solutions for implementing AI in enterprise environments.
💭 Social Snippets
AI Coding Agents Landscape Analysis -
breaks down the rapidly evolving landscape of AI coding agent and highlighting key players.The Rise of Outcome-Based AI Pricing - Thought-provoking post of how AI services are shifting towards performance-based pricing models.
Essential ML Engineering Reading List - Curated collection of 10 must-read resources for ML engineers, perfect for holiday learning.
Andrew Ng on AI Product Management - Key insights from Andrew Ng about evolving product management practices in the age of AI.
🗞️ News and Updates
Ollama 0.5 Release - Major update introducing structured outputs, making it easier to build reliable AI applications with local models.
🛠️ Tech & Tools
Lobe Chat - A chat framework supporting multiple AI providers (OpenAI, Claude 3, Gemini, Ollama), with built-in RAG, multi-modal capabilities, and one-click deployment (with local ollama running)
docker run -d -p 3210:3210 -e OLLAMA_HOST=127.0.0.1:11434 lobehub/lobe-chatScreenshot-to-Code - Converts any UI screenshot into clean code using HTML, Tailwind, React, or Vue.
Chroma DB - Open-source database built specifically for AI applications. Combines embeddings, vector search, document storage, and multi-modal capabilities in a single, developer-friendly package.
Awesome LLM Apps - Curated collection of production-grade LLM applications leveraging RAG with various providers.
Docling - IBM's document parsing tool that prepares documents for generative AI use.
📚 Learning Picks
Generative AI for Beginners by Microsoft - 21 Lessons teaching everything you need to know to start building Generative AI applications.
🎭 AI Humor
🍺 A ML Algorithm Walks into a Bar...
What Kind of AI Engineer Are You?
👋 See You Next Week
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