GitHub Copilot app for Beginners: Run several agents at once
Running multiple AI agents on the same project seems like pure chaos, with too many cooks in your development kitchen. But with the GitHub Copilot app, these agents work separately and don’t interfere with each other, allowing you to get more done in less time. Think of parallel agent sessions like a trip to the laundromat. You can start multiple loads of laundry at the same time, in their own machines. You can set each washer with its own settings, and it won’t impact the other loads. Most importantly, you don’t have to wait for one to finish before you can start another one. Let’s look at how it works. Agent sessions, Git worktrees, and context An agent session is a task you’ve given Copilot, start to finish. In the GitHub Copilot app, you can manage several sessions through the...
Best Alternatives to Github Copilot in 2026: Real Tools, Real Stats
Originally published at nlocoding.com 77% of developers admit: they ignore their AI assistant’s code suggestions at least once per day. (Source: Stack Overflow, 2026) $180MSpent on AI coding tools in Q1 2026 (Gartner) Why does this matter now? Copilot’s dominance is slipping. 41% of teams in 2026 use at least one non-GitHub code assistant. OpenAI’s price hikes, privacy questions, and frustrating hallucinations have thrown the door wide open. This isn’t about “picking a tool”—it’s about not getting left behind. Tabnine is the most widely adopted Copilot alternative in 2026 Tabnine holds 33% of the AI code completion market (IDC, 2026). Its $12/user/month pricing undercuts Copilot’s $19. It runs models locally, so your code never leaves your machine—critical for finance, health, and...
GitHub Copilot AI Credits vs Claude Code: The Real Math on What Your AI Coding Costs Now
Three months ago, almost every AI coding tool had the same deal: pay a flat monthly fee, use it until you hit a wall. That era is over. On June 1, 2026, GitHub flipped Copilot from counting requests to metering tokens, and the reaction was immediate and ugly. The GitHub community discussion announcing the change has 24 thumbs up and 958 thumbs down. Some developers reported their effective costs jumping 10x to 50x overnight because of which model they had selected. Meanwhile Claude Code never left the flat-rate model. It just quietly throttles you instead: a five-hour rolling usage window, a weekly cap, and since March, reduced limits during weekday peak hours. So which billing model actually costs you less? I spent an evening with GitHub's published rate sheets, Anthropic's plan limits,...
GitHub Copilot app for Beginners: Automate Dependabot pull request triage
I might be biased, but I think Dependabot is pretty amazing. It helps keep my projects up to date, ensuring I’m always using secure libraries. But because there’re frequently new vulnerabilities, there’re frequently new pull requests from Dependabot. Sometimes it’s a minor version bump. Sometimes it’s a major version upgrade. Sometimes everything will work just fine. And sometimes… well, every single developer has been caught by a breaking change. How can we best triage these pull requests? The work isn’t particularly difficult per se, but it certainly is repetitive. It’s the perfect task to offload to Copilot! With GitHub Copilot app automations, you can hand off that first round of review. Instead of manually inspecting every Dependabot pull request, you can create an automation that...
GitHub Copilot app for Beginners: Managing your work
This is the third post in our GitHub Copilot app for Beginners series. If you’re just joining us, check out, GitHub Copilot app for beginners: Getting started, where we introduced the app and how it helps you work across multiple agent sessions. Our second post goes deeper on working within a session. Here, we’ll look at how to keep all of the requests and work being done on a project organized in one place. If you’ve been following along in this series, you know that real development is rarely a straight line. You fix a bug here, review a pull request there, and chase down a new idea somewhere in between. As you continue to assign tasks to Copilot and create new pull requests, you’ll quickly find yourself with several proverbial balls in the air. Being able to...
AI-Generated GitHub Copilot “Autofix” Allowed Compromise of Snowflake's Jira
Article URL: https://www.wiz.io/blog/red-agent-snowflake-copilot-cicd-bug Comments URL: https://news.ycombinator.com/item?id=49331423 Points: 194 # Comments: 89
Local LLM on a 16GB Mac Mini: Replacing GitHub Copilot with Ollama + Qwen
I kept paying a monthly subscription for a cloud coding assistant while a 16GB M4 Mac mini sat on my desk idling most of the day. So I ran the obvious experiment: can a 16GB Mac mini run a coding assistant entirely offline — no code leaving the machine, no subscription — and is it actually usable for real work? Short answer: yes, with one hard constraint (RAM) and one soft one (context length). This article is the written version of the video above, with every command, config file, and benchmark number so you can reproduce it. Table of contents Why bother running locally The hardware constraint nobody mentions Step 1: Install Ollama Step 2: Pick a model that fits in 16GB Step 3: Run and verify Step 4: Wire it into VS Code Step 5: Tune Ollama for a 16GB box Benchmarks What it does well,...
Microsoft’s Clippy-like Mico character is no longer the face of Copilot
Mico is headed to Learn Live. | Image: Microsoft Microsoft Copilot will no longer show its emotive yellow blob, Mico, when you use the chatbot's voice mode. In a support page, Microsoft says it's going to move Mico to its Learn Live platform, where the avatar will have "more to react to," as reported earlier by GeekWire. Mico launched in Copilot's voice mode last October, with Microsoft AI CEO Mustafa Suleyman pitching the avatar as a way to give the chatbot an "identity." The blob would react to what you say in real-time, complete with facial expressions and animations. Mico joins the long list of virtual helpers that Microsoft has retired over the years, like Clippy, Cortana, and Rover … Read the full story at The Verge.
When Is GitHub Copilot Actually Worth the Subscription? A Break-Even Analysis
The honest answer: a paid Copilot tier pays for itself the moment it saves you more time per month than the subscription costs at your effective hourly rate — which, for most working developers, is a very low bar. The harder question is whether you specifically clear it, because Copilot's value depends heavily on the language you write, how much boilerplate your work involves, and whether the free tier already covers you. This post gives you a formula to run the math for your own situation instead of trusting a vendor's "10x productivity" slide. I've run Copilot daily across TypeScript, Python, and Go work for long enough to have a clear sense of where it earns its keep and where it quietly wastes your time. Let's make the decision numeric. What do you actually get at each tier? GitHub...
GitHub Copilot app for Beginners: Write your first prompt
Opening a new AI tool can feel a little like staring at a blank page. You know you want help with something, but figuring out exactly what to ask can be its own task. The good news is that you don’t need to write the perfect prompt to get started. A prompt is simply a description of what you want to accomplish. Start with what you know, give Copilot some context, and refine the request as you go. Let’s walk through what it looks like to start your first task in the GitHub Copilot app. Start with the right context Before you can ask Copilot to make a change, it needs something to work on. Agent sessions can be connected to a GitHub repository or a folder on your local machine, giving Copilot access to the code and files it needs for the task. From the GitHub Copilot app home...
Write your first prompt with the GitHub Copilot app
Opening a new AI tool can feel a little like staring at a blank page. You know you want help with something, but figuring out exactly what to ask can be its own task. The good news is that you don’t need to write the perfect prompt to get started. A prompt is simply a description of what you want to accomplish. Start with what you know, give Copilot some context, and refine the request as you go. Let’s walk through what it looks like to start your first task in the GitHub Copilot app. Start with the right context Before you can ask Copilot to make a change, it needs something to work on. Agent sessions can be connected to a GitHub repository or a folder on your local machine, giving Copilot access to the code and files it needs for the task. From the GitHub Copilot app home...
Using the GitHub Copilot SDK for Java
Java developers no longer have to rely on Java framework-specific approaches to drive AI from their enterprise apps. While it is true that Langchain4j empowered developers by disintermediating specific AI vendors, you still had a dependency on Langchain4j. And with Spring AI, well, of course you had a dependency on design choices made by Spring, if not on Spring itself. Now, GitHub Copilot SDK for Java is the first truly framework agnostic way to drive AI from Java. And with its BYOK support, GitHub Copilot SDK for Java is also AI vendor neutral. Even though it’s called GitHub Copilot SDK, you can use it with any direct model provider, such as OpenAI, Azure, Anthropic, or OpenAI-compatible endpoints, by passing a / with your own + (or bearer token). No Copilot subscription required....