The Engineering Notebook — page 32 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 NVIDIA PersonaPlex: The Voice AI That Listens and Speaks at the Same Time
NVIDIA PersonaPlex achieves 18x lower latency than Gemini Live with true full-duplex audio. A developer's deep-dive: how the architecture works, the real cost vs. Vapi/ElevenLabs/Bland.ai, honest benchmark analysis, and when you should — and should not — use it.
Technology 7 Types of AI Agents [2026]: A Developer Taxonomy
A practical, developer-first guide to the 7 types of AI agents, how they map to modern LLM patterns (ReAct, MCP, multi-agent), and when a workflow beats an agent.
Technology Prompt Injection in 2026: Still OWASP's Number One LLM Vulnerability
Prompt injection has held the #1 spot on OWASP's LLM Top 10 across every edition. Here's why it's unsolvable, how agentic AI made it worse, and what developers actually need to do about it.
Technology Local LLM Hardware Guide 2026: VRAM, GPUs, and Setup [Tested]
Every VRAM tier, GPU option, and runtime tool mapped out for running local LLMs in 2026 — from budget CPU-only rigs to RTX 5090 and Apple Silicon M5 workstations.
AI and Machine Learning AI Writes the Code Now. What Is Left for Software Engineers?
With 51,000+ tech layoffs in 2026 and AI writing production code, the future of software engineering is being redefined. Here is what actually matters now.
AI and Machine Learning I Audited Vibe-Coded Applications: Here Are the Security Nightmares I Found
Vibe coding — accepting AI-generated code without review — has a 24.7% security flaw rate and 2.74x more vulnerabilities. Here is what I found when I looked under the hood.
AI and Machine Learning The Productivity Panic: Why AI Coding Tools Are Burning Out Developers
Bloomberg, Harvard Business Review, and UC Berkeley all agree: AI coding tools are making developers more stressed, not less. The expectations tripled, but real productivity barely moved.
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.