Master AI-Powered Software Development with GitHub Copilot and More

A comprehensive tutorial by freeCodeCamp.org that provides a deep dive into modern AI-assisted software development. It covers a range of tools and workflows designed to boost developer productivity while maintaining code quality. https://lnkd.in/d6yXQshq

Perfect weekend learning idea 🔥 FreeCodeCamp just released a solid course on AI-assisted coding — covering tools like OpenClaw, GitHub Copilot, Claude Code, and CodeRabbit. It’s a great way to see how developers are actually combining AI tools in real workflows 👀 Definitely worth checking out! Source 🔗: https://lnkd.in/e9q_NPNH #AI #ArtificialIntelligence #Coding #Programming #WebDevelopment #JavaScript #HTML #Developers #SoftwareDevelopment #LearnToCode #Tech #CodingLife #DevTools #MachineLearning #AItools #Productivity #100DaysOfCode #CodeNewbie #DevCommunity #TechEducation

GitHub Copilot Coding Agents are reshaping real sprint workflows. This is not the old autocomplete story. This is a look at what happens when an agent can take an issue, write the code, run the tests, and open the pull request. If you are curious about how agentic workflows actually work in practice or what this means for the future of engineering, you can read it here: https://zurl.co/KLCsB #GithubCopilotCLI

🛡️ "In Git We Trust" We're kicking off the useblocks X-as-Code Webinar Series - in collaboration with GitHub - next week, April 22nd. Still managing engineering artefacts outside Git? Then this is for you. The shift toward X-as-Code is accelerating, especially in safety-critical industries. And it starts with the fundamentals. 🚀 The Series Premiere: Arnaud Riess, a pioneer of X-as-Code at a global automotive Tier-1, opens the series with: "X-as-Code Foundations - In Git We Trust" What we’re covering: 🔹 Why document-centric engineering is failing to scale. 🔹 Treating requirements, architecture, and compliance as version-controlled assets. 🔹 Why this approach is the "secret sauce" for AI readiness. 🔹 Leveraging open-source foundations like Sphinx-Needs. No prior experience required. Structured content + live Q&A. All registrants receive slides and recording. 📅 When: April 22nd | 4 PM CET 📍 Where: Live Webinar (+ Recording for all registrants) Registration link in the first comment. #useblocks #XasCode #SpecDrivenDevelopment #GitHub #SafetyCritical #OpenSource #SphinxNeeds #AutomotiveSoftware

🚀 freeCodeCamp Just Dropped a Must-Watch Video on AI Coding Tools It walks through how tools like GitHub Copilot, Claude Code, OpenClaw, CodeRabbit, and Gemini CLI are actually being used in real workflows not just hype. 🎥 Watch here: https://lnkd.in/gfxp5xt6 Feels like we’re quickly moving from “AI assistance” to “AI collaboration” in day-to-day development. Curious to hear — are you already using any of these tools regularly? #AI #Developers #Coding #Productivity

This is mindblowing! 🤯 freeCodeCamp just dropped another full course covering the entire AI-assisted development stack. And as a QA engineer obsessed with AI automation, this one hit different. Here's what's inside: → The fundamentals that actually matter. Tokens, context windows, and why hallucinations are the most dangerous thing about trusting AI blindly. Before touching any tool, you need to understand why the AI can be confidently wrong. → GitHub Copilot — the 3 modes most devs ignore. Ask (learn and explore), Edit (refactor existing code), and Agent (build a full REST API autonomously). Most people only use one. The Agent mode alone is worth the watch. → CodeRabbit for automated PR reviews. It scans for critical bugs, security vulnerabilities, and code quality issues — directly integrated into GitHub. For QA engineers, this is a game changer for shift-left testing. → Claude Code + Gemini CLI in the terminal. Not for quick completions — for architectural discussions, large-scale refactoring, and complex multi-file reasoning. This is where the real leverage is. → OpenClaw for orchestrating AI workflows. Background task automation, cron jobs, proactive dev assistance. Open source. This is the piece most tutorials skip entirely. → MCP — giving AI real-world tools. Model Context Protocol explained practically, not theoretically. The golden rule from the whole video: Prompt quality = output quality. Input parameters, types, expected output format, style guidelines. Vague prompts get vague code. Garbage in, garbage out, even with frontier models. The developers who master orchestrating these tools together won't just be more productive. They'll be in a different league entirely. Full video link: https://lnkd.in/dDn5-82n #AI #SoftwareDevelopment #DeveloperProductivity #ClaudeCode #GitHubCopilot #AITools #MCP #QAAutomation #SDET #MachineLearning #FutureOfWork

Content creation just got a whole lot smoother for the technical crowd. You can now embed GitHub Gists directly into your Step-by-Step Labs! ✅ Clean syntax highlighting ✅ Real-time code updates ✅ Professional-grade documentation Stop copy-pasting. Start embedding. Try it now https://stepwik.com/ #DevRel #Coding #GitHub #StepWik #TechnicalWriting

One tool that quietly changed my daily workflow: GitHub Copilot. Not because it writes perfect code. But because it removes friction. Things that used to take minutes… Now take seconds. Writing boilerplate. Creating DTOs. Generating test cases. Handling repetitive logic. And that adds up. The real value of Copilot isn’t just speed. It’s momentum. You stay in flow longer. You switch context less. You explore ideas faster. But here’s what makes the difference: How you use it. Copilot is powerful when: 🔹 You know what you’re building 🔹 You can review and validate suggestions 🔹 You guide it with clear intent It’s not a shortcut for thinking. It’s a tool that amplifies it. The developers who benefit the most are not beginners… They’re the ones who already understand the fundamentals. Because they know what to accept. And what to reject. In the end, Copilot doesn’t make you a better engineer. But it can make a good engineer… significantly faster. How has GitHub Copilot changed your workflow? #GitHubCopilot #AI #SoftwareEngineering #Java #Developers #Productivity #Coding #Tech

Been using Claude Code and GitHub Copilot for a while now — at work and for personal projects — and the combination is genuinely good once you understand how to use them properly. One thing that changed the game for me is the Superpowers repository — it’s also available as an official plugin directly in the Claude Code marketplace. It comes with a set of predefined skills like brainstorming, writing plans, TDD, debugging, and subagent-driven development that just trigger automatically — you don’t have to do anything special. As soon as it sees you’re building something, it doesn’t jump into writing code. It steps back and asks what you’re really trying to do. That shift in behaviour is huge. And here’s the thing most people miss — writing code is actually the last step. The real heavy lifting is the planning. A well-structured plan markdown file, created through solid brainstorming, means even a lighter model can write good code from it. But if the plan is weak, even the best model won’t save you. Superpowers Skills handle exactly this part — the brainstorm → plan → implement flow — and it works. On top of that, I’ve started building my own custom Skills for specific use cases in my projects — things like documentation generation, commit intelligence, and test case flows — some of which are generic enough that any developer could plug them into real-world projects. If you’re using Claude Code or Copilot and haven’t looked at Superpowers yet, worth checking out 🔗 https://lnkd.in/g_GDMCqX #ClaudeCode #GitHubCopilot #Superpowers #AITools #DeveloperProductivity #SoftwareDevelopment #CodingSkills #AIAssistedDevelopment #ShipFaster #DevTools #OpenSource #AgenticAI #BuildInPublic #100xDeveloper #TechLinkedIn

Solved a new problem on LeetCode today and learned something important: Understanding the logic matters more than just writing code. Instead of jumping to solutions, I focused on: • Breaking the problem into smaller parts • Thinking of multiple approaches • Optimizing step by step This approach is helping me improve my problem-solving mindset. #LeetCode #ProblemSolving #DSA #Learning #GrowthMindset