🤖 Generative Programmer | Issue #9
AI-Assisted Development, Prompting & Autonomous Agents
📣 Welcome back to Generative Programmer!
This week: MCP everywhere; a dark predictions about coders, and the back-clash! Bookmark GenerativeProgrammer.com and share this issue: 🐦 Twitter, 💼 LinkedIn, 🦋BlueSky, ✉️ Email Let's dive in!
🚀 This Week's Top AI Picks For Devs
1️⃣ Anthropic CEO: 90% of Code written by AI Within 6 Months 🔮
2️⃣ Simon Wardley: Nop 👎🏻
3️⃣ Model Context Protocol is the USB-C for AI Integration 🔌
4️⃣ Vibe Coding: Promise or Peril for Developers? ⚠️
5️⃣ Talk to Your Diagrams withAmazon Q Developer CLI 💻
6️⃣ The Hidden Barriers to AI Adoption in Organizations 🚧
7️⃣ New Tools: Goose, Trae, OpenManus, AgentNetworkProtocol🛠️
…and 25 more updates to explore! 👇
🎯 Featured Article
🔥 AI Coding Might Just Make Engineering Jobs Harder
Everyone thought AI coding tools would make software engineering easier. Instead, they’ve introduced a new paradox: non-engineers hit a wall at 70% completion, while experienced developers spend more time fixing AI-generated mistakes. Is AI really a coding revolution, or just a productivity illusion?
In this article
& reveal hard truths about AI's impact on software engineering. As LLMs evolve, understanding their efficiency versus limitations is crucial for developers navigating this changing landscape.🗞️ 📰 Long-Form Reads
Harnessing LLMs for Code Writing -
shares insights on using LLMs for coding, emphasizing understanding and practice over faith in the technology. 💡
Model Context Protocol (MCP) - Explains MCP as a USB-C port for AI—a universal way to connect AI agents with tools and data sources, making integrations simpler and more scalable than traditional APIs. 🔌
🤔 Thoughts on MCP - MCP introduces complexity and opinionated structures that might limit flexibility. Questions whether a more web-like alternative could be better.
Talk to Your Diagrams with Amazon Q Developer CLI - Showcases Amazon Q Developer CLI capabilities for interacting with architecture diagrams using natural language to generate, modify, and deploy applications. 📊
Vibe Coding Is NOT My Future - Andrej Karpathy explores the pitfalls of "vibe coding," where developers risk losing control by relying too heavily on LLMs for generating applications. ⚠️
Maximizing the Human 30% in AI Coding -
explores leveraging AI for 70% of coding tasks while highlighting irreplaceable skills for the remaining 30% that ensure production-ready systems. 🧠The Hidden Barriers to AI Adoption -
reveals the contrast between AI aspirations and implementation, showing how human factors often hinder effective adoption despite technological readiness. 🚧🗞️ News and Updates
🔮 Dario Amodei on AI's Coding Future - Anthropic CEO predicts AI could generate 90% of programming code within 3-6 months, reshaping software engineering.
But Simon Wardley challenged Dario Amodei's prediction that AI will soon write all code, drawing parallels to past claims about the cloud eliminating system administrators, which led to rehiring them as DevOps engineers.
Simon suggests that while AI adoption will accelerate, it won't replace developers; instead, new practices like conversational programming will emerge, and the demand for skilled engineers will persist.
📊 Everyone is talking about MCP - Adam Silverman summarizes MCP launches from Composio, Firecrawl, Cursor, Jira, Langchain, Firebase, and more.
MCP vs. API - HackerNews debate highlights MCP's stateful nature akin to FTP rather than HTTP. 🔄
🎨MCP explained visually - A picture worth 1000 words.
🚀AI Native Dev - New hub for developers building AI-powered applications by Tessl.io
🎙️ YouTube & Podcasts
Vibe Coding Tutorial and Best Practices (Cursor / Windsurf) - Matthew Berman shares his coding stack and best practices for vibe coding developers. 🧩
Building Agents with Model Context Protocol - Mahesh Murag of Anthropic - Deep dive Q&A with MCP creators exploring how the protocol can unify AI systems and data sources.
🛠️ Tech & Tools Worth Exploring
OpenAI's Agents SDK Launch - Charles Packer explores OpenAI's new open-source Agents SDK for streamlining AI agent development. 📦
OpenManus - The open source version of Manus for unleashing AI potential. 🔓
MCP Server for Kubernetes Management - Simple MCP Server for managing Kubernetes. Verify your pods with just a few words! 🐳
Goose: Your AI Development Partner - Open-source AI agent automating complex engineering tasks from building to debugging, integrating with any LLM. 🤖
AgentNetworkProtocol - Open-source protocol poised to become the HTTP of the Agentic Web era. 🌐
Open-Source MCP Servers - Production-ready MCP servers extending AI capabilities through file access, database connections, and API integrations. 🔌
Awesome AI Agents - Curated collection of 300+ resources on agentic AI compiled by Slava Kurilyak. 📚
Trae: Ship Faster - Adaptive AI IDE that transforms development workflow and collaboration
🎭 AI Humor
By
on linkedin.👋 See You Next Week
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