Ahmad Shah’s Post

🚀 Stop working sequentially. Start working in parallel. GitHub Copilot CLI just introduced "/fleet" — a powerful new command that lets you dispatch multiple AI sub-agents simultaneously across your codebase. Instead of tackling tasks one by one, Copilot now acts like an orchestrator: - Breaks down your objective - Identifies independent workstreams - Executes them in parallel This is a major shift—from using AI as a single assistant to leveraging it as an entire engineering team. 💡 Perfect for: • Refactoring across multiple files at once • Generating documentation for multiple components simultaneously • Building end-to-end features spanning API, UI, and tests in one pass If you're already using GitHub Copilot, "/fleet" is one of those features that instantly changes how you work. The future of software development isn't just AI-assisted—it's AI-orchestrated. #GitHubCopilot #AI #DevTools #SoftwareEngineering #Productivity #DeveloperTools #Coding #ArtificialIntelligence

🚀 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

The AI coding landscape has shifted drastically in 2026, moving from simple autocompletes to fully autonomous agents. Choosing the right tool now depends entirely on your specific workflow and technical needs. This comparison breaks down the three current giants: Claude Code, Cursor, and GitHub Copilot: • Claude Code (The Power User Choice): Operating as a terminal-native agent, it is built for complex refactoring and autonomous multi-file edits. It offers the highest level of agentic autonomy but comes with a steeper learning curve for those comfortable in the CLI. • Cursor (The Daily Driver): As an AI-native IDE, it provides the best tab-completion experience and a familiar VS Code environment. It’s the top pick for greenfield projects where you need a visual interface and multi-model flexibility. • GitHub Copilot (The Enterprise Standard): Still the king of low-friction adoption, it integrates deeply with the GitHub ecosystem. It’s the go-to for large teams requiring SOC 2 compliance and IP indemnity. With 95% of developers now using AI tools weekly, the question isn't whether to use them, but how to stack them. Many are finding the "Power Stack"—using Cursor for daily coding and Claude Code for heavy lifting—to be the winning combo. Which of these has made the biggest impact on your deployment speed this year? . . . #AICoding #SoftwareEngineering #ClaudeCode #CursorAI #GitHubCopilot #DeveloperTools #Programming2026

GPT-5.5 Is Live in Copilot. This One’s Actually Different. GPT-5.5 just dropped inside GitHub Copilot. Here’s why developers should care. 🧵 Forget chatbots. This model is built for real coding work — multi-step agentic tasks, debugging complex codebases, and running long workflows across tools without falling apart. Early testers describe it as the first model that actually understands how a codebase fits together. Not just autocomplete. Actual reasoning about your code. What’s new: → Best-in-class on complex agentic coding benchmarks → Fewer tokens, same speed, better results → Available across VS Code, JetBrains, Xcode, GitHub Mobile, and more Who gets it: Copilot Pro+, Business, and Enterprise users. The catch? A 7.5× premium request multiplier at launch. It’s not cheap to run — but if it saves you hours of debugging, the math still works. The rollout is gradual. If it’s not in your model picker yet, it will be soon. The bar for AI coding tools just moved. Again. #OpenAI #GitHubCopilot #GPT55 #AIEngineering #DevTools

Random Easter weekend musing — If AI is getting better at writing code as an individual developer, it is not far away when it will also write code as a team. How do we solve for collaboration at that point ? Source code control systems like a GitHub or gitlab will surely need to handle merge conflicts or branch resolutions at the velocity of code commits themselves. That makes for an interesting weekend read… #AI #Claude #Copilot #Windsurf

We just completed two GitHub Copilot sessions! Our teams had the chance to attend GitHub Copilot for Developers and Copilot for Managers. Both sessions were eye‑opening: developers discovered how Copilot can speed up coding, and managers gained clarity on how AI can support productivity, governance, and delivery. Super insightful, practical, and immediately actionable. Excited to see how AI will elevate the way we work! Seeing both technical and non‑technical roles align around the same goal: leveraging AI to build smarter, faster, and more efficiently. AI isn’t replacing developers, it’s empowering them. AI isn’t confusing managers, it’s giving them visibility and confidence. A big thanks to the facilitator for the guidance and energy (Mickaël LOPES, Rosan Vingalalon) and their experts (Thierry Madkaud , Julien Strebler & Damien Aicheh)

🚀 From Idea to Implementation with AI Assistance! Recently, I worked on a task to implement PDF-to-PDF comparison using the Aspose library — and I leveraged GitHub Copilot to accelerate the development process. ✨ What I achieved: Compared two PDF documents efficiently Detected differences in text content Identified changes in images and layout Generated a clear output highlighting variations 💡 With the help of AI-powered coding (GitHub Copilot), I was able to: Speed up development Explore better approaches quickly Reduce debugging time 📌 Impact: This solution makes it easier for users to: Track document changes Validate versions Improve accuracy in document reviews This experience showed me how combining the right tools with AI can significantly boost productivity and deliver real-world solutions faster. #Aspose #PDFComparison #GitHubCopilot #AIinDevelopment #Automation #SoftwareDevelopment #LearningJourney #Innovation

GitHub Copilot is evolving Starting June 1, 2026, Copilot will shift from premium requests to a usage‑based billing model powered by GitHub AI Credits. 💡 What this means for developers & teams: - Plan prices stay the same, but credits are consumed based on token usage. Code completions and Next Edit suggestions remain free. - Credits can be pooled, tracked, and topped up — giving enterprises more control. - Heavy users will need to monitor usage closely, while light users benefit from fairer pricing. - This change reflects Copilot’s growth from an in‑editor assistant to a full AI coding agent capable of multi‑step reasoning across repositories. 👉 The future of coding assistance is not just about features — it’s about sustainable, scalable AI access. #GitHub #Copilot #AI #UsageBasedBilling #DeveloperTools #SoftwareEngineering #TechNews #CodingAI #EnterpriseIT #Productivity

Your AI coding assistant has amnesia. Every. Single. Session. Most devs blame Copilot for "hallucinating" or "forgetting" project rules. It's not Copilot's fault. It's yours. There's ONE file that turns GitHub Copilot from a generic autocomplete into an assistant that actually knows your codebase: .github/copilot-instructions.md Copilot reads it automatically. Before every task. Every chat. Every session. Most developers don't even know it exists. In Part 3 of my series, I break down: → The "law of your project" file Copilot reads before every prompt → Why Copilot can't see half your context (and the 2-click fix) → The session log trick that eliminates "where did we leave off?" forever → How to grow an instructions file from 0 to 60 battle-tested rules Every rule in a mature instructions file is a scar. A mistake that cost you hours. Now it costs AI zero. Read Part 3 https://lnkd.in/dg2cgVXB Series: How to Actually Work With GitHub Copilot (and Any LLM) Without Losing Your Mind #GitHubCopilot #AI #SoftwareDevelopment #DeveloperProductivity #VSCode #LLM #AIEngineering #CodingWithAI #PromptEngineering #DevTools #Programming #TechLeadership #SoftwareEngineering #AItools #BuildInPublic