Blog

Notes from building Tedix: coding agents, MCP, and keeping autonomous work accountable.

30 April 2026CrewAI vs Tedix vs LangGraph: choosing an accountable agent platformA developer-focused comparison of CrewAI, LangGraph, and Tedix for role orchestration, stateful workflows, and governed delegated work.
30 April 2026How to Make Your MCP App Discoverable: A Practical Guide for DevelopersLearn the key strategies to make your MCP app stand out in AI app directories like ChatGPT, Claude, and Gemini.
30 April 2026Autonomous AI Agents: Architecture, Memory, and Skill LearningThe world of artificial intelligence is rapidly moving beyond simple chatbots to sophisticated autonomous AI agents. These intelligent systems don't just respond; they perceive, reason, plan, and act independently to achieve complex goals. Understanding what are autonomous AI agents and how they learn skills over time, including their architecture, persistent memory, and skill-building mechanisms, is crucial for anyone looking to harness their transformative power. This article dives deep into the core concepts, practical applications, and the frameworks driving this agentic revolution.
30 April 2026Introducing Emdash CMS for TedixWe're dogfooding our own platform — migrating the Tedix blog to Emdash, the open-source Astro-native CMS built for the AI era. Here's why and how.
30 April 2026MCP Tools: The API for AI AgentsHow Tedix turns any REST API into MCP tools that AI agents can discover, understand, and use — no code required.