Grok Build and Grok CLI Launch Next Week

More beginners are sharing how GitHub Copilot helped them ship apps faster than they expected. It’s not about the AI writing perfect code. It’s about boosting confidence to experiment and fix mistakes early. This trend shows the new norm: coding with AI as a teammate, not a crutch. If you haven’t tried Copilot, now’s a great time to see how it changes your workflow.

A few months ago, I started using GitHub Copilot, and it’s made writing code feel smoother and faster. It speeds up boilerplate code and offers smarter suggestions for functions. I usually pair it with VSCode and Playwright to test and ship features more quickly. One thing I’ve learned: don’t accept every suggestion without a careful check. Balancing AI help with manual reviews keeps my code reliable and clean. If you want to speed up your workflow but stay in control, try Copilot alongside tools like Cypress or Claude Code. How are you bringing AI into your coding routine? 🚀 #GitHubCopilot #AI #CodingLife #SoftwareEngineering #AIDrivenDevelopment

I opened VS Code today, typed nothing… and somehow still managed to “spend tokens.” For a second, I thought Copilot had developed trust issues. Turns out—it’s just very prepared. 😄 I went down a rabbit hole to understand what GitHub Copilot is actually doing behind the scenes, and this completely changed how I think about AI-assisted coding: Fresh sessions aren’t really “empty” Even before you type a single character, Copilot is already loading context like: System prompt + tool definitions Your workspace file structure Instruction files (.instructions.md) User memory, skills, and agent registries So yeah… your “blank editor” isn’t blank at all. Here’s the interesting part 👇 You actually have control over how much gets loaded. Tweak the applyTo frontmatter to limit which instruction files auto-load Or convert them into .prompt.md files so they only activate when you call them Result? Less unnecessary context → fewer tokens used → faster, more focused suggestions. It’s a tiny config change, but in a large enterprise codebase, this can make a serious difference in performance and cost. Sometimes productivity isn’t about adding more tools— it’s about understanding what your tools are already doing. #GitHubCopilot #AI #DeveloperProductivity #VSCode #CodingTips #SoftwareEngineering

ralphctl 0.3.1 shipped. It’s a small CLI I’ve been building to make Claude Code and GitHub Copilot actually usable for long coding sprints: plan the work, run it across repos, review it, move on. What’s new across 0.3.0 → 0.3.1: • Every workflow is now a composable pipeline. easier to extend, harder to break. • Full Ink-based TUI with a live dashboard that ticks as the agent works • Every task gets an independent AI code review after it lands • Inline preview when approving refined requirements • Multi-line markdown editor for end-of-sprint feedback • Smarter task-sizing, coherence over line count 👉🏻 npm i -g ralphctl would love to hear what you think. https://lnkd.in/eaKu4yRm #ClaudeCode #Copilot #DeveloperTools

For LeadDev, I dove into the “slot machine” effect of agentic coding that has developers feeling addicted, losing sleep, and getting lost in their projects. “I would always stay up late at night if I felt like I was really onto something new,” one developer told me. “But now it feels like I’m onto something new every day.” Read it here: https://lnkd.in/eFk-KQzb

GitHub Copilot CLI Just Unleashed! How Does It Stack Up Against Claude? The news is out: GitHub Copilot CLI is now generally available! This is HUGE for streamlining developer workflows. As we embrace these AI-powered coding assistants, it's natural to wonder how different models like Claude integrate and compare. While Copilot CLI focuses on command-line mastery, Claude shines in its ability to understand context and generate complex, nuanced text. Think of Claude as your brainstorming partner for documentation, explaining code concepts, or even helping craft better commit messages. Could Claude's strength in understanding natural language complement Copilot CLI's efficiency in command-line tasks? Perhaps an integration in the future? What are your initial thoughts on Copilot CLI? How do you see tools like Claude fitting into the evolving landscape of AI-assisted development? Share your perspectives below! 👇 #GitHubCopilot #ClaudeAI #AI #ArtificialIntelligence #DeveloperTools #Coding #Programming #CLI #Innovation #Tech Read Full Article Here: https://lnkd.in/gMnd5ds5

AI has changed the way I work. It’s like having a colleague I can delegate tedious tasks to. Today, while I was in my daily standup, GitHub Copilot was busy on my second monitor. After upgrading pydantic, FastAPI, and TortoiseORM yesterday (and facing a wave of breaking changes), I tasked Copilot with adding types, fixing types and fixing the breaking changes across my Python codebase. It was fascinating to watch it reason and work: trying fixes, mitigating breaking changes, and even rolling back some changes when they caused new issues. By the time the meeting ended, Copilot reported with "Nice mission — I went through the whole backend and fixed typing issues project-wide (not just the initially visible ones)." and gave me a full breakdown of all the changes it had done. Copilot had reduced 296 typing problems down to 0, changing 49 files in the process. What would have taken multiple hours of manual labour was now just a quick code review and test run. AI is not here to replace me, it's here to help me out and allow me to focus on the bigger and more important tasks. The prompt that I used: "Check all the python typing problems in the backend folder and fix them. You can use the information in the "Problems" tab of VSCode." #copilot #python #fullstack #ai #development

Is GitHub Copilot turning us into code-generating monkeys? It's the debate raging through dev circles: this AI pair programmer, powerful as it is, might be actively eroding our core skills. Here's my take: - Copilot excels at boilerplate, repetitive tasks, and even suggesting complex algorithms. This is undeniable. - But are we understanding the code it generates, or just accepting it? True debugging and problem-solving skills atrophy if we rely on it blindly. - The risk is becoming an "autocomplete jockey" rather than a deeply analytical engineer. We might lose the intuition that comes from wrestling with problems ourselves. - It's a tool, not a replacement for fundamental knowledge. Like a calculator, it's great for speed, but you still need to know math. The danger isn't Copilot itself, but how we choose to use it. It should augment our abilities, not become a crutch that prevents growth. Let's be mindful. Save this if you're wrestling with this question. Follow for more unfiltered tech takes. #AIinTech #DeveloperLife #SoftwareEngineering #FutureOfCode

I use Cursor, Claude, and GitHub Copilot daily. After shipping 30+ production apps with all three, here's how I actually split them: Cursor → navigating large codebases, cross-file refactoring Claude → rubber duck debugging, sanity checks Copilot → boilerplate, nothing more The architecture decisions, the trade-offs, the "why are we building this" — that's still experience talking, not a prompt. AI makes you faster. It doesn't make you better. That part is still on you. Which tools are in your stack? Where do you draw the line? #webdevelopment #ai #typescript #softwareengineering

If you've been waiting for #GenerativePages to be available outside the US, this one's for you! External tool support for gen pages just went GA, and for the first time, it's available in all public clouds worldwide. You can use #GitHubCopilot, or whatever AI coding tool you prefer to build pages and deploy to model-driven apps. I recorded a walkthrough of the whole thing so you can see what it actually looks like. Connect to your environment with PAC CLI, describe what you want, and watch it build cool things. 📚Docs : aka.ms/genpages-toolchoice 🤖Skills: https://lnkd.in/ere5kjSQ #PowerPlatform #GitHubCopilot #VSCode #VibeCoding