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Showing posts with the label Maps

This Week I Learned - Week #31 2025

This Week I Learned -  * GitHub released its latest coding agent to its Enterprise and Pro+ users: GitHub Copilot Coding Agent. Pipeline/headless agents like GitHub Copilot Coding Agent are built for scale. They integrate with CI/CD pipelines or scheduled jobs, enabling tasks like enforcing standards, migrating code, or updating infrastructure across repositories. While they demand stricter guardrails and detailed specifications upfront, they excel in delivering consistent and repeatable changes without requiring constant oversight for every prompt. *  CrewAI is a Python framework for orchestrating role-playing, autonomous AI agents. It is built entirely from scratch—completely independent of LangChain or other agent frameworks. * "LLM system design is its own engineering discipline. We’re past the point where prompt engineering and model fine-tuning are enough. What matters now is composition; how models, tools, memory, and decision logic are structured and or...

This Week I Learned - Week #30 2025

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This Week I Learned -  * The Web Platform Status web site allows web developers to query and track features shipped in major browsers. *  Appwrite.io  is an open-source, all-in-one development platform that provides built-in backend infrastructure and web hosting, all conveniently managed in one place.  *  GitHub Apps are tools that extend GitHub's functionality. GitHub Apps can do things on GitHub like open issues, comment on pull requests, and manage projects. They can also do things outside of GitHub based on events that happen on GitHub. For example, a GitHub App can post on Slack when an issue is opened on GitHub. Once you authorize a GitHub App, the app can act on your behalf. The situations in which a GitHub App acts on your behalf vary according to the purpose of the GitHub App and the context in which it is being used. For example, an integrated development environment (IDE) may use a GitHub App to interact on your behalf in order to push changes you ...

See Maps Instantly with GitHub’s Built-in GeoJSON Visualizer

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Did you know GitHub isn’t just for code - it can show your maps too?  If you upload a file in the GeoJSON format (a popular, text-based way to share map data), GitHub will instantly display it as an interactive map right in your browser without having to code anything. Just add your .geojson file to a GitHub repo. Click it, and you’ll see your locations appear on a pan-and-zoom map. Each feature (like a city, region, or route) can be clicked for details, thanks to GeoJSON’s properties. This feature is powered by Tom MacWright 's Mapbox technology under the hood. I created a GeoJSON file from “ Memoirs of My Working Life ,” mapping places tied to Sir M. Visvesvaraya’s travels and achievements.