#CodeSpace

30 GitHub tricks every developer should know :- → Use GitHub Issues to track bugs and tasks. → Use Pull Requests to review code before merging. → Use GitHub Discussions to collaborate with developers. → Use GitHub Actions to automate workflows. → Use GitHub Pages to host static websites. → Use GitHub Gists to share code snippets. → Use GitHub Projects to manage projects. → Use GitHub Copilot to assist with coding. → Use README. md to document your projects. → Use Markdown to format documentation. → Use branch protection rules to protect important branches. → Use CODEOWNERS to assign code reviewers automatically. → Use GitHub Releases to publish software versions. → Use GitHub Tags to mark important commits. → Use GitHub Templates to standardize issues and pull requests. → Use GitHub Secrets to store sensitive workflow credentials. → Use Dependabot to update dependencies automatically. → Use CodeQL to identify security vulnerabilities. → Use GitHub Sponsors to support open-source developers. → Use Star to bookmark interesting repositories. → Use Fork to create your own copy of a repository. → Use Watch to receive repository notifications. → Use Pin Repositories to showcase your best projects. → Use Topics to make repositories easier to discover. → Use GitHub Search to find repositories, code, and developers. → Use Keyboard Shortcuts to navigate GitHub faster. → Use GitHub CLI to manage repositories from the terminal. → Use GitHub Codespaces to develop in a cloud environment. → Use .gitignore to prevent unnecessary files from being tracked. → Use CONTRIBUTING. md to guide open-source contributors.

Did you get your enrollment key in the @get_optimum Console yet? I got mine! And to be completely honest, I quickly spun it up in Codespaces first just to test the waters and see what’s what. But after digging deeper into the docs and network architecture, I immediately moved it to a dedicated VPS. Here’s why: Let’s be real for a second: if you genuinely want to support the protocol rather than just clicking buttons for the sake of it - forget about Codespaces, Colab, or running it on your daily laptop. Why running a P2P gateway in transient sandbox environments does more harm than good: 1. The mesh hates "blinking" nodes. Optimum’s P2P mesh (mump2p on port 33213) handles live Ethereum Mainnet blocks every 12 seconds. When a node flickers online for 15 minutes behind Codespaces’ janky NAT and then vanishes, it doesn't help the network - it just creates topological churn and useless reconnection overhead for 40+ live peers. 2. The real value is 24/7 telemetry. The gateway runs with telemetry flags enabled. For Optimum's engineering team, every stable node acts as a live probe streaming continuous data on connection quality, transit latency, and RLNC matrix convergence across regions. A laptop that goes to sleep or a sandbox that times out produces zero useful telemetry. How to do it properly in the exact same 2 minutes? Throw it on any dirt-cheap $3–$4/mo VPS: • The gateway is completely featherweight: no 2TB SSD or 32GB RAM needed like with a full Ethereum node. • It sips ~300MB of RAM and barely scratches the CPU, running smoothly as a background Docker container with --restart unless-stopped. • All it really needs is a stable connection and a persistent IP to keep mesh peering solid. (A quick console pro-tip: default keys are often minted with a 24-hour expiration. Take a few extra seconds in the key settings to set the validity to 1 year so you don't have to deal with re-enrolling every single day). There are no leaderboards, no referral links, and no point-farming here. But if we believe in the technology and actually want to make a real contribution - let’s do it the right way. @MurielMedard @kentlinyy @blockchainjeff

Everyone has been asking, What's Next for Code Space ??? This is one of it! If you’re interested in representing #CodeSpace, please fill out the application 👇 Application Ends: 1st of September.

I wanted a Codespaces view that shows what’s left and where it’s going: compute and storage separately, daily pace, per-repo table. It reads GitHub billing data, updated hourly—not a live per-Codespace meter.

Oracle quietly halved its free server in June. What is left is still absurd: 2 CPUs, 12 GB of RAM, 200 GB of disk, 10 TB of data a month. Price: $0. End date: none.

The setup: sign up with a real credit card (verification only, prepaid cards get rejected), create the A1 Flex instance at 2 OCPU and 12 GB, then keep it doing real work. Free instances idle for 7 days get reclaimed.

It is not the only free lane. Azure gives 750 VM hours a month for 12 months. GitHub gives 120 Codespaces core-hours a month. Modal gives $30 of GPU compute monthly. The full verified map:

It's the weekend. Time to build! I've put together a hands-on workshop to turn a simple LLM into an AI agent. Constructing the harness one building block at a time. The setup: Ollama + OpenCode + GitHub Codespaces.

💡 Tip of the day #13 A free cloud dev machine for any repo. Open a repo: Code, Codespaces, Create. 120 free core hours a month. About 60 hours on 2 cores. Good for: testing a repo safely.

Hey all attending #CSTA2021!!! Would love to chat with you from 11:30 to noon CST in our booth! We provide #Python learning physical & web-based tools w/ full curric - grades 4-12. AND, colleges, Airforce & Canadian defence dept use our tools also. Contact us! #CodeSpace #CodeBot

We analyzed info stealers targeting exposed #GitHub #Codespace instances to steal data such as Discord tokens, Steam credentials, and browser data, among others. Here’s an overview of the first section of this info stealer as we investigated it here: ➡️

The dotfiles project centralizes configurations and tools for .NET, Git, Bash, and GitHub Codespaces development environments. It includes aliases, task automation, project diagnostics, dependency analysis, and code validation. The goal is to simplify setup and maintenance of consistent development environments while preserving project-specific configurations.

The AI Artifacts extension has Cursor's agent save a plan as a separate editor document, so you can comment inline and send all comments back in one batch.

You can comment on any paragraph, list item, code block or table cell. The agent answers questions in chat and changes the document only where you asked. Proceed approves; Just save keeps it without running anything.

Artifacts are deleted after 30 days by default (configurable) from ~/.ai-artifacts/. It runs only in local desktop editors for now: no Remote SSH, WSL, dev containers or Codespaces.

Ready to go beyond the theory? On November 4, DevCon 2026 brings you practical sessions designed to tackle real engineering challenges. 💻 Philippe Charrière | Docker Discover how to run AI coding agents more safely using Docker Sandboxes, Docker Agent, and Mistral. 🤖 Oleksandra Bovkun | Databricks Too many coding agents, not enough context? Explore how Omnigent helps you manage your workflows across AI coding agents. ⚙️ Patrick Koch | AVL List Get hands-on with Terraform Modules, GitHub Codespaces, and GitHub resource management. From securing AI agents to managing development environments, these masterclasses are all about learning by doing. 🔥 Get ready to experiment, ask questions, and turn knowledge into practice! 📍 November 4 | Nord Events Center, Bucharest 🎟️ Explore the full agenda: #DevCon2026 #Masterclasses #AI #DevOps #SoftwareEngineering

Moved your blog from WordPress (or another CMS) to #Hugo? I made the switch a few years ago, and here are some tricks I wish I’d known from day one 🧵👇

SEO: I had a huge drop in indexed sites. Not all themes produce JSON-LD metadata by default. This helps Google to understand your site hierarchy. For some themes you can enable it. Verify with:

Codespaces: You can easily edit and preview your posts directly on GitHub with codespaces and preview them privately with forwarded ports. This allows you to work on posts in the browser without all the hugo and git setup locally.

@alexip working on agent stuff mostly. a codespaces plus opencode workshop sounds like a fun weekend build

One lesson from building Antigravity Codespaces Pro: the workspace can be fine while local `gh` auth, SSH, or Remote-SSH isn’t. Setup Doctor checks those pieces before connecting. Host support varies.

GitHub Educationの教職員資格では1 Passwordはサービス外らしい… GitHub Education as a teacherの申し込み▽ 得られるbenefitsは以下の通り▽ ・GitHub Copilot Pro: AIコーディング支援ツールの無料利用 ・GitHub Team: 授業や研究室用オーガナイゼーションのアカウント機能アップグレード ・Codespaces / Actions: クラウド開発環境・自動化の実行上限の拡張 ・Teacher Toolbox: 授業用教材テンプレートや教育者専用コミュニティへのアクセス

1password、学生はgithub student developer packで2年間無料です。 おれも今導入してる

It's Saturday! #AI build time! This week end, I'm designing a workshop to teach Agentic AI using Ollama, Opencode on Github Codespaces So ... what are YOU building?

Finally got my travel setup dialed in for long flights 🤌🏽 - Ipad mini + keyboard/trackpad - Codex cloud env setup with GitHub - I can also use Tailscale to hit my local LLM server It's still wild to me that I can build things without ever opening my IDE.

I've been working on mine. So far my favorite has been tailscale to vs code server from browser on iPad or fold phone. That way I still get while IDE for code review and I access terminal directly there too mirroring my regular workflow on computer. You can install site as webapp to home screen to get rid of browser tabs (give more ide space). I'm still hunting for the perfect small / folding keyboard tho.

@sagecodes I've just been doing GitHub Codespaces if I need an IDE. But your setup sounds sweet, I'll try it out!

This is awesome! I am now testing if my macOS #ARM64 unit tests of Magick․NET are working inside a @GitHub #Codespace. This codespace gives me access to the code that is being executed on the @GitHub actions runner!

I’ve been testing Reason Machines for the past 2–3 days on Antigravity Codespaces Pro, my open-source project for managing GitHub Codespaces. It helped me resolve several issues during testing, and I’m happy with how it has worked so far. Still early, but a promising first impression. I’ve been using the free AI credits available to me on the platform, which gave me a chance to try it on actual project work. If you’re exploring coding agents, it’s worth trying on a small task in your own repo. That tells you more than a demo. The project I tested it on: