Tag: GithubCopilot

  • Reproducible Vibe Coding | It’s all About Context

    Actually I wanted to try a bit GithubCopilot with Agents.md. Yet .. I think during the project I totally forgot to test the influence of the Agents file but tried “vibeCoding” in a reproducible way.

    I had a very little project in mind that authenticates to Mastodon, fetches some data, saves into a database and displays some metrics on a web page in basic charts. Nothing overly fancy, but also some stuff that would simply take some time when coding “alone”. Like proper OAUTH flow, paging through mastodon apis, rate limiting, database writing, database setup script and cleanup. Some Javascript for the chart, etc.

    But I thought it might be nice to try with GithubCopilot (GHC). But I’m also a big fan of reproducible results. So … step by step, what did I do.

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  • How to write great agents.md(s) – A recommendation from GitHub

    GitHub’s new guide, How to write a great agents.md: Lessons from over 2,500 repositories, pulls lessons from over 2,500 repositories to show how to document AI agents effectively. It’s not just about clarity but also about making collaboration, reproducibility, and scalability possible.

    The guide breaks down how to structure agents.md files for real-world utility. It highlights common mistakes and explains why solid documentation is the backbone of any successful AI project. Whether you’re a developer, DevOps engineer, or just curious about AI tooling, this is a practical roadmap.

    For anyone serious about AI development, this is a resource worth keeping: https://github.blog/ai-and-ml/github-copilot/how-to-write-a-great-agents-md-lessons-from-over-2500-repositories/