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I Stress-Tested 5 AI Gateways. Only One Didn't Choke.

Your Proxy Is Probably Your Bottleneck

In ai-infrastructure, open-source, Mar 27, 2026

The Token Tax: Why I Built html2md for the AI Era

The "Token Tax" of the Human Web

In AI Agents, Data Engineering, Mar 16, 2026

html2md: Turn Any Website into Clean Markdown — With a Single URL

If you’ve ever tried to feed a website into an LLM, you know the pain. The web is messy. Cookie banners, JavaScript-heavy SPAs, Cloudflare walls, deeply nested DOM trees — and all you...

In Developer Tools, AI Engineering, Mar 16, 2026

Rescuing Content from the Abyss: Automating Legacy HTML to Markdown Migration

You’ve just inherited a 10-year-old legacy CMS disaster. Ten thousand pages of content. Broken inline styles. Deeply nested tables. Images pointing to paths that no longer exist. And ...

In Engineering, Open Source, Case Studies, Mar 15, 2026

The Half-Life of AI Tools: Why Your MCP Server is Already Obsolete

If you build tools for AI agents, you need to get used to the feeling of your work becoming obsolete before you’ve even finished writing the documentation.

In AI Engineering, Developer Tools, Mar 14, 2026

The Unix Agent Paradigm: Why We Must Kill the AI Daemon

Over the past year, the AI engineering world rallied around a noble goal: standardizing how Large Language Models (LLMs) interact with external systems. The result was the Model Conte...

In Mar 14, 2026

The Sandbox Illusion: Why Local AI Agents Need Kernel-Level Isolation

We keep pretending that wrapping an LLM in a thin API layer and telling it “don’t touch the filesystem” constitutes real security.

In Security, AI Agents, Engineering, Mar 13, 2026

Markdown is the New Assembly: Why LLM Pipelines Need Structural Compilers

Look at your RAG pipeline right now. Actually look at it.

In AI Engineering, Data Pipelines, RAG, Mar 13, 2026

Production-Ready P2P: How We Hardened Traylinx Stargate for the Real World

Building a peer-to-peer network for AI agents sounds deceptively simple. “Just let them talk to each other!”

In AI Agents, Engineering, Infrastructure, Feb 05, 2026

Building the Skills Infrastructure: How We Made Agent Capabilities Truly Portable

Last week, we talked about why agent skills matter. We covered how they solve context fatigue, enable just-in-time expertise, and turn flat documentation into portable, production-rea...

In AI Agents, Engineering, Developer Tools, Feb 05, 2026

Talk to Your CLI: Traylinx Cortex Brings Natural Language to Agent Management

If you’ve ever stared at a terminal trying to remember if the flag is --agent-name, --name, or just -n, you know the pain. And if you’ve ever wished you could just tell your CLI what ...

In AI Agents, CLI Tools, Developer Experience, Feb 05, 2026

Google Drive Forge: An AI That Writes Its Own Skills

What if your AI assistant could teach itself new tricks?

In Open Source, AI Tools, MCP, Feb 04, 2026

From Prompts to Portable Skills: How Agent Capabilities Grow Up

If you’ve spent any time building with modern AI agents, you’ve probably hit the same wall everyone else does: the bloated system prompt.

In AI Agents, Engineering, Agent Skills, Feb 04, 2026

The Guardians: Superbrain & The State Box

In software engineering, the most dangerous error isn’t a Crash—it’s a Hang.

In AI, Engineering, Security, Feb 02, 2026

Intelligent Proxy Patterns: Building a Gateway That Learns

A proxy without memory is essentially a digital goldfish. It swims around, processes a request, and then immediately forgets that it ever happened.

In AI, Engineering, Agents, Jan 31, 2026

Embedding switchAILocal: An Integration Guide for Go Developers

switchAILocal isn’t just a standalone server. It’s also a Go SDK you can embed directly into your own applications. Instead of running a separate proxy process, you bake the gateway i...

In Engineering, Go, Tutorial, Jan 30, 2026