The Engineering Notebook — page 35 of 35
Notes on building with AI, agents & the modern stack.
Deep dives on AI/ML, RAG systems, agent engineering, and senior-engineer architecture decisions — a new post every week.
AI and Machine Learning AI Slopageddon: How AI-Generated Code Is Destroying Open Source
Open-source maintainers are shutting down contributions as AI-generated submissions flood projects with low-quality code. From cURL's killed bug bounty to GitHub's proposed kill switch, the crisis is real.
AI and Machine Learning Multi-Agent AI Systems: Moving From Demos to Production
2026 is the year multi-agent AI systems move into production. Here is what it takes to build, orchestrate, and scale agent systems beyond the demo stage.
AI and Machine Learning MCP: The USB-C of AI — How Model Context Protocol Is Connecting Everything
From a quiet Anthropic open-source release to 100 million downloads per month, MCP is becoming the universal standard for connecting AI agents to tools and data.
Technology Agentic AI in Software Engineering [2026]
SWE-bench scores jumped from 14% to 65% in 16 months. Here's what agentic AI actually delivers in production, where it fails, and the new skills engineers need to thrive as agent orchestrators.