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An open-source, local, read-only MCP server that checks your request before Google quietly hands back nothing Ask the Google Search Console API for clicks filtered by country us and you get zero rows. No error, no warning, just nothing. It's not the only one.
Here’s a little pattern I find handy for writing documents with AI when you already have a lot of text you want to preserve verbatim and a few slots where you want to generate something. I call these slots sparkle pills: instructions wrapped in *(...) that a model fills in.
Writing production-quality code isn’t perfectly solved by today’s agents, but we’re getting pretty damn close. With a frontier model to hand, rigorous upfront planning, and plenty of tests and verification checks, swathes of senior developers have laid down their text editors and stopped…
How far can documentation be compressed without losing its meaning?
WikiKB is an efficient, transparent, and explicitly curated knowledge base layer for humans and agents, built on the GitHub repository wiki.
Evergreen helps keep pull requests green and mergeable by fixing CI failures and merge conflicts, and keeping PR branches up to date with the base branch.
How agentic workflows can automate code while keeping planning and collaboration multiplayer, with demos of secure GitHub Copilot automations and Ace, GitHub Next’s shared workspace for people and coding agents.
In 2022, we got better output from large language models by asking them to show their work. In 2026, can we get better output from autonomous agents by asking them to be proud of their work?
Agentic Workflows gives you complete control to customize your Actions runtime and choose your AI model. You can deploy Agentic Workflows to a custom runner of your choosing and use any compatible AI host or model-routing platform. You can even use local inference running on your Mac!
Goal is an Agentic Workflow that brings the semantics of /goal directly to your repo. Open an issue with the goal label, and your agent will work on it until your success criteria are satisfied.
Why AI makes typing code obsolete, and why engineering teams must shift from writing syntax to curating agent-generated code and mastering architectural judgment.
Crane is a migration assistant for GitHub repositories that plans, executes, and verifies code migrations in small agentic steps while keeping humans in control.
What happens when you give PMs, compliance teams, and leaders their own agents? A tour of Agentics Beyond Code — an open-source set of GitHub Agentic Workflows for the non-engineering roles that ship, govern, and operate products.
GitHub Agentic Workflows filter untrusted GitHub content before it reaches the agent. Here’s why integrity filtering matters for repository maintainers, and how we built it.
Prompts are programs. You wouldn’t write a complex program completely from scratch, in a big, soupy loop without subroutines, and then write it again the next time you wanted to run it. Why let your agent work that way?
Canary puts a small, auditable gate in front of agentic workflows so untrusted artifacts are classified before powerful agents act on them.
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