Agent CI — Run GitHub Actions Locally

Turn Dependabot Off

I recommend turning Dependabot off and replacing it with a pair of scheduled GitHub Actions, one running govulncheck, and the other running CI against the latest version of your dependencies.

AgentScan - GitHub Automation Detector

An open experiment in detecting automation patterns on GitHub

GitHub just got less independent at Microsoft after CEO resignation

GitHub will be part of Microsoft’s AI engineering team

Managing Changes from Multiple AI Agents

In this video, I walk you through managing changes from multiple AI agents in our to-do app, specifically focusing on the Expert to CSV button. We explore design options using ground agents, where one agent proposes a green design and the other a blue one. After some time, both agents complete their tasks, and their changes are synchronized to GitHub and our local machine. I demonstrate the final designs and decide to ship the green version as the main one. I encourage you to apply this approach in your own projects and consider using rebase in GitHub for similar tasks.

Under the hood: Security architecture of GitHub Agentic Workflows

Learn how our threat model and security architecture help teams run agents safely in GitHub Actions.

Playwright on GitHub Actions: The setup that actually runs fast

Playwright CI should not crawl. Learn how to cache browsers, run tests in parallel, and cut GitHub Actions time fast.

A GitHub Issue Title Compromised 4,000 Developer Machines

A prompt injection in a GitHub issue triggered a chain reaction that ended with 4,000 developers getting OpenClaw installed without consent. The attack composes well-understood vulnerabilities into something new: one AI tool bootstrapping another.

git-ai/specs/git_ai_standard_v3.0.0.md at main · git-ai-project/git-ai

A Git extension for tracking the AI-generated code in your repos - git-ai-project/git-ai

Build esp-v2 with GitHub Actions? · Issue #881 · GoogleCloudPlatform/esp-v2

To make it easier to test experimental changes to the proxy, I configured a GitHub Action to build it. Would the team like to have this in the main repo? A downside is that it takes ~1h 45min to ru...

luca. ∆ИƉЯƐΛ on Twitter / X

People keep saying AI coding agents can only build basic, cookie-cutter apps. I decided to prove them wrong.For my first major public demo, I spent some time pushing @Replit 's AI agent to its absolute limit. The result? I rebuilt macOS entirely on the web. No templates. No… pic.twitter.com/0DNTDpp0aA— luca. ∆ИƉЯƐΛ (@agi2asi) March 4, 2026

The solution might be cancelling my AI subscription

Computers for agents

Sandboxes aren't enough. Give your agent a real computer and get back to building.

'AI' Sucks the Joy Out of Programming

I’ve used spicy auto-complete, as well as agents running in my IDE, in my CLI, or on GitHub’s server-side. I’ve been experimenting enough with LLM/AI-driven programming to have an opinion on it. And it kind of sucks.