Carmelo Iriti’s Post

Day 2 of learning how real AI systems work. Today — GitHub Copilot. I always thought it just autocompletes code. Turns out there's a lot more going on under the hood. Here's what actually happens when you press Tab When you pause typing, the plugin quietly grabs 3 things: → Your current file → Your other open tabs → Your language and imports It bundles all of that into a prompt and sends it to an LLM trained on 1 billion lines of code. The model returns multiple suggestions. A ranking layer picks the best one. You see it as grey ghost text. You hit Tab — it logs that. You ignore it — it logs that too. That signal goes back to improve the model. The insight that got me: Copilot doesn't just read what you're writing. It reads how you write — across all your open files. That's why it feels personal after a while. That's context engineering — and it matters more than model size. Drew the full architecture to understand it #GitHubCopilot #LLM #AIEngineering #LearningInPublic

🚀 This Week's Fastest-Growing Prompt Engineering Tools — April 09, 2026 This week, the Prompt Engineering space on GitHub saw significant activity around AI-powered coding assistants and research-backed prompting toolkits. Repositories centered on Claude Code mastery and ... Read full report → https://pullrepo.com #AI #OpenSource #GitHub #Tech #PromptEngineering

GitHub Adds “Rubber Duck” Review Agent to Copilot CLI GitHub has launched an experimental “Rubber Duck” mode in Copilot CLI, bringing a second AI model into the loop to review, challenge, and validate the primary agent’s work before execution. What’s interesting isn’t just the feature - it’s the pattern. 🔹 Second Opinion by Design: A separate model from a different AI family evaluates plans before they run. 🔹 Focused Review Layer: It flags missed assumptions, edge cases, and hidden risks. 🔹 Better Outcomes on Complex Tasks: Especially effective on multi-file, high-step problems where errors compound. 🔹 Agent + Reviewer Pattern: Introduces a structured “builder + critic” dynamic inside AI workflows. As agents become more autonomous, the risk isn’t that they can’t execute - it’s that they execute flawed plans too confidently. Rubber Duck introduces friction in the right place: before things break. At ScaleGlide, we see GitHub’s Rubber Duck as a clear signal that agentic development is moving from raw execution to structured validation. But as multiple agents enter the loop, the real bottleneck shifts downstream — into how feedback is prioritized, conflicts are resolved, and decisions are ultimately made. Read more: https://lnkd.in/dUwd5dms #AI #GitHubCopilot #AICoding #AgenticAI #DevTools #SoftwareEngineering #FutureOfWork #GlenFlow

I started using GitHub Copilot seriously… and it changed how I code. Not because it replaces me — but because it removes 𝘧𝘳𝘪𝘤𝘵𝘪𝘰𝘯. Here are 5 practical ways I use Copilot daily 👇 1. Writing boilerplate in seconds 2. Debugging faster with quick suggestions 3. Learning new frameworks by doing, not just reading 4. Refactoring messy code into something cleaner 5. Generating test cases (seriously underrated) But here’s something interesting 👇 Copilot vs other AI tools: • Copilot → feels like a pair programmer inside your IDE • ChatGPT → better for deep explanations & problem breakdowns • Cursor / other AI IDEs → more control + full-codebase awareness So it’s not about “which AI is best” anymore… It’s about 𝘩𝘰𝘸 𝘺𝘰𝘶 𝘤𝘰𝘮𝘣𝘪𝘯𝘦 𝘵𝘩𝘦𝘮. The real shift in 2026: Developers who know how to collaborate with AI > those who don’t. Curious to know 👇 Which AI tool is your go-to right now? #GitHubCopilot #AI #SoftwareDevelopment #Developers #Productivity

If your team is still merging PRs without AI in the loop, you're paying for hours you don't need to spend. Manual reviews. Bugs caught in production instead of pre-merge. Test cases written by hand at 11pm before a release. Every one of those is solvable in 2026. Here's the AI-enhanced GitHub pipeline I now recommend to every team 👇 1️⃣ Code pushed → GitHub 2️⃣ CI/CD triggered → GitHub Actions 3️⃣ AI reviews the PR → GitHub Copilot / CodeRabbit 4️⃣ AI suggests improvements → Claude / OpenAI 5️⃣ Tests auto-generated → Playwright / Testgen 6️⃣ Deploy if approved → Docker + GitHub Actions + Render/AWS AI at every step. Quality at every commit. What teams are seeing after the switch: ✅ 50% faster deployments ✅ 70% fewer bugs in production ✅ 60% less manual effort ✅ Cleaner, more maintainable code The takeaway: you don't need a bigger team. You need a smarter pipeline. Let AI handle reviews, fixes, and tests — and let your engineers focus on what only they can build. Build smarter. Ship faster. That's the whole game now. 🔔 Follow Umesh Kalia for more on AI, GitHub, and modern dev workflows. Which step would you automate first? Drop it in the comments 👇 #AI #GitHub #DevOps #Automation #SoftwareEngineering #CICD #DeveloperProductivity #GitHubActions #AITools

Just shipped a major update to goodai-base - an open-source library of 48 reusable AI agent skills. Three new domains are live: 🔹 gproject: A 7-phase documentation pipeline (Discovery → Roadmap). It drives the full flow with human gates at critical decision points. 🔹 autodoc: Fully autonomous reverse-engineering. Parallel agents scan your codebase and synthesize system-level docs with zero human oversight. 🔹 review: 12 specialized reviewers (Security, Architecture, High-load, etc.) that replace generic prompts and auto-detect scope from your diffs. All skills use a unified severity system and work seamlessly with Claude Code, Cursor, Zed, and OpenCode. 👉 https://lnkd.in/d6RU5ev9 #AI #OpenSource #SoftwareEngineering #AICoding #Productivity

𝗚𝗶𝘁𝗛𝘂𝗯 𝗷𝘂𝘀𝘁 𝗽𝗮𝘂𝘀𝗲𝗱 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗣𝗿𝗼 𝘀𝗶𝗴𝗻𝘂𝗽𝘀. Not a bug. Not a blip. A structural crack in how AI coding tools have been priced since day one. Agentic workflows changed everything. One task now consumes what used to cost a month's subscription. The economics don't hold and GitHub is the first major tool to admit it publicly. This affects every dev team running Cursor, Claude Code, Copilot, or anything in between. Swipe through. Then audit your tooling budget. → #ArtificialIntelligence #GithubCopilot #Github #Claude #Tokens #Pricing #AITooling #AITools #VibeCoding #AI #Microsoft #Cursor #Anthropic #FutureOfWork

Hi connections, 💡 How does GitHub Copilot actually generate answers? Many people think GitHub Copilot searches the internet or copies answers from somewhere.Even I also thought the same.But that’s not how it works. GitHub Copilot is powered by AI models from OpenAI, trained on a massive amount of public code, documentation, and programming patterns. 👉 It does NOT fetch answers from a database 👉 It does NOT Google your questions Instead, it works like a prediction engine. When you write code or ask a question, Copilot: • Understands your current context (code, comments, file) • Learns your intent • Predicts the most relevant next line of code or solution It’s similar to autocomplete—but on a much more advanced level. That’s why it often feels like it “knows exactly what you want.” ⚡ In simple terms: Copilot doesn’t copy answers — it generates them based on patterns it has learned. Understanding this helps us use AI tools more effectively instead of blindly trusting them. #GitHubCopilot #AI #SoftwareDevelopment #Developers #Productivity #OpenAI

🚀 Claude Code vs GitHub Copilot — The Real AI Coding Battle (2026) Most developers are asking: 👉 Which one is better? But here’s the truth 👇 💡 It’s not about features. It’s about how you work. 🔵 GitHub Copilot → Your AI pair programmer → Fast, real-time suggestions → Perfect for daily coding 🟣 Claude Code → Your autonomous coding agent → Handles complex tasks end-to-end → Thinks, plans, executes ⚔️ Real Difference? Copilot → assists you Claude Code → does the work for you 💻 In Practice: ✍️ Writing code → Copilot wins 🧠 Debugging & refactoring → Claude wins 🏗️ Large-scale tasks → Claude dominates 🏆 Pro Insight: The smartest developers aren’t choosing one… 👉 They’re using BOTH. Copilot → Speed ⚡ Claude Code → Depth 🧠 🎯 Final Thought: AI won’t replace developers… But developers using AI will replace those who don’t. 🔥 Built this as part of my ThinkLab Series More such deep dives coming soon! #AI #GenerativeAI #Coding #Developers #GitHubCopilot #ClaudeAI #SoftwareEngineering #Productivity #TechTrends #TheThinkLab

Stop telling your friends to “just get GitHub Copilot.” GitHub has effectively admitted the model is under pressure. They’ve paused new Copilot Individual sign-ups, tightened usage limits, and reduced model access. Their reason is clear: agentic workflows now consume far more compute than the original plan structure was built to support. The AI gold rush is now meeting operational reality. #GitHub #GitHubCopilot #AI #GenerativeAI #SoftwareEngineering #DeveloperTools #DevOps #LLM #CodingAssistants