GitHub Copilot CLI Fails to Fix Code Issues

If you are new to the GitHub Copilot CLI, this video is for you! I know the terminal can feel like a learning curve (it was for me), but adding Copilot changes everything. You no longer need to memorize complex syntax—you just ask for what you want in plain English, and it does not even need to be spelled correctly! In my newest tutorial, I strip away the complexity and focus purely on getting you up and running from scratch. Here is exactly what we cover to get you started: 🔹 What the Copilot CLI actually is (and how it differs from regular Copilot Chat) 🔹 A painless, step-by-step installation guide using PowerShell 🔹 How to seamlessly integrate it right into your VS Code terminal 🔹 The core commands you need to start navigating and executing tasks with AI 🔹 Create and use your first Agent for a .NET code migration Once we have the basics down, I even give you a sneak peek into some advanced features—like Custom Agents and YOLO mode—so you can see what's possible once you get comfortable. Ready to stop treating your terminal like a typewriter and let AI do the heavy lifting? Watch the complete beginner-friendly guide here: https://lnkd.in/gkkFumqs #GitHubCopilot #GitHubCopilotCLI #CopilotCLI #VSCode #LogicAppsAviators

A few months ago, I raised some cain about how claude code was overhyped. And more specifically, how I didn't really understand it's value compared to Github copilot's value at a fraction of the cost - Copilot is $40/mo vs Claude's $200/mo. Now I use both - here is why: I figured that Github would have to correct their pricing model eventually and that day has come. In the last week or two, they have made immediate corrections to reduce the use of Claude, especially Opus 4.7 and there are more changes on the way. Stability in the last two weeks has also been pretty shotty with multiple requests failing. Here is how / why I use them: - All my production work uses AWS Bedrock where I have the ability to switch model providers to manage cost effectively based on the task. I like having that for local dev as well, without paying AWS prices. When I am testing AI functionality for an app locally, I run the Copilot SDK which works wonderfully. - Simple tasks and generic questions I need answered can be served perfectly fine with a smaller model and don't need to consume usage with claude. And I don't need to leave vs code to get the answer I need. - Having two tool options limits the risk of being blocked by an outage - Anthropic's features on design & cowork expand the use of the tool outside of the codebases I work in. - Custom agent harnesses aren't really that much better than claude or copilot at this point with all the features they have released. There are probably more reasons, but I'm two weeks into this new workflow and I feel I've never been more productive / fast context shifting in my life.

GitHub have rate-limited users of Copilot. Making it impossible for us to use any reasoning premium models after some (unknown) point. Turns Copilot into a coder with the skills of a 4-yearold. Useless. BUT, we still have to pay premium-request cost for it (and it takes "10x as many requests" to accomplish the same result, but with much lower quality). This has resulted in massive complaints over the weekend (the forums are absolutely filled with rants). It also resulted in many (me included) taking a serious look at how to cut ties with Github, and turning our attention to Anthropic directly (it is also the ethical choice, right?) to see how we can get that to work instead. After all, it is the Anthropic models we want, and not Github (they are just a tool for us). GitHub refusing to provide any information about the rate limits also begs the question if it is time for EU to step in and start regulating the transparency and control these rate-limits. We will see what happens when they are back to work on Monday, but the damage is pretty much done.

Get GitHub Copilot directly in your terminal. It takes just seconds to get Copilot CLI running on your machine: 📦 Install via npm, Homebrew, or WinGet 🔐 Authenticate your GitHub account 🚀 Start coding No IDE required. No plugins. Just your terminal and Copilot — ready to code, debug, and explore your codebase from the command line. Credit: @GitHub #GitHub #Copilot #CopilotCLI #AI #DeveloperTools #Terminal #Productivity

GitHub Copilot is pausing new individual sign-ups and tightening usage limits on Pro plans. The short version: agentic workflows changed the math. Long-running, parallelized sessions now regularly consume more than a monthly Pro plan can absorb. A handful of requests can exceed what the plan costs. A few things worth knowing: • Pro+ plans get 5X the limits of Pro • Opus models removed from Pro (still in Pro+) • VS Code and Copilot CLI now show usage when you're approaching a limit • If you're on Pro and these changes don't work for you, GitHub will refund April usage if you cancel by May 20 For teams building heavily agent-driven workflows, this is the per-seat model catching up to how people actually use these tools now. https://lnkd.in/e-W8WyNR

S08E17 - Context Is Everything: Getting the Most from GitHub Copilot with Joydip Kanjilal Software architect and Microsoft MVP Joydip Kanjilal joins Jamie to discuss GitHub Copilot and AI-assisted development — covering what Copilot actually is, why context is everything when prompting it, and the governance and training considerations for teams adopting it.

Most developers think GitHub Copilot is underperforming. They're wrong. Their prompts are underperforming. After studying GitHub's official documentation and testing dozens of approaches, I've identified 7 core rules that completely transform the quality of Copilot's output. These aren't hacks or workarounds — they're fundamentals that most developers skip entirely. Here's a quick summary: - Start general, then get specific — give Copilot the goal before the constraints - Use examples — show expected inputs and outputs; unit tests work brilliantly here - Break down complex tasks — one focused step at a time beats one giant request - Eliminate ambiguity — "this function" beats "this" every single time - Control your context — open relevant files, close irrelevant ones - Iterate — treat it as a conversation, not a one-shot command - Reset your thread — stale chat history actively hurts response quality - And if you manage a team of developers, there's one more thing worth knowing: Prompt Files. This feature lets you save prompts as reusable .md files and commit them directly to your repository. Your entire team runs the same prompts, consistently. Code reviews, test generation, API documentation — all standardized. The developers getting the most value from AI coding tools aren't the ones with the best tools. They're the ones who've learned to communicate with them. This skill is becoming a genuine competitive advantage. Now is the time to build it. 🎥 I put together a full video walking through all 7 rules + a hands-on demo of Prompt Files. Link in the comments below.

🚀 New blog! Did you know you can use your OpenCode Go subscription with GitHub Copilot CLI? By configuring four environment variables, you can bring your own key and use models like Qwen, GLM, and Kimi directly from your terminal. In this blog, you will learn how you can bring your own keys (BYOK) to GitHub Copilot CLI, use models outside of the GitHub Copilot subscription, and make use of autopilot mode with models that are not available by default in GitHub Copilot. 🔗 Read the blog here: https://lnkd.in/e2-ah3TF Enjoy the read! #githubcopilot #githubcopilotcli #opencode #MVPBuzz #cloudmarathoner

https://lnkd.in/dBNCX-dW GitHub Copilot is cracking under the influx of vibe coders😐 Due to the company miscalculating the price, capacity, and demand — Copilot is changing its policy, tightening the screws: — They're suspending new subscriptions to Pro, Pro+, and Student to focus all efforts on effectively serving existing customers; — They're introducing stricter limits for users. If it's not enough, you'll be upgraded to Pro+; — For convenience, they've even added a limit-approaching indicator in VS Code and Copilot CLI; — And they've removed Opus from Pro altogether.In Pro+, only the brand-new Opus 4.7 remains, while all the old ones are tossed aside; — And to top it off, GitHub has quietly started collecting data from the CLI. Ostensibly, to see how various features are used in practice. It's not just Copilot in crisis. Anthropic is testing the cancellation of Claude Code in Pro plans, as there's simply not enough capacity for everything. The bubble has inflated to its limit

I finally integrated GitHub Copilot CLI into my workflow, and the "context switching" tax is officially gone. Instead of jumping to a browser to remember how to undo a commit or filter logs by date, I just type: gh copilot suggest "undo my last 3 commits but keep the changes" Why it’s a win: Natural Language to Bash: It translates what I want to do into executable commands. Explanation Mode: It doesn't just give code; it explains why the flags are used. Shell Integration: Works right inside my existing terminal setup. It’s like having a Senior Dev sitting right next to my prompt. Have you moved your AI workflow into the CLI yet, or are you still a "Tab to Browser" person? GitHub #GitHub #GitHubCopilot #CLI #SoftwareEngineering #DeveloperTools #CodingLife