Writing
Articles
- AI Engineering
LangChain Explained: The Framework for Building LLM-Powered Apps
An introduction to LangChain, the open-source orchestration framework for building applications powered by large language models — what it is, the data sources it connects to, and how context-aware decision making shapes modern AI workflows.
- AI DevOps
Harness: The AI-Native Software Delivery Platform Built for the "After-Code" Era
Harness is a modular, AI-powered software delivery platform that automates everything after code is written—testing, deployment, verification, and cost optimization. This introduction covers how it fits into AI CI/CD pipelines, its advantages over tools like Jenkins, its adoption and competitors, plus training resources and the free developer tier.
- AI Search
AI Search APIs for Agents: How Tavily, Exa, Brave, and the Rest Stack Up
A practical comparison of the leading AI-optimized search APIs for agents—Tavily, Exa, Brave, Serper, Perplexity, Linkup, and Firecrawl—covering their strengths, weaknesses, free tiers, and the search tasks each handles best.
- AI Agents
Apple Opens Its Foundation Models Framework to Gemini, Claude, and Beyond
At WWDC 2026, Apple turned its on-device Foundation Models framework into a vendor-neutral, agentic developer platform — letting any provider plug into one Swift API, giving small developers free cloud inference, and promising to open-source the framework this summer.
- Security
When Provenance Isn't Enough: The 'Mini Shai-Hulud' Supply-Chain Worm and What It Changes
A self-propagating worm dubbed "Mini Shai-Hulud" tore through npm and PyPI in May 2026, hitting TanStack, OpenAI, Grafana, GitHub and others — and, crucially, defeated cryptographic provenance by compromising build pipelines at runtime. Here's why it matters and what defenders should change.
- Research
The Open-Source AI Agent Framework Landscape in 2026: Consolidation, Protocols, and Hard Production Lessons
A field guide to the leading open-source AI agent frameworks—from LangGraph and CrewAI to Microsoft's newly merged Agent Framework—plus the interoperability protocols, coding-agent benchmarks, and sobering production realities shaping the space in 2026.