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LinkedIn and GitHub Presence in the AI Era

5 min read

Devrel

You're the standard. Others: make your profiles recruiter-ready in 15 min.

Eng Manager

When you hire, you'll check these. Make yours a good example for your team.

Frontend

GitHub = code. LinkedIn = narrative. Both matter. Keep both current.

LinkedIn and GitHub Presence in the AI Era

TL;DR

  • Recruiters search LinkedIn by keywords. Indeed AI Tracker hit 4.2% of postings in Dec 2025. "AI," "LLM," "RAG," "LangChain"—if you've used them, say so. Your headline, About, and experience need the right terms.
  • GitHub is your code resume. Pinned repos, READMEs, and recent activity matter. Empty or dusty = red flag.
  • Don't stuff keywords—have real work to point to. Data & analytics: 45% AI share. Software: 20%+. You're competing in that pool.

Recruiters spend seconds scanning your profile. Make them count.

LinkedIn: Recruiter-View Checklist

Headline (220 chars): Role + 2–3 skills or focus areas. "Backend Engineer | Python, APIs, Distributed Systems" not "Experienced professional seeking opportunities."

About: 3 short paragraphs. Who you are. What you've done (outcomes). What you're looking for (if job hunting).

Experience: Bullets with impact. "Reduced deployment time by 50%" not "Worked on deployment." Use numbers.

Skills: Add 15–20. Get endorsements for top 5. Recruiters filter by skills.

Keywords: If you want AI roles, include "AI," "machine learning," "LLM," "RAG" where accurate. Don't lie.

GitHub: Code Resume

Pinned repos (6): Your best work. Completed projects > half-finished experiments. README with: what it does, how to run it, why it matters.

Profile README: Optional but strong. One paragraph: who you are, what you build, how to reach you.

Recent activity: Green squares help. One commit a week in a visible repo beats bursts then silence.

AI-era signal: If you've built with LLMs, RAG, or AI tooling — pin it. Even small projects count.

What Changed in 2026

  • AI keywords get searched. "Prompt engineering," "RAG," "LangChain" — if you've used them, say so.
  • "Built with AI" is neutral. Saying you used Cursor or Copilot doesn't hurt. Saying you shipped AI features helps.
  • GitHub over LeetCode. Companies care more about shipped code than algorithm puzzles. Point to real projects.
  • Custom URLs. linkedin.com/in/yourname and github.com/yourname. Easy to remember. Add both to resume and email signature.

Headline: 'Experienced professional seeking opportunities.' About: empty. GitHub: last commit 2 years ago. Pinned: unfinished side projects. Recruiter: quick glance, next.

Click "Recruiter engages" to see the difference →

Quick Check

Recruiters scan your profile in seconds. What matters most?

Do This Next

  1. LinkedIn audit — Headline, About, top 3 experience bullets. Do they scream "hire me for X"? Cross-check: would "AI," "RAG," or "LLM" fit anywhere if you've touched them?
  2. GitHub audit — Pin your best 3 repos. READMEs complete? Last commit within 3 months?
  3. Add one AI-related item — Project, skill, or bullet. RAG project, LangChain experiment, cost dashboard. Make it real.