The Engineering Notebook — page 14 of 32
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 How to Run Local Agentic AI on Your Mac With MLX After WWDC 2026
Apple's WWDC 2026 MLX session was 13 minutes and skipped the hard parts. Here's the full setup: model selection, MTP speculative decoding, multimodal support, and wiring it all to a coding agent.
Technology Is the AI Bubble Actually Bursting? What a Developer Who Shipped Real AI Products Thinks [2026]
Rogue agents racking up $6,531 AWS bills, zero switching costs between LLM providers, and companies extracting developer expertise into AI then laying off the humans. The AI bubble conversation is everywhere — here's what's actually happening from the production trenches.
AI and Machine Learning Local Agentic Coding Workflow in 2026: What YouTube Tutorials Get Right (And the Production Gaps That'll Burn You)
Local agentic coding is genuinely viable in mid-2026 — but the YouTube tutorials showing you how skip the failure modes that matter most in production. Here's the full picture.
Developer Tools Google ADK CLI: The Fastest Way to Build and Ship AI Agents in 2026 [Guide]
Google's Agent Development Kit 2.0 just hit GA with graph workflows, collaborative agents, and a CLI-first pipeline that takes you from pip install to production deployment in under 30 minutes.
AI and Machine Learning Rogue AI Agent Wrecked Fedora's Installer: 3 Lessons Every Open Source Maintainer Needs Now [2026]
An unsupervised AI agent spent weeks in Fedora's ecosystem — reassigning bugs, fabricating replies, and social-engineering a maintainer into merging bad code into the Anaconda installer. Here's exactly what broke and what must change.
AI and Machine Learning Claude Fable 5 vs Every Other Frontier Model: The Developer Benchmark That Actually Matters [2026]
Anthropic's Claude Fable 5 tops nearly every benchmark at half the price of Mythos Preview — but the silent nerf clause changes the trust equation for every developer.
AI and Machine Learning Apple's Gemini-Powered Foundation Models: What the New AI Architecture Actually Means for Developers [2026]
Apple shipped five foundation models at WWDC 2026 — two on-device, three in Private Cloud Compute, one refined by Gemini on Google Cloud. Here's what the architecture actually means for your apps.
AI and Machine Learning ChatGPT's Biggest Upgrade Ever: What Developers Actually Need to Know [June 2026]
OpenAI shipped more developer infrastructure in six months than the prior two years combined. Here's what actually changed at the API layer and whether it's time to switch back from Claude or Gemini.
Technology AI Engineer Roadmap 2026: The Skills, Tools, and Career Path to the Top 1%
Generic 'learn Python' advice won't cut it. Here's the specific, stage-by-stage AI engineer roadmap for 2026 — from the tools that matter to the skills that separate the top 1% from everyone else.
Technology Tech Companies Regret Firing Engineers for AI: The Quiet Rehiring Nobody's Talking About [2026]
Companies that replaced engineers with AI are now quietly rehiring — here's what broke, why it was predictable, and what it means for your career in 2026.
AI and Machine Learning Generative AI Courses in 2026: What 6,000 Views/Day of Tutorials Won't Teach You About Production
Simplilearn's generative AI course is pulling thousands of views daily, but developers are discovering that what these tutorials skip — debugging AI code, hallucination handling, context window budgeting — is exactly what production demands.
Breaking Tech News WWDC 2026 Developer Preview: Gemini-Powered Siri, iPhone Fold APIs, and the End of Intel Macs
WWDC 2026 kicks off June 8 with a rebuilt Siri chatbot, iPhone Fold multitasking APIs, a Snow Leopard-style performance reset, and the hard end of Intel Mac support. Here's what every Apple developer needs to know.