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PHGitHub Copilot: your AI pair programmer. Code faster, complete tasks faster. June 2022 changed the game for developers. #GitHubCopilot #AIProgramming #VSCode #PyCharm #DeveloperTools #CodingLife #TechInnovation
@philippaburgess
#Opencode Github Ai Coding Agent
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15Reels en Tendencia
(12)
4.8K
LI🚀GitHub just launched the GitHub Copilot SDK so let’s try it out!
It immediately made me think about a question I get all the time: What’s the best way to get started contributing to open source?
…Because that question isn’t really about writing code.
It’s about reasoning over GitHub data:
Is this repo active?
Do maintainers actually respond?
Are these beginner issues really good starting points?
What does a normal first PR look like here?
…that’s why so excited to try GitHub Copilot SDK for this use case!
💡The GitHub Copilot SDK lets you embed the same agent runtime behind Copilot CLI directly into your own applications…. so instead of hard-coding a step-by-step workflow, you can build custom agents that plan, call tools, and make decisions based on real context.
I built a small MVP using the Copilot SDK to show how an agent can reason over those signals and help people find good repos and beginner issues. I’m adding a few more features and will deploy it so it can be used (& also feel free to contribute 😊)
This is just one example of how the GitHub Copilot SDK can be used to build agent-driven workflows in real products 🛠️
🔗Try out the GitHub Copilot SDK & build your own custom agents via the link in bio!
@lindavivah
134
HTGitHub Copilot is building a community with different perspectives & problem-solving approaches. Now with Claude Code & GPT! #GitHubCopilot #AICommunity #ProblemSolving #TechInnovation #CodingLife #Developers
@htekdev
158
PRGitHub just did the unthinkable. They’ve officially opened the hood on Copilot!
A brand-new Copilot SDK is just released. This means you can now take the same AI engine that powers the Copilot CLI and plug it directly into your own apps. It’s not a plugin anymore- it’s an engine you can build with. You can now create custom AI assistants or dev tools that are specifically tuned to your projects.
Share this news with a dev who needs to hear this and don’t forget to follow us for more news in the It field ✅ #learntocode #futureintech #coding #vibecoding #itcareer
@procodingcom
75.1K
GIThe GitHub Copilot SDK is here 🙌
You can take the same Copilot agentic core that powers GitHub Copilot CLI and embed it in any application, with just a few lines of code. Link in bio.
@github
535
MOSurprise. Free GitHub Copilot access will expire in 3 days.
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👉 Follow for more @mobiledevpro
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🛠 Building Android Apps from idea to launch on Google Play with Kotlin & Jetpack Compose
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@mobiledevpro
52.5K
TOYou 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
@tom.developer
31.0K
MIStop paying for AI as a student.
GitHub Student Pack unlocks Copilot
+ advanced AI models.
Comment Claude 👇
#github
#vibecoding
#developers
#students
#copilot
@mike.devlogs
3.1K
_CMost 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
@_codeonwheels
32.7K
GIIntroducing the GitHub Copilot SDK, now in technical preview 🎉
We’re opening up new ways to automate your workflows. Check out the SDK and the latest Copilot CLI features (including built-in custom agents and Homebrew/WinGet installation options). ▶️
@github
13.7K
KUGitHub Copilot SDK was just announced, and it’s genuinely good news for developers.
In 2026, AI agents are moving away from “cool toys” to “invisible workers.” Building an agent that actually works is still hard. You still need to solve memory, planning, and security.
I tried out the GitHub Copilot SDK (currently in technical preview), and I was genuinely impressed by how much of the boring groundwork is already handled. You don’t start from zero. You can focus on what the agent should do instead of wiring everything together.
It’s not just an API wrapper. It’s a programmable layer that lets you embed the same kind of agentic core that powers Copilot CLI directly into your own tools. GitHub is launching with support for Node, Python, Go, and .NET.
👉 The repo is live at github.com/github/copilot-sdk. It includes cookbooks and examples to get you started.
The bigger shift here isn’t the SDK itself, it’s the direction. We’re moving away from step-by-step instructions and toward delegation. You give software a goal, and it figures out the path.
What’s the one boring part of your workflow you’d delegate to an agent tomorrow if you didn’t have to build the infrastructure yourself? 👇
@kunalsig
110
GRCustom Copilot Agents = Hours Saved ⏳👨💻
Stop digging through outdated internal wikis. With GitHub Copilot Custom Agent Mode, you can build an agent that knows your exact company standards. Tag it, prompt it, and watch the magic happen. Would you like me to suggest more Copilot use cases for your specific stack?
#GitHubCopilot
#DevLife
#Coding
#TechHacks
#SoftwareEngineering
@growwithgenai
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