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VS Code is getting wild 🤯 This extension lets you run Ollama models like DeepSeek, Llama, and Qwen directly inside GitHub Copilot Chat. → use local AI models in VS Code → supports tools, MCP & vision → inline AI code completions → switch between models without leaving the editor Basically turns Copilot Chat into a local AI playground :) Hope this helps ✅️ Drop a Like if you found this post helpful! ❤️ Follow @rammcodes_ for more 💎 #html #ai #javascript #coding #webdevelopment

Free tier for GitHub Copilot in VS Code with access to 2,000 code completions and 50 chat messages per month, simply by signing in with your personal GitHub account 🎁#github #copilot #ai

Stop coding the hard way… use these VS Code extensions instead 👇 ⚡ Codeium AI – Free AI that autocompletes your code like magic ⚡ Error Lens – Shows errors directly in your code (no more searching) ⚡ Thunder Client – Test APIs inside VS Code (goodbye switching apps) ⚡ GitHub Copilot Chat – Ask, debug, generate code instantly ⚡ Live Server – See your frontend changes in real-time These tools don’t just save time… they make you look like a PRO 😎 👉 Which one are you using already? Comment below #vscodetips #codingtools #developertools #programmingtools #codetips

AI Agents in Github Co-Pilot 🚀 Github released Agentic Mode in CoPilot and people with VsCode insider can use it now #coding #vscode #developer #tech

You can now integrate GitHub Copilot directly into your own programming projects! 🤖 The Copilot SDK allows you to quickly interact with the GitHub Copilot CLI installed on any device. Making it much easier to build dev tools, internal tools, and other fun projects for GitHub Copilot users! 💻 I’m using it to build a new version of my Quotation Agent, allowing me to instantly price up my projects for clients from the command line! 💰 @github

Most developers use GitHub Copilot wrong. It’s not just autocomplete. It’s a full AI coding assistant inside your IDE. Here’s how to actually use Copilot like a senior engineer 👇 💬 Comment “COPILOT” for the full power-user PDF. What GitHub Copilot Really Is Copilot is an AI pair programmer inside: • VS Code • JetBrains • Visual Studio • Neovim It understands: • your file • nearby code • function names • project structure Better context → better suggestions. Ghost Text (Inline Suggestions) This is the autocomplete most people know. It: • predicts entire functions • writes loops • generates APIs • creates tests But this is just the surface. Copilot Chat Window (Where the real power is) Copilot Chat isn’t just Q&A. It has 4 powerful modes: Ask Mode (Explain & Learn) Use it to: • explain legacy code • clarify error messages • compare approaches • understand unfamiliar frameworks Example: “Explain this middleware and its edge cases.” Great for learning + debugging. Edit Mode (Modify Code Instantly) Select code → tell Copilot what to change. Examples: • “Add proper error handling” • “Convert this to async” • “Optimize for readability” • “Add logging” It rewrites the code safely inside your file. This saves massive time during refactors. Plan Mode (Architect Before Writing Code) This is underrated 🔥 Instead of coding immediately, ask: “Plan a scalable API for 1M RPS.” “Design the DB schema for a booking system. It generates: • architecture steps • components • tradeoffs • implementation plan This is huge for: • system design • LLD • feature breakdown Agent Mode (Autonomous Changes) This is next-level. Agent mode can: • create new files • update multiple files • fix errors across project • implement features step-by-step It behaves like a junior developer executing tasks. You supervise. It executes. Best Way to Use Copilot: ❌ Don’t accept blindly ❌ Don’t use it for critical security logic without review ✅ Guide it with clear comments ✅ Use it for boilerplate ✅ Use chat modes for refactoring + planning ✅ Review everything Treat it like: a very fast junior developer who needs supervision. #softwareengineer #ai #copilot #fyp

GitHub stopped giving premium copilot models in education pack 😭 #claude #github #copilot

Comment "SPEC" and I'll send you the full setup guide 👇 github just shipped spec-kit. 95k stars. it ends vibe coding. instead of "build me a todo app and hope", you run 6 commands that turn your idea into an executable spec your agent can actually run: 🏛️ /speckit.constitution defines the project rules. quality, testing, UX standards. 📝 /speckit.specify tells the agent WHAT to build, not the tech. ❓ /speckit.clarify makes the agent ask questions to kill ambiguity before any code is written. 🏗️ /speckit.plan is where you pick the stack and architecture. 📋 /speckit.tasks generates a dependency-ordered task list. ⚡ /speckit.implement is where the agent actually builds it. works with claude code, cursor, copilot, codex, gemini. 30+ agents. one CLI. the catch: overkill for a one-line fix. six commands adds real friction for tiny tasks. worth it for anything you'd actually ship. Comment "SPEC" for the link 👇 #claudecode #github #speckit #aitools #devtools ai

Unlimited Claude inside VS Code feels unfair ⚡ Code, debug, and plan — all without leaving your editor. 👉 Comment TRY and I’ll send the link. vs code ai extension, claude sonnet unlimited, ai coding assistant, vscode productivity tools, developer ai tools, code faster with ai, programming automation #VSCode #AICoding #ClaudeAI #DeveloperTools#lyzoai

There are 10,000+ Claude Code plugins, but you only need 6: Plugins are add-ons that extend what Claude Code can do. 🔹 Superpower – Plans before coding (90K+ GitHub stars) 🔹 Frontend Design – Kills generic AI purple slop (by Anthropic) 🔹 Code Review – 5 agents reviewing in parallel 🔹 Security Guidance – Finds vulnerabilities before users do 🔹 Claude Mem – Remembers context across sessions 🔹 Gstack – Built by YC’s CEO, 6 skills in one Comment “PLUGINS” and I’ll send the full list.

Comment 'Github' and get this useful cheatsheet if you are working in corporate . . . GITHUB COPILOT, AGENT, COPILOT, MICROSOFT,AGENTIC CODING TOOL, CHEATSHEET FOR VIBE CODING, WORKSPACE, COMMAND . . #ai #githubcopilot #github

Claude code in GitHub Copilot inside your favourite IDE (VS Code) and that too for FREE Yes FREE AGENTIC AI, Claude Design, Free Claude #claudecode #agenticai #vscode #githubcopilot
Top Creators
Most active in #github-copilot-vs-code
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #github-copilot-vs-code ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #github-copilot-vs-code. Integrated usage of #github-copilot-vs-code with strategic Reels tags like #copilot and #vs code is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #github-copilot-vs-code
Expert Review • June 4, 2026 • Based on 12 Reels
Executive Overview
#github-copilot-vs-code is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 1,102,605 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @peterbrainlogic with 326,021 total views. The hashtag's semantic network includes 35 related keywords such as #copilot, #vs code, #github copilot, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 1,102,605 views, translating to an average of 91,884 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.
The highest-performing reel in this dataset received 326,021 views. This viral outlier performance is 355% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #github-copilot-vs-code ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @peterbrainlogic, has contributed 1 reel with a total viewership of 326,021. The top three creators — @peterbrainlogic, @rammcodes_, and @leadgenman — together account for 68.0% of the total views in this dataset. The semantic network of #github-copilot-vs-code extends across 35 related hashtags, including #copilot, #vs code, #github copilot, #vs codes. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #github-copilot-vs-code indicate an active content ecosystem. The average of 91,884 views per reel demonstrates consistent audience reach. For creators using #github-copilot-vs-code, posting consistently with trending audio and relevant angles will help you get noticed.
Analyst Verdict
#github-copilot-vs-code demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 91,884 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @peterbrainlogic and @rammcodes_ are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #github-copilot-vs-code on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.











