ALT: Nelson Muntz Ha-Ha! Simpsons Laugh

YouTube video by Bret Fisher

sem-ai keeps moving. Here's a quick rundown of what shipped last week and what's coming next.

Angular. tj-actions. Cline. TanStack. The same class of attack has been quietly hijacking publish pipelines for two years. Here's what it is, how it works, and what you need to do today.

As teams scale, one of the first cracks in a CI/CD setup appears between infrastructure and application deployments. Infrastructure (Terraform, Pulumi, CloudFormation) evolves on one track.…

Learn how Semaphore implemented OAuth for MCP servers, the challenges of authenticating AI agents, and practical lessons for building secure, real-world integrations.

A conversation with Terrateam CTO Malcolm Matalka on GitOps, Terraform, OpenTofu, and invisible infrastructure tooling.

Sebastian Gierlinger shares how Storyblok scaled a remote engineering team, evolved delivery, and balanced process, people, and technology.

See how Semaphore’s MCP Server enables AI agents to read docs, build CI pipelines from scratch, debug failures, and continuously improve workflows using real CI/CD context.

ARM-based machines on Semaphore are now generally available. Build, test, and deploy natively on ARM for faster, more reliable CI/CD pipelines.

Keren Fanan and Hadar Geva discuss reinventing frontend development with MyOp, runtime UI orchestration, safer deployments, and AI-driven change.

Learn how to integrate Semaphore with GitHub Copilot Agents to automatically diagnose CI failures, generate fixes, and create self-healing pipelines.

Learn how to build self-healing CI pipelines with Semaphore using AI agents that automatically diagnose failures, apply fixes, and open pull requests.

Semaphore’s MCP Server lets AI agents and IDEs access rich CI/CD context to explain failures, summarize pipelines, and suggest fixes.

Learn how to build a simple MCP Server with Python. This guide covers everything you need to bring AI-powered automation to your CI/CD.

How Job Matrices Simplify CI/CD

Touted as the “USB-C for AI”, MCP connects LLMs and AIs to external tools using a simple, open standard built on JSON-RPC.