AI engineering notes

A comprehensive review of the rapid advancements in AI during the first quarter of 2026, marking the definitive shift from generative chat to autonomous agency.

Explore the intersection of AI infrastructure and energy systems as 'AI Factories' become the primary drivers of global inference and energy demand in 2026.

Discover why the strategy of using a single 'best' LLM is being replaced by multi-model orchestration, where specialized models are routed based on task requ...

Explore the impact of NVIDIA's Vera Rubin GPU platform and the H300 series on the training and inference of next-generation trillion-parameter AI models.

Explore the evolution of Retrieval-Augmented Generation (RAG) into 'Context Engineering,' where intelligent routing and structured data management redefine A...

Discover how Agentic AI and autonomous workflows are transforming enterprises from reactive generators to proactive problem solvers in 2026.

Discover why Evaluation-Driven Development (EDD) has replaced traditional unit testing as the definitive framework for building reliable AI agents and LLM pi...

As autonomous agents become the primary users of enterprise software, 'Agentic Security' is emerging as a critical priority for IT and security teams in 2026.

Explore the groundbreaking 'Native Computer-Use' capability of GPT-5.4, allowing AI agents to interact directly with GUI-based software and terminal environm...

Discover the power of OpenClaw, the open-source platform for building and running local, privacy-first AI assistants that autonomously interact with your sys...

Explore the emergence of Agent2Agent communication and how the Model Context Protocol (MCP) is becoming the standard for interoperability in the AI agent eco...

Discover how OpenAI's GPT-5.4 mini and nano are revolutionizing multi-agent systems with high-speed, cost-effective reasoning for specialized sub-agents.

OpenAI's GPT-5.4 release in March 2026 marks the first native computer use model, transforming AI from a text generator into a reliable autonomous operator.

Comprehensive comparison of the best open-source LLMs in 2026 — Mistral, LLaMA 3.1, Qwen 2.5, and Gemma 2. Benchmarks, use cases, and how to choose.

How to build a second brain powered by AI — connecting Obsidian, Notion, or markdown files to an LLM for semantic search, insights, and intelligent Q&A over ...

Learn how to manage LLM token costs at scale — model routing, prompt caching, semantic caching, batching, and practical strategies to cut AI API bills by 60-...

Step-by-step tutorial to build a GitHub bot that automatically reviews PRs using LLMs — detecting bugs, style issues, and security concerns with real code an...

A practical guide to building multimodal AI applications — vision, speech, and audio with GPT-4o, Claude Vision, and Whisper. Real examples and production pa...

OpenAI's GPT-5.4 release in March 2026 marks the first native computer use model, transforming AI from a text generator into a reliable autonomous operator.

End-to-end guide to containerizing and deploying LLM applications — Dockerfile optimization, environment management, health checks, and scaling strategies fo...

Evidence-based strategies to reduce LLM hallucinations in production — from prompt engineering and RAG to consistency checks and factuality guardrails with c...

A practical LangGraph StateGraph tutorial for building stateful AI agents with conditional routing, human-in-the-loop controls, and error recovery in Python.

Real AI engineering interview questions from top tech companies — covering system design, ML fundamentals, coding, and how to stand out when everyone claims ...

What Anthropic's Model Context Protocol means for AI engineering — how MCP standardizes tool integrations, why it matters, and how to build your first MCP se...

A clear transformer architecture overview for engineers: self-attention, positional encoding, encoder-decoder layers, and why transformers power modern AI.

A detailed walkthrough of building a production-ready AI assistant with FastAPI, LangChain, Postgres, and streaming — from zero to deployed in a weekend.

Compare Pinecone, Weaviate, Qdrant, Chroma, and pgvector for AI applications — covering performance, cost, features, and when to use each in 2026.

A practical framework for evaluating LLM applications beyond vibes — covering metrics, automated evals, LLM-as-judge, and building eval pipelines that scale.

Step-by-step guide to running LLaMA 3, Mistral, and other open-source LLMs locally with Ollama — zero API costs, full privacy, and production-ready setup.

Why AI engineers in 2026 are moving beyond prompt tricks to systematic LLM application design — and what that shift means for your career and projects.

A practical guide for AI engineers comparing RAG and fine-tuning — when to use each, cost tradeoffs, and what hybrid approaches look like in production.

Explore the latest AI agent breakthroughs and autonomous systems in 2026: multi-agent workflows, reliable deployment patterns, and practical engineering less...