From MCP to 24 GitHub stars: My AI bootcamp journey

𝗧𝗵𝗲 𝗰𝗼𝗱𝗶𝗻𝗴 𝗳𝗹𝗼𝘄 𝗲𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱-𝟮𝟬𝟮𝟲 Most devs in 2025 will lose time fixing AI-generated bugs If you've been experimenting with AI coding agents like Claude Code, Cursor CLI, or Gemini, you've probably noticed the same thing I did: 👉 They generate code fast, but not always production-ready. And AI tools can create even more technical dept for you, if you don't carefully review every line they write. That's where I've been using CodeRabbit CLI lately. And honestly, it feels like the missing piece. Here's how it integrated in my workflow: 1️⃣ I write or generate code in the terminal 2️⃣ Before committing, I run a CodeRabbit review right there in the CLI 3️⃣ It flags logical errors, code smells, even missing tests — instantly. 4️⃣ If I want, I can hand those suggestions back to my AI agent to fix them automatically. No context switching. No waiting for PR reviews. Just code → review → commit. All locally from your CLI. The best part? ➡️ It works with any CLI agent (Claude, Cursor, Gemini, Codex, etc.) ➡️ It reviews uncommitted changes (before you commit to Git) ➡️ It's free to use (with rate limits) I can see this becoming essential as AI-generated code becomes the norm. Because let's be honest: generating code is easy. Shipping reliable code is hard. CodeRabbit CLI is still in early access (Mac is available, Windows and Linux are coming soon), but it's already changing how I review code in my terminal. 👉 Install it for free in 30 seconds: 𝚌𝚞𝚛𝚕 -𝚏𝚜𝚂𝙻 𝚑𝚝𝚝𝚙𝚜://𝚌𝚕𝚒.𝚌𝚘𝚍𝚎𝚛𝚊𝚋𝚋𝚒𝚝.𝚊𝚒/𝚒𝚗𝚜𝚝𝚊𝚕𝚕.𝚜𝚑 | 𝚜𝚑 P.S.: CodeRabbit has reviewed over 10 million Pull Requests, installed on 2 million repos and is the most installed AI app on GitHub Marketplace (85k). Get started here for free: ↳ https://lnkd.in/g_bVxNYa Have you already tried CodeRabbit? — ♻️ Repost to help others improve their code reviews ➕ Follow me ( Anton Martyniuk ) for more dev tips Thanks to CodeRabbit for collaboration with me on this post

GitHub just open-sourced Spec Kit. It is a toolkit that flips the workflow from vibe-coding to spec-driven development. Instead of guessing at intent, the coding agent now follows a structured process. Here is how it works: → Specify: You describe the user journey, the outcomes, and the problem you are solving. The AI turns this into a living spec. → Plan: You give constraints—stack, architecture, compliance needs. The AI generates a detailed technical plan. → Tasks: The AI breaks the plan into concrete, testable steps you can review in isolation. → Implement: The coding agent writes focused code, while you verify and refine at each checkpoint. This process keeps AI on track and keeps humans in control. The benefits go far beyond speed: → Alignment between product, engineering, and QA. → Less rework because intent is captured up front. → Specs that evolve as your project grows, instead of static docs nobody reads. #SpecKit shines in three scenarios: starting new projects, adding features to complex systems, and modernizing legacy codebases. The real shift is philosophical. We are moving from code as the source of truth to intent as the source of truth. And now, for the first time, intent can be executed directly by AI. That is how the next generation of serious software will be built. Official Github Repo: https://lnkd.in/dcajEeHb

💡#Every_new_tool_feels_like_a_threat — until it becomes #our_strength. I’ve been working professionally as a developer for 5 years, but my journey with code started back in 2012 as a student who simply loved logic and problem-solving. 🖥️ Back when many of us started, we didn’t have powerful IDEs. Debugging meant scanning endless lines of code, and there was no autocomplete to save us. Yet, that didn’t make us any less of a developer — we adapted and delivered. 🔗 Then came Git & version control. At first, it felt complicated. Today, we can’t imagine collaboration without it. ⚡ Frameworks and libraries arrived. Some feared they’d “replace” core coding, but instead, they helped us build faster and smarter. 🤖 Now, AI is the new tool on the table. Some see it as a threat. I see it as an opportunity. 🤖 AI can be your creative partner, your reviewer, your accelerator. But just like IDEs, Git, and frameworks — it still needs a developer’s brain to guide it. 🚀 Don’t fear AI. Learn it. Use it. Let it amplify your skills. Because the best developers are not those with the fanciest tools, but those who know how to use them wisely. #AIForDevelopers #SoftwareDevelopment #AndroidDeveloper #CodingLife #FutureOfWork #KeepLearning #GrowthMindset

🚀 5 Simple Coding Hacks Every Developer Should Know! Here are 5 quick tips that can instantly boost your productivity 👇 1️⃣ Use AI code completion tools (like GitHub Copilot) — it saves hours. 2️⃣ Learn keyboard shortcuts in your IDE — small habit, big impact. 3️⃣ Master browser dev tools — debug faster and smarter. 4️⃣ Automate repetitive tasks with scripts or npm commands. 5️⃣ Keep reusable snippets — stop writing the same code twice. 💡 Bonus: Set up a personal “snippet library” in VS Code to supercharge your workflow. What’s your favorite coding hack? Comment below 👇 #coding #developers #webdevelopment #programming #tech

Say hello to GitHub Spark – an AI-powered full-stack development tool. Turn a single prompt into production-ready apps with built-in GitHub version control, branches, commits, and collaboration. Edit UI visually, invite teammates, and deploy instantly—all in your browser. 👉 Follow us for more updates in Tech and GenAI. #GitHub #GitHubSpark #AI #FullStackDevelopment #WebDevelopment #Coding #Simplilearn #TechInnovation

💻 GitHub Copilot Explained GitHub Copilot is an AI-powered coding assistant that helps developers write code faster and with fewer errors. Built on advanced language models, it integrates directly with popular IDEs like VS Code, JetBrains, and Neovim. 🔹 How It Works Context-aware suggestions – Copilot reads your code and instantly suggests the next line or entire functions. Code generation & refactoring – It can draft boilerplate code or rewrite sections for clarity and performance. Multi-language support – Works with dozens of programming languages, from Python and JavaScript to Go and C#. 🔹 Why Developers Use It ✅ Speeds up development by automating repetitive tasks ✅ Reduces bugs with real-time fixes and test suggestions ✅ Lets teams focus on architecture and problem-solving instead of boilerplate code ✨ Bottom line: GitHub Copilot is like having an AI pair programmer — always ready to help you code smarter, cleaner, and faster. 🚀 #GitHubCopilot #AI #Coding #SoftwareDevelopment #ArtificialIntelligence #Developers #Programming

💡 3 Small Habits That Make You a Better Developer Becoming a better developer isn’t just about learning new frameworks — it’s about building consistent habits. Here are three simple ones you can start today: 1️⃣ Read Code Daily – Spend 15–30 mins reading open-source projects or teammates’ code. It improves readability and exposes you to different patterns. 2️⃣ Write Meaningful Comments – Don’t just describe what the code does; explain why it exists. Future you (and your team) will thank you. 3️⃣ Automate Repetitive Tasks – Small scripts, snippets, or GitHub Actions can save hours each week. Invest time once, save forever. Remember: small habits compound. Consistency beats intensity. #Developers #CodingTips #Productivity #SoftwareEngineering #Programming

“𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐢𝐬𝐧’𝐭 𝐚𝐛𝐨𝐮𝐭 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰; 𝐢𝐭’𝐬 𝐚𝐛𝐨𝐮𝐭 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐟𝐢𝐠𝐮𝐫𝐞 𝐨𝐮𝐭.” — 𝐂𝐡𝐫𝐢𝐬 𝐏𝐢𝐧𝐞 This quote always hits home! 💭 In development, there’s this myth that you need to “know everything” before you can start. But the truth is: 🔷 𝗡𝗼 𝗼𝗻𝗲 𝗸𝗻𝗼𝘄𝘀 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴. 🔷 𝗡𝗼𝘁 𝗲𝘃𝗲𝗻 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁. What sets great developers apart isn’t endless knowledge, 𝗶𝘁’𝘀 𝗰𝘂𝗿𝗶𝗼𝘀𝗶𝘁𝘆. It’s the ability to sit with an unfamiliar problem: 🔵 Break it down 🔵 Research 🔵 Test 🔵 Fail 🔵 Try again 🔵 Until it finally clicks... Every bug fixed, every feature shipped, every system built is proof that we figured something out that once felt impossible. 💻✨ So if you’re stuck, don’t give up. 🌟 Stay curious. 🌟 Keep building. 🌟 Keep figuring it out. #ProblemSolvers #DeveloperMindset #FullStackEngineer #CodeLife #CreateWithCode #NeverStopLearning #BuildTheFuture #TechInspiration #KeepLearning #DevelopersJourney

GitHub Copilot is not just autocomplete. As April Yoho puts it... it has evolved into a coding partner that helps engineers build smarter, prompt better, and deploy faster. What makes this shift so important is not the tool itself, but the skill of using it effectively. Prompting is not magic. 🪄 It is a discipline. It takes practice to move from a passive user to a true Copilot power user. That is why we collaborated on updating the Mastering GitHub Copilot for Paired Programming curriculum. This free, hands-on workshop that teaches developers how to: 1️⃣ Prompt with precision 2️⃣ Tackle real-world messy codebases 3️⃣ Modernize legacy projects 4️⃣ Deploy confidently with AI at your side The message is clear: AI will not replace engineers but can empower them to shape the future of software development. If you are ready to level up your workflow and truly collaborate with GitHub Copilot, check out the workshop today. 👉 https://lnkd.in/gkr8MfS2 #AI #GitHubCopilot #SoftwareEngineering #PromptEngineering #Developers

As full time beneficiary, I can wholeheartedly recommend anyone to follow these series to unlock the true power of the ai-assisted. It goes way beyond just coding language. It does need some getting used-to and despite few quirks, I’ve been using it across the board- from #terraform to #kubernetes and recently to review and enrich technical specifications via the #speckit - it’s all there!