Rosario Terranova’s Post

This tutorial from freeCodeCamp is a game-changer for anyone looking to master the future of software development. It provides an in-depth, hands-on look at transforming your workflow with tools like GitHub Copilot, Claude Code, and the Gemini CLI to achieve massive productivity gains [00:14]. Whether you are a seasoned professional or just starting your coding journey, you'll learn everything from fundamental AI concepts like context windows and tokens to advanced "Agentic" workflows that can build and review entire projects autonomously [01:04]. The course even dives into high-level automation with OpenClaw and automated code reviews through CodeRabbit, ensuring you maintain top-tier security and code quality [01:16:05]. It’s an essential resource for learning how to strategically combine these powerful tools to stay ahead in the rapidly evolving tech landscape. Check it out here: https://lnkd.in/gwkWDhcy

🛡️ "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

GitHub COO Kyle Daigle believes #AI agents are fundamentally dismantling the traditional software development lifecycle. By #automating testing and deployment, these tools allow a single developer to manage multiple complex projects simultaneously. Daigle’s ultimate vision is to democratise coding, empowering a billion people to build software as the barriers between idea and production continue to vanish.

GitHub Copilot for System-Level Development 🚀 GitHub Copilot can go beyond basic code suggestions and actually assist in system-level development and from test-driven development to large-scale refactoring and infrastructure automation. Key takeaways👇 🧠 AI-assisted TDD → writing failing tests first, then generating code to pass them 🧪 Generating complex test suites with Copilot for better coverage 🧩 Mocking dependencies using unittest.mock to isolate system-level tests 📊 Improving test coverage using pytest + coverage tools 🔍 Using AI to identify uncovered, unused, or risky code sections 🗂️ Working efficiently with large codebases using workspace context 🔗 Analyzing cross-file dependencies for better debugging & refactoring ♻️ Iterative refactoring → run tests → fix issues → maintain stability 📏 Enforcing coding styles using Copilot instruction files 📝 Defining structured TDD workflows and guidelines for consistent development ⚙️ Infrastructure as Code (IaC) → automating deployments using Ansible 🐳 Generating optimized Dockerfiles (multi-stage builds, distroless containers) ☁️ Terraform configurations for container deployment (e.g., Azure Container Registry) 🔐 Handling environment-specific configurations and deployment workflows 🚀 Using AI to speed up debugging, modernization, and system design #GitHubCopilot #AI #DevOps #TDD #InfrastructureAsCode #Terraform #Docker #Automation

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

"You can't vibe code lessons." This is a phenomenal take from Nikunj Kothari. This Slack notification flowchart is a reminder of the kind of depth and nuance in software engineering, even in the features that seem simple on the surface. Pairs perfectly with pi creator Mario Zechner's recent piece, "Thoughts on Slowing the F#%k Down," which makes the case that we've confused speed of code generation with actual progress. The compounding mistakes, the lost understanding, the complexity no one asked for… it all catches up. The agents aren't necessarily the problem. It's that we stop paying attention when we let them run. Build fewer things. Build them well. Use your coding agents, but stay in the loop!

🚀 Day 9/30: Your Ultimate Pair Programmer – GitHub Copilot If you’ve ever felt the "blank page syndrome" when starting a new function, GitHub Copilot is the cure. It’s no longer just a simple autocomplete tool; with the recent "Copilot Extensions" and "Copilot Chat," it has become a full-blown assistant that knows your project's context and coding standards. 🛠️ Why it’s essential for Engineers:- Context-Aware Autocomplete: It doesn't just guess words; it looks at your open tabs and project structure to suggest entire blocks of code that follow your specific naming conventions and style. Unit Test Generation: Highlight a function and ask: "Write 5 edge-case unit tests for this using Jest/PHPUnit." It saves hours of repetitive manual testing work. Legacy Code Refactoring: Dealing with a "spaghetti" function from 5 years ago? Use Copilot Chat to ask: "Refactor this for better readability and performance," and watch it clean up the logic instantly. CLI Integration: Stuck on a complex Git command or a Docker setup? Ask Copilot in your terminal, and it will give you the exact command you need. 🏠 Daily Life Hack:- I use it for Automating Boring Tasks. Whether it’s a Python script to organize my thousands of vacation photos or a quick Bash script to clean up my downloads folder, Copilot writes the "utility" code so I don't have to look up syntax. 💡 The "Dev" Perspective:- The real magic of Copilot isn't that it writes code for you—it's that it keeps you in the Flow State. You spend less time searching documentation and more time solving the actual logic. Are you using Copilot Chat, or do you prefer the classic ghost-text suggestions? Let's discuss! 👇 #30DaysOfAI #GitHubCopilot #SoftwareEngineering #CodingHacks #DevTools #AIPairProgramming #Magento #SoftwareDevelopment

I have started a blog series on Spec Driven Development. Vibe coding is fun and all, but the accuracy of agents when they are front-loaded with structured context saves all of the time in the world and creates accurate solutions much quicker. Lets dive in (link in the comments)

🚀 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

Two development practices that I adopted in the last few months that I just cannot go back to how it was before: - AI-assisted development (not vibe coding!) - Git stacked changes