Moe Saleh’s Post

GitHub Copilot CLI: Turn the terminal into an AI-powered teammate ⚡️ 🚀 GitHub Copilot CLI is stepping beyond autocomplete—straight into your terminal as an AI companion. ✅ Multi-file context awareness (yes, across files + even images 🖼️) 🛠️ Generate + modify code fast 🤝 Interactive help OR headless automation for CI/CD 🔌 MCP server integration + lifecycle hooks 🧠 Built-in agents + custom agents via .agent.md 🔥 Standout modes: • Interactive (local, prompt-driven) • Headless (automation pipelines) • Server (JSON-RPC for remote clients) 💡 Power moves to try: /@ mention files to give instant context /plan before coding for cleaner execution /review for high-signal code + security checks /skills + /plugin to make repeatable workflows effortless 👀 Biggest question: which would save more time—custom agents, headless CI, or code reviews? http://localhost:5204/l/16313d98 #GitHubCopilot #DevTools #AIEngineering #CLI #DevOps

GitHub Copilot CLI: Turn the terminal into an AI-powered teammate ⚡️ 🚀 GitHub Copilot CLI is stepping beyond autocomplete—straight into your terminal as an AI companion. ✅ Multi-file context awareness (yes, across files + even images 🖼️) 🛠️ Generate + modify code fast 🤝 Interactive help OR headless automation for CI/CD 🔌 MCP server integration + lifecycle hooks 🧠 Built-in agents + custom agents via .agent.md 🔥 Standout modes: • Interactive (local, prompt-driven) • Headless (automation pipelines) • Server (JSON-RPC for remote clients) 💡 Power moves to try: /@ mention files to give instant context /plan before coding for cleaner execution /review for high-signal code + security checks /skills + /plugin to make repeatable workflows effortless 👀 Biggest question: which would save more time—custom agents, headless CI, or code reviews? http://localhost:5204/l/c8bf6518 #GitHubCopilot #DevTools #AIEngineering #CLI #DevOps

GitHub Copilot CLI: Turn the terminal into an AI-powered teammate ⚡️ 🚀 GitHub Copilot CLI is stepping beyond autocomplete—straight into your terminal as an AI companion. ✅ Multi-file context awareness (yes, across files + even images 🖼️) 🛠️ Generate + modify code fast 🤝 Interactive help OR headless automation for CI/CD 🔌 MCP server integration + lifecycle hooks 🧠 Built-in agents + custom agents via .agent.md 🔥 Standout modes: • Interactive (local, prompt-driven) • Headless (automation pipelines) • Server (JSON-RPC for remote clients) 💡 Power moves to try: /@ mention files to give instant context /plan before coding for cleaner execution /review for high-signal code + security checks /skills + /plugin to make repeatable workflows effortless 👀 Biggest question: which would save more time—custom agents, headless CI, or code reviews? http://localhost:5204/l/c8bf6518 #GitHubCopilot #DevTools #AIEngineering #CLI #DevOps

I look forward to every conversation I have with Idan Gazit from GitHub Next. If you want direct access to a big picture thinker with a strong vision, don't miss this event at GitHub HQ in San Francisco on May 7. Pavan Tallapragada brings a view of real world platform engineering at the cutting edge. And Chris Romp is the first person I'd direct anyone to if they have questions about AI assisted software development. This event will take you beyond just AI coding.

To anyone who has a local .NET meetup group, give them a shot. I recently found out about 2 very promising "new" (if you can call something AI related that is over a few months old new) things at the last event. 1. GitHub Copilot CLI — yes, it's "just" a CLI. But what that actually means is hands-off issue and feature resolution is now a realistic option for more developers. Spin it loose on a task in its own branch, go focus on something else. Simple concept, genuinely useful in practice. It's been GA since February — somehow I missed it. 2. Squads — an open source framework by a Microsoft PM Architect that drops a coordinated team of AI agents directly into your repo. It just hit the GitHub Blog in March and blew up fast. I haven't had enough time with it yet to say much, but the potential for laying out complex frameworks or knocking out proof-of-concept work feels real. Definitely things to watch. Anyone else in the .NET world playing with either of these? #GitHubCopilot #AIAgents #DotNet #DeveloperTools #OpenSource

Here's my developer setup that costs $0 in tooling fees (well, almost). I've been running OpenCode + Oh-My-OpenAgent on WSL + Rancher Desktop, powered by a GitHub Copilot subscription — and honestly, I'm not going back. Here's why this stack hits different: 💳 GitHub Copilot Subscription (the only thing you pay for) - One subscription, access to multiple LLM providers: OpenAI, Anthropic (Claude), Google (Gemini), and more - Switch between models depending on the task — use Claude for reasoning, GPT for speed, Gemini for context - Way cheaper than subscribing to each provider individually - You're not locked into one model — you pick the best tool for the job 🔓 OpenCode - Open-source AI coding agent — no Cursor subscription needed - Terminal-native. Blazing fast. No Electron bloat. - Connects directly to your GitHub Copilot models — plug and play - You own your config, your prompts, your workflow. 🧠 Oh-My-OpenAgent - Supercharges OpenCode with orchestration, delegation, and multi-agent workflows - Skills system lets you load specialized behaviors on demand - Background agents run in parallel — research while you code - All those LLM models from your Copilot sub? Now they're working together as a team. 🐧 WSL (Windows Subsystem for Linux) - Full Linux dev environment without leaving Windows - Native filesystem performance, real shell, real tools - Your team on Mac/Linux? Doesn't matter — same toolchain. 🐮 Rancher Desktop - Docker-compatible, no Docker Desktop license headaches - Kubernetes built-in for local testing - Lightweight, open-source, enterprise-friendly The combo? For the price of a single GitHub Copilot subscription, you get an AI-powered, multi-model, container-ready, Linux-native dev environment running on Windows — with near-zero vendor lock-in. Compare that to: Cursor Pro + ChatGPT Plus + Claude Pro + Docker Desktop seats. Do the math. 💰 If your team is still stacking AI subscriptions, there's a smarter way. #OpenSource #DevTools #AI #WSL #DeveloperExperience #OpenCode #RancherDesktop #GitHubCopilot #LLM

𝗩𝗦 𝗖𝗼𝗱𝗲 𝗷𝘂𝘀𝘁 𝗴𝗼𝘁 𝗮 𝗾𝘂𝗶𝗲𝘁 𝗯𝘂𝘁 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝘂𝗽𝗴𝗿𝗮𝗱𝗲. VS Code 1.117 landed April 22 and the feature most enterprise orgs will care about is BYOK - Bring Your Own Key. If you are on Copilot Business or Enterprise, you can now connect your own model API keys directly into VS Code chat, with your admin setting the guardrails. ● 𝗕𝗬𝗢𝗞 - connect Anthropic, OpenAI, or other provider keys directly in VS Code; admins control availability via policy on GitHub.com; developers stay in the IDE they already use ● 𝗜𝗻𝗰𝗿𝗲𝗺𝗲𝗻𝘁𝗮𝗹 𝗿𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴 - chat responses stream block-by-block now, which noticeably reduces perceived wait time on longer outputs ● 𝗕𝘂𝗶𝗹𝘁-𝗶𝗻 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗖𝗵𝗮𝘁 - from 1.116 (April 15): Copilot Chat is now a built-in VS Code extension; new users no longer need to install anything to get started BYOK removes the hard dependency on GitHub's model choices. You can route to whichever model performs best on your codebase without switching IDEs or toolchains. What model would you connect first - and has model lock-in been a real barrier for your team's VS Code Copilot adoption? #VSCode #GitHubCopilot #DeveloperTools

🤖 One of GitHub's most interesting updates this week is happening in the CLI: GitHub Copilot CLI now supports BYOK and local models⚡ What that means: ▶️ teams can connect their own model provider ▶️ they can also run fully local models ▶️ GitHub-hosted routing is no longer the only option ▶️ authentication is optional when using your own provider Why this matters: ✅ more flexibility in model choice ✅ more control over LLM spend ✅ better fit for restricted or air-gapped environments ✅ easier alignment with enterprise infrastructure choices This is a meaningful step for teams that want the Copilot CLI experience, but with more control over how and where inference happens. #GitHub #GitHubCopilot #CLI #AI #DeveloperTools

Good to see GitHub adding more transparency to their status page! The new 'Degraded Performance' state is smart – much better to distinguish between a glitch and a full outage. Also, publishing per-service uptime metrics and separating out Copilot AI model issues specifically is super helpful for us devs. It's the clarity we need when things aren't 100%. 🙌 #GitHub #DevTransparency

STOP saying your team knows GitHub. Let’s be honest. If your team is only: → Pushing code → Creating pull requests → Merging branches That’s NOT “knowing GitHub.” That’s just… basic usage. Here’s what most teams are missing: ❌ No automation (everything manual) ❌ No AI usage (slow development) ❌ No security checks (risky deployments) ❌ No structured workflows (messy collaboration) 💡 Meanwhile, high-performing teams are: ✔ Automating everything with GitHub Actions ✔ Writing code faster using Copilot ✔ Catching vulnerabilities early ✔ Shipping faster with fewer errors 👉 Same tool. 👉 Completely different outcomes. At Evolvv, we help teams move from: “Just using GitHub” → to → “building high-performance engineering workflows.” 🔥 If your team is still at the basic level, you’re already behind. #Evolvv #GitHub #DevOps #AI #GitHubCopilot #Automation #SoftwareDevelopment #TechTeams #Upskilling #EngineeringLeadership