Build the 50-Line Agentic Loop That Powers Every AI Agent Platform
The loop behind Managed Agents, OpenAI Agents SDK, and Google ADK is ~50 lines of Python. Build it, see through vendor marketing.
Three Agent Platforms Launched in April. None of Them Ship a Deploy Button.
Google, Anthropic, and OpenAI shipped agent runtimes in April 2026 — but zero CI/CD, rollback, or staging. Agents are pre-Docker.
Your AI Agent Crashes at Step Four. Now What?
All three major agent runtimes shipped recovery features in April 2026. None actually solve durable execution. Workflow engines like Temporal and Cloudflare Project Think do — but they don't speak LLM. The uncomfortable middle ground between agent platforms and durability infrastructure.
You Can't Test Your AI Agent. None of the SDKs Care.
Three agent SDKs shipped in April 2026. All three let you build agents. None let you test them. The non-determinism problem nobody wants to solve — and what to do about it right now.
Build Your First MCP Server in Python: 40 Lines From Copy-Paste Human to AI That Sees Your Data
A hands-on guide to building a working MCP server in one Python file. Real code, real gotchas, zero fluff.
How to Test Your AI Agent: Tool-Call Assertions Instead of Vibes
Your agent SDK shipped zero test utilities. Here's a 60-line Python harness that tests what your agent does, not what it says.
Your Agent Picks the Wrong Tool Because You Wrote a Bad Description — And No Platform Cares
97% of MCP tool descriptions have quality issues. All three agent platforms ignore this. Here's why it matters.
Your Agent Tools Have No Version Numbers. 97 Million Downloads Don't Care.
MCP tools hit 97M downloads with zero versioning. One renamed parameter silently breaks your agent. Nobody's watching.
Your Agent's Tools Are Down and Nobody's Watching
52% of MCP servers are dead. Google and AWS shipped observability — but not for the tools your agent actually calls.
Your Agent's Permission Dialog Is a Placebo
Google, Anthropic, and OpenAI shipped tool-level permission gates in April 2026. None of them check what the tool actually does.
MCP's 2026 Roadmap Has Four Priorities. Error Handling Isn't One of Them
The MCP protocol defines tool errors as a boolean and a free-text string. The 2026 roadmap doesn't plan to fix that. Here's what that means for every agent in production.
Google ADK 1.0: Your AI Tools Might Be Secret Agents Now
ADK 1.0 makes tools and agents interchangeable — your AI can't tell which is which, and neither can your security model
Nobody Ships Agent Chain Reliability. Here's How to Build It.
Anthropic, AWS, and Google shipped agent monitoring in April 2026. None measure compound chain reliability. Here's what LangGraph, CrewAI, and ADK actually give you — and the DIY patterns you build yourself.
MCP Called Its Safety Labels "Hints" and Wonders Why Nobody Trusts Them
MCP's tool annotations have the right safety fields — readOnlyHint, destructiveHint, idempotentHint, openWorldHint — but calling them "hints" told the industry not to trust them. Six weeks later, Microsoft, Anthropic, and Google all built governance systems from scratch instead of using existing protocol metadata. One word broke the safety layer.
The Agent Paradox: Less Autonomy, More Value
Three agent platforms in two weeks. Production data says the least autonomous agents deliver the most ROI.