Forget cold DMs. If you want to get noticed by engineers at top companies, go to their GitHub. 🛠️ Contributing to Open Source is the ultimate "proof of work." - Find a "good first issue." - Fix a bug or improve the documentation. - Submit a clean, well-documented Pull Request. Suddenly, senior engineers are reviewing *your* code. That’s networking that actually works. At KodeMaster AI, we help you build projects in your own editor and push to Git: just like the pros. Start building your narrative today. 📈 #OpenSource #Coding #SoftwareEngineering #CareerGrowth #KodeMasterAI
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Most people pick the wrong AI tool for coding — not because of features, but because of context window limits. We just published our deep-dive: Cursor vs GitHub Copilot 2026 Cursor handles entire codebases (200K+ token context). Copilot lives inside your IDE and requires zero setup. The difference in day-to-day workflow is bigger than most reviews admit. Full breakdown on pricing, autocomplete quality, and which one wins for solo devs vs enterprise teams: https://lnkd.in/d9UkyczX #AITools #Coding #DeveloperTools #Cursor #GitHubCopilot
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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
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AI coding assistants are evolving faster than ever! 🚀 I just came across this incredible repository: Antigravity Awesome Skills. It’s a curated collection of over 954+ agentic skills designed to supercharge tools like Claude Code, Gemini CLI, Cursor, and GitHub Copilot. Whether you're building a full-stack digital agency or just want to automate your dev workflow, these battle-tested skills are a game changer. 💻✨ Check out the support for: 🔹 Claude Code & Gemini CLI 🔹 GitHub Copilot & Cursor 🔹 Codex CLI & more! Time to level up the coding game. 🛠️ #AI #Coding #SoftwareDevelopment #GenerativeAI #GitHub #Programming #ClaudeAI #GeminiAI #CursorAI #TechTrends #OpenSource #DeveloperTools
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AI coding assistants are evolving faster than ever! 🚀 I just came across this incredible repository: Antigravity Awesome Skills. It’s a curated collection of over 954+ agentic skills designed to supercharge tools like Claude Code, Gemini CLI, Cursor, and GitHub Copilot. Whether you're building a full-stack digital agency or just want to automate your dev workflow, these battle-tested skills are a game changer. 💻✨ Check out the support for: 🔹 Claude Code & Gemini CLI 🔹 GitHub Copilot & Cursor 🔹 Codex CLI & more! Time to level up the coding game. 🛠️ #AI #Coding #SoftwareDevelopment #GenerativeAI #GitHub #Programming #ClaudeAI #GeminiAI #CursorAI #TechTrends #OpenSource #DeveloperTools
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Most developers still switch contexts to push code, but Cursor IDE changes the entire workflow. Using AI agents as teammates means you can handle version control directly where you build. You can push code and create PRs without ever leaving your editor. This is what agentic coding looks like in practice. Less time managing git commands and more time shipping features. Try integrating this workflow into your next project to see how fast you can ship. #vibecoding #agenticcoding #aicoding #cursoride #shipfast
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A lot of people are drawing the wrong conclusion about AI and software engineering. With tools like GitHub Copilot and Claude generating code faster than ever, it can feel like coding itself is becoming less valuable. But that’s not really the case. What’s changing is where the value sits. Writing code is getting cheaper. Making good decisions is not. The hard part has never just been syntax. It’s deciding what to build, why it should be built that way, what trade-offs to make, and how the system behaves under failure. That’s where seniority lives! And while systems thinking matters more than ever, it’s not enough on its own. Real impact comes from combining strong thinking with solid execution. That’s the shift. Not that coding is dead, but that the bar for impact has moved. #SoftwareEngineering #SystemDesign #AI #BackendEngineering #CareerGrowth
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95% of developers now use AI coding tools weekly. But the ones shipping the most aren't loyal to just one. This 27-slide breakdown covers Claude Code, Cursor, and GitHub Copilot, what each actually does, who it's built for, pricing, and the real comparison tables most people skip. The takeaway that matters: it's not about picking a winner. It's about stacking the right tool for the right task. We didn't create this, full credit goes to the original author (if you know who made it, tag them below). Save it. Share it with your team. #AICodingTools #ClaudeCode #Cursor #GitHubCopilot #DeveloperTools #MLEngineering #AITools #SoftwareEngineering #DevTools2026 #AIDevelopment
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I just completed Claude Code in Action by Anthropic, and my biggest takeaway is this: Claude Code is not “chat for code.” It is a workbench for engineers. Coding skills are not disappearing. The best engineers will simply ship better, faster, and with stronger leverage. That matters because it does not replace core coding skills. Python, debugging, architecture, testing, and engineering judgment are not going away. In fact, they matter even more. What changes is the way we ship: · faster iteration · stronger tool use · tighter GitHub workflows · better guardrails through tests, hooks, and reviews What stood out to me is how strong the Claude model family is at understanding tools and using them effectively to complete engineering tasks end to end. A few use cases I found especially powerful: · Code optimization: identify hotspots, suggest refactors, validate with benchmarks/tests · Data analysis: move from exploration to reproducible scripts and production-ready pipelines · UI styling: iterate faster while maintaining standards · GitHub integration: cleaner PRs, meaningful commits, reviewer-friendly summaries · Claude SDK + hooks: build internal agents with governance and automated guardrails My biggest learning: The future is not “AI writes code for me.” It is engineers using AI to ship better code, faster, with discipline. #claudecodeinaction #claude #agents #learning #betterengineers Anthropic
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Claude Code 101 course — and it's a game changer. Not long ago, building real software without a coding background felt out of reach. That's no longer the case. Claude Code 101 (available free on Anthropic Skilljar platform and on LinkedIn Learning) walks you through everything from terminal basics to AI-assisted development workflows and it's designed for both beginners AND experienced engineers curious about agentic coding. Here's what makes it genuinely useful: 🔧 Real use, not toy examples You learn to initialize projects, control what Claude can read and do, set up GitHub integration for automated PR reviews, and build guardrails into your workflow. 🤖 Claude Code isn't just autocomplete It's a full AI agent that reads your files, edits code, runs commands, works with Git, and iterates autonomously until the task is done — all from the terminal. 📈 The results speak for themselves Developers report up to 3x efficiency gains and 40% faster project delivery after adopting AI-assisted coding workflows. 🌐 MCP servers, plugins, and advanced customization The course doesn't stop at basics. You also explore Model Context Protocol servers, plugins, and how to steer multi-step AI workflows responsibly. Whether you're a developer who hasn't tried AI coding agents yet, or someone with ideas and no coding background, this course gives you the confidence to turn prompts into real products. Check it out: https://lnkd.in/dvexYqYj #ClaudeCode #AI #ArtificialIntelligence #AITools #CodingWithAI #Anthropic #DeveloperTools #FutureOfWork #LearningAndDevelopment #TechSkills #AIAgents #NoCode #SoftwareDevelopment #Upskilling #Productivity
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When I said we lived in an AI 𝗯𝘂𝗯𝗯𝗹𝗲, nobody believed me. The 𝗱𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝗰 manifesto was saying: “everybody can code, everybody should code.” Yesterday, GitHub paused new sign-ups for GitHub Copilot Pro, Pro+, and Student plans. Also planned to increase the fee on AI consumption. We’re using resources out of a marketing program and an 𝗶𝗱𝗲𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 one. It’s a subsidized marketing with 𝗰𝗵𝗲𝗮𝗽 tokens to 𝗵𝗼𝗼𝗸 users moving to a sustainable infrastructure or real-world 𝗽𝗿𝗶𝗰𝗶𝗻𝗴. The only way to survive is using local models as a "bridge" or a "pre-processor" for giants like Gemini and Claude, and the only 𝗹𝗼𝗴𝗶𝗰𝗮𝗹 move to avoid going 𝗯𝗿𝗼𝗸𝗲 while staying productive. For instance, models like Context7, an open-source Model Context Protocol (MCP) server developed by Upstash, provide AI coding 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 with real-time, up-to-date documentation for programming libraries and frameworks. It addresses a critical problem: AI models often have outdated knowledge about software libraries or hallucinate deprecated APIs, leading to incorrect code suggestions. See how to wire into 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗖𝗟I, with the container booting autonomously every time the terminal opens. https://lnkd.in/dEGvAauq #AICoding #MCP #GitHubCopilot #Upstash #Context7 #LocalAI #DevTools #OpenSource #SoftwareArchitecture #CodingBubble #LLM #TechStrategy
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