Pullfrog, an open-source AI-powered GitHub bot created by Colin McDonnell, is in beta, positioning itself as a model-agnostic alternative to CodeRabbit that runs entirely within GitHub Actions. McDonnell announced Pullfrog on May 12, 2026. The tool is designed as an orchestration layer for asynchronous development inside GitHub, listening for webhooks and triggering AI agent runs based on configurable events such as new pull requests, issues, CI failures, and review submissions.
We began GitHub Agentic Workflows as an investigation into a simple question: what does repository automation with strong guardrails look like in the era of AI coding agents? A natural place to start was GitHub Actions, the heart of scalable repository automation on GitHub. GitHub Agentic Workflows leverage LLMs' natural language understanding to let developers define automation goals in simple Markdown files describing the desired outcome.
LinkedIn has redesigned its static application security testing pipeline (SAST) to provide consistent, enforceable code scanning across a GitHub-based, multi-repository development environment. The initiative was a result of the company's shift-left strategy by delivering fast, reliable, and actionable security feedback directly in pull requests, strengthening the security of LinkedIn's code and infrastructure and helping protect members and customers.
The newest type checker on the block is Astral's ty, the maker of Ruff. Ty is another super-fast Python utility written in Rust. To install ty with uv, run the following: uv tool install ty@latest If you do not want to use uv, you can use the standalone installer. Instructions vary depending on your platform, so it is best to refer to the documentation for the latest information. Note: Technically, you can use pip or pipx to install ty as well.
