GitHub Improves Code Review Performance

Most open source contributors never make their first commit. Not because they can't code. Because they open the repo, see 40 folders, and quietly close the tab. Our CTO, Ole Lensmar wrote a post that removes that excuse for Testkube. Clone the repo. Run two commands. Make a real code change inside a live local Kubernetes cluster. Watch Tilt pick it up in about two seconds, no Docker rebuild, no pod reschedule. The entire inner dev loop is that fast. If you've been meaning to contribute to an open source Kubernetes project and keep putting it off, this is the one to start with. → Full walkthrough on the blog: https://hubs.li/Q04bNx6R0

GitHub adds Stacked PRs to speed complex code reviews A new feature to facilitate code reviews and prepare for an AI-driven surge in code changes. My PoV included in InfoWorld news today. https://lnkd.in/gF9kzM42

Interesting take on the effect of AI driven software development on repositories, and GitHub more specifically— it seems that the added workload stemming from a huge increase in push and pull requests is pushing the infrastructure beyond its limits, resulting in much more frequent downtime.

You assign a GitHub issue before lunch. By the time you're back — there's a pull request waiting. That's the GitHub Copilot Coding Agent. GitHub Copilot has evolved far beyond autocomplete. The Coding Agent now works asynchronously in the background — fixing bugs, writing tests, refactoring code — and hands you a ready-to-review PR when it's done. Here's what just shipped: 🎛️ Model picker — Choose Claude Opus, Claude Sonnet, GPT-Codex-Max, or let Auto decide. Pick the right model for the complexity of each task. 🔍 Self-review — The agent reviews its own diff before tagging you. By the time you're looking at it, someone already went through it once. 🔒 Built-in security — Code scanning, secret scanning & dependency vulnerability checks — all before the PR opens. Free with Copilot coding agent. 🔌 MCP servers — Plug in external tools, databases, and context via Model Context Protocol. Your agent now has eyes beyond the repo. The agent boots a VM, clones your repo, RAG-indexes your codebase, and starts coding. You track every step in session logs. Your branch protections, CI/CD approvals, and security posture? Untouched. Think of it as having a junior dev who never sleeps, never skips tests, and always opens a clean PR. What low-to-medium complexity tasks would you hand off to an agent first? Drop a comment 👇 #GitHubCopilot #AI #CodingAgent #SoftwareEngineering #DevTools #AgenticAI #GitHub

Github has admitted that “deep architectural work” is needed to resolve the root causes behind a series of recent outages that left almost all of its services critically impaired. https://buff.ly/BEBmuNL #tech #GitHub #software #coding

Github has admitted that “deep architectural work” is needed to resolve the root causes behind a series of recent outages that left almost all of its services critically impaired. https://buff.ly/BEBmuNL #tech #GitHub #software #coding

🚀 GitHub just made code reviews a lot smarter with Stacked PRs (gh stack) If you’ve ever opened a massive PR and thought: Who is going to review this? you’re not alone. That’s exactly the problem GitHub is solving with stacked pull requests. 💡 Instead of one huge PR: You break your work into small, logical layers, each as its own PR, stacked on top of each other. 👉 Example: PR #1 → Auth logic PR #2 → API endpoints (depends on #1) PR #3 → Frontend (depends on #2) Each PR is: ✔ Easier to review ✔ Faster to merge ✔ Less prone to conflicts And the best part? 🔧 GitHub now supports this natively with: • A stack-aware UI (navigate layers easily) • Cascading rebases with one click • CLI support via `gh stack` • Ability to merge the entire stack together No more messy rebasing or waiting for one PR to merge before starting the next. 🔥 Why this matters: • Improves developer velocity • Makes code reviews actually meaningful • Reduces “PR fatigue” in teams This feels like a big step toward how modern teams should be shipping code. 🔗 gh stack: https://lnkd.in/dRvP8Cny #GitHub #SoftwareEngineering #DevWorkflow #CodeReview #Developers #Tech