DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow combines live experimentation data through MCP, engineer approval, isolat... Context & related coverage →
AI is accelerating software development at an unprecedented pace. But as code generation scales, so do the challenges of securing the code, especially emerging AI-based vulnerability exploitations. To meet these chall... Context & related coverage →
github.com · 2026-09-18 · Ranked: agent + harness match · community signal · fresh 0.97 · score 2.10
I spent the last 3 months building my own AI agent harness, fully written in Go. It's called Forcefield, and I primarily built it because I had trouble using local AI models with agent harnesses like Claude Code. I fo... Context & related coverage →
Deploy production-ready Hugging Face models on Amazon SageMaker AI using six open-source agent skills. Point a coding agent at a model and get back a real-time endpoint with the right serving container, autoscaling, A... Context & related coverage →
timothysykes.com · 2026-09-18 · Ranked: community signal · fresh 0.98 · score 1.98 · Context
The Creative Spirit of Who Framed Roger Rabbit I love Who Framed Roger Rabbit , the 1988 movie by Robert Zemeckis. I haven't watched it in quite a few years, and Cypress Frankenfeld just pointed out this sequence from... Context & related coverage →
We dive into these questions and other AI hot takes on the latest episode of the GitHub Podcast. The post Should you read the code, is RAG dead, and did Skills kill MCP? appeared first on The GitHub Blog . Context & related coverage →
What is Jev? Learn how TypeSafe AI’s System One model makes fast, structured decisions, where it fits in the agent loop, and how to use Jev with LangChain Context & related coverage →