Browse 20 articles on AI engineering, machine learning, LLMs, MLOps, and modern software development. Written by Misha Lubich, AI Engineer & Technical Leader with experience at Apple, GitHub, and cutting-edge AI startups.
Andrej Karpathy coined 'vibe coding' and Twitter loved it. But building production systems by vibes is how you get production incidents by vibes.
Category: Hot Takes | Reading time: 2 min | Tags: Vibe Coding, AI Coding, Best Practices, Hot Takes, Karpathy
By Misha Lubich
Hot takes declared RAG dead. Long-context models were supposed to replace it. But in early 2026, Cursor is shipping RAG pipelines, engineers are still optimizing chunking, and retrieval is evolving — not dying. Here's what's actually happening.
Category: AI Architecture | Reading time: 4 min | Tags: RAG, Long Context, LLM, Architecture
By Misha Lubich
After 6 months of using Cursor as my primary IDE, my velocity has tripled. Here's my setup, workflows, and the features that make traditional editors feel broken.
Category: AI Products | Reading time: 2 min | Tags: Cursor, AI Coding, Developer Tools, IDE, Productivity
By Misha Lubich
LangChain was the jQuery of AI — necessary for a moment, then a liability. Modern AI engineering demands less abstraction, not more.
Category: AI Architecture | Reading time: 5 min | Tags: LangChain, Frameworks, Simplicity, Architecture
By Misha Lubich
OpenAI's o3 and DeepSeek's R1 proved that chain-of-thought at inference time is the next frontier. Here's what this means for how we build AI systems.
Category: AI Architecture | Reading time: 2 min | Tags: o3, DeepSeek, Reasoning, Chain of Thought, Architecture
By Misha Lubich
CrewAI, AutoGen, and LangGraph promise autonomous agent teams. I deployed all three to production. Here's the unvarnished truth about what works and what's pure marketing.
Category: AI Architecture | Reading time: 2 min | Tags: CrewAI, Multi-Agent, AutoGen, LangGraph, Production
By Misha Lubich
We're building the last generation of hand-written CRUD apps. AI agents will replace 80% of backend code within 3 years. Plan accordingly.
Category: AI Architecture | Reading time: 5 min | Tags: AI Agents, Architecture, Future, Software Engineering
By Misha Lubich
I've tried every AI coding CLI — Aider, Mentat, GPT-Engineer. Claude Code is the first one I trust to make changes across a real codebase without supervision.
Category: AI Products | Reading time: 2 min | Tags: Claude Code, Anthropic, Terminal, AI Coding, Developer Tools
By Misha Lubich
The industry created a fake job title to make 'writing instructions for a chatbot' sound like a technical discipline. Let's stop pretending.
Category: Hot Takes | Reading time: 1 min | Tags: Prompt Engineering, Career, Hot Takes, Industry
By Misha Lubich
The entry-level programming job as we know it is disappearing. This is the most important conversation our industry refuses to have.
Category: Engineering Culture | Reading time: 6 min | Tags: AI Coding, Junior Developers, Career, Future of Work
By Misha Lubich
We switched from GPT-4o to fine-tuned Llama and cut our costs by 94%. Our quality scores went up. Here's the playbook.
Category: Open Source | Reading time: 2 min | Tags: Open Source, Llama, Cost Optimization, Self-Hosting
By Misha Lubich
Companies are spending millions on AI teams that produce impressive demos and zero production value. I've seen it from the inside.
Category: Engineering Culture | Reading time: 6 min | Tags: Hiring, AI Teams, Management, Productivity
By Misha Lubich
We've gotten incredibly good at building AI systems. We're still terrible at knowing whether they actually work. Evals are the bottleneck nobody's fixing.
Category: MLOps | Reading time: 2 min | Tags: Evaluation, Testing, Quality, MLOps, Best Practices
By Misha Lubich
That fancy Kubeflow/Airflow/Prefect ML pipeline you built? It's the most expensive, fragile, and unnecessary code in your entire stack.
Category: MLOps | Reading time: 2 min | Tags: MLOps, Technical Debt, Pipelines, Infrastructure
By Misha Lubich
Anthropic's Model Context Protocol is the USB-C of AI tooling. Once adoption hits critical mass, every custom integration layer becomes unnecessary.
Category: AI Architecture | Reading time: 2 min | Tags: MCP, Protocols, Anthropic, Standards
By Misha Lubich
The industry cargo-culted microservice architecture into ML platforms and created distributed systems nightmares. Monoliths are the answer.
Category: MLOps | Reading time: 2 min | Tags: Microservices, Architecture, ML Systems, Infrastructure
By Misha Lubich
Most AI safety work is performative theater designed to look responsible while not actually slowing anything down. Let's have an honest conversation.
Category: Hot Takes | Reading time: 2 min | Tags: AI Safety, Ethics, Industry, Regulation
By Misha Lubich
90% of 'AI-powered' startups are solutions searching for problems. The graveyard of AI products is full of technically brilliant ideas that nobody needed.
Category: AI Products | Reading time: 2 min | Tags: Product, Startups, Strategy, Market Fit
By Misha Lubich
Every company will need fine-tuned models within 18 months. The problem is that 95% of fine-tuning efforts fail because teams treat it like training from scratch.
Category: AI Architecture | Reading time: 2 min | Tags: Fine-Tuning, LLM, Training, Best Practices
By Misha Lubich
Teams waiting for the next model release to fix their broken AI products are deluding themselves. Your architecture is the bottleneck, not the model.
Category: AI Architecture | Reading time: 2 min | Tags: Architecture, LLM, System Design, Best Practices
By Misha Lubich