#GitHubCopilot

N-gated Hacker Newsngate
2025-05-16

👨‍💻💡 "Someone thought needed a Node-RED knockoff, because who doesn’t want to visually drag-and-drop their way to a distributed systems headache? 🤦‍♂️ GitHub Copilot must be laughing in its algorithmic dreams."
github.com/gorenje/erlang-red

2025-05-15
2025-05-15

Visual Studio 2022 + Copilot Agent Mode + Model Context Protocol (MCP) Servers Are Here | with James Montemagno. buff.ly/QqRzgjj #vs2022 #githubcopilot #visualstudio #mcp #ai #modelcontextprotocol #aiagents

Visual Studio 2022 + Copilot A...

Alvin Ashcraft 🐿️alvinashcraft@hachyderm.io
2025-05-15

Visual Studio 2022 + Copilot Agent Mode + Model Context Protocol (MCP) Servers Are Here | with James Montemagno.

youtube.com/watch?v=oPFecZHBCk

#vs2022 #githubcopilot #visualstudio #mcp #ai #modelcontextprotocol #aiagents

2025-05-14

🎉 Visual Studio 2022 v17.14 is now generally available! | by Mads Kristensen. buff.ly/vwuL7Fn #vs2022 #visualstudio #debugging #ai #productivity #dotnet #githubcopilot

🎉 Visual Studio 2022 v17.14 is...

James Montemagnojamesmontemagno
2025-05-14

Agent mode and MCP server support is here in the latest update of Visual Studio and it is absolutely delightful! I give you a full breakdown of everything you need to know:

youtube.com/watch?v=oPFecZHBCk

2025-05-13

GitHub for Beginners: Building a React App with GitHub Copilot. buff.ly/h0ET7ab #github #react #javascript #webdev #frontend #githubcopilot #ai

GitHub for Beginners: Building...

2025-05-12

Real‑world video demo: Using different AI models in GitHub Copilot. buff.ly/A7LwY4g #ai #aimodels #githubcopilot #productivity #aiassistant

Real‑world video demo: Using d...

2025-05-11

I recently set myself the exercise of using modern automated tools - in particular, a combination of the #GithubCopilot large language model and the dependent type matching tactic #canonical - to try to semi-automatically formalize in #Lean a one-page proof provided by a collaborator of the #EquationalTheoriesProject (Bruno Le Floch). With these tools, I was able to more or less blindly do the formalization in 33 minutes, withou any real high level conception of how the proof proceeded. It was a very different style to how I usually formalize results, but was workable for this type of technical, non-conceptual argument where the main issue is to get the details correct rather than the "big picture".

I recorded my attempt at youtube.com/watch?v=cyyR7j2ChC . See also additional discussion at leanprover.zulipchat.com/#narr . The final proof (which is far from optimized, but got the job done) can be found at github.com/teorth/estimate_too

Alvin Ashcraft 🐿️alvinashcraft@hachyderm.io
2025-05-09

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst