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Abubakersiddique771
Abubakersiddique771

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GitHub Issues Paid My Rent 💸 (Not Stack Overflow)

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You’ve probably spent hours answering questions on Stack Overflow with nothing but karma points to show for it. I was doing the same—until I realized that GitHub Issues could actually pay me real money. Here's how diving into open source not only helped me build skills, but also brought in freelance income, led me to some cool AI/ML projects, and gave me more than just Internet clout.


🧠 The Shift: From Stack Overflow to GitHub

Like most devs, I used to hang out on Stack Overflow. I loved solving bugs, flexing my skills, and helping others. But one day, while browsing a GitHub repo of an AI-powered PDF parser, I noticed a comment:

"Happy to pay someone to fix this bug. DM me."

👀 That’s when it hit me: some GitHub Issues are actually opportunities.


💼 Why GitHub Issues Are Secret Freelance Gigs

Here's what makes GitHub Issues different:

  • 🧩 They're real-world problems in actively maintained codebases.
  • 🧠 You learn from production code, not just toy problems.
  • 🔄 There's repetition—you can focus on one niche (e.g., LangChain, Hugging Face, etc.).
  • 💰 Some maintainers are open to bounties or quick freelance fixes.
  • 🤝 It builds relationships and contributes to your open source profile.

My first paid fix? Resolving a bug in a GPT-3 wrapper repo where async calls weren’t playing nice with token refreshes.

$200 later, I stopped answering Stack Overflow questions and started hunting GitHub issues like side quests 🎯


🧪 Why AI/ML Projects Are Goldmines

AI/ML is one of the best domains for this strategy. Here's why:

  • 🐍 Many are built in Python = easy to read + contribute
  • 🧪 AI tools move fast = bugs are everywhere
  • 💸 Open source AI tools often have VC backing or sponsorships
  • 🤖 Devs from non-CS backgrounds (e.g., researchers) maintain these projects = they're happy to pay for help

Here’s a tip: Search GitHub for label:bug label:help-wanted lang:Python with keywords like transformers, embedding, RAG, or LLM.


🚀 How To Start Getting Paid for GitHub Fixes

1. Pick a niche

Stick to one domain (e.g., ML model serving, AI agents, vector databases).

2. Follow top repos

Star and watch projects like:

3. Filter for issues you can fix

Use advanced search:

label:bug label:good-first-issue is:open
Enter fullscreen mode Exit fullscreen mode

4. Fix it and comment before PR

Comment something like:

"I'd love to work on this. Mind if I take a stab?"

5. Submit high-quality PRs

Use clean code, add tests, and explain the fix. Some maintainers will offer money without you asking. Others respond well if you politely ask.

Pro Tip: Add a GitHub Sponsors link in your profile. Some people tip you post-merge.


⚒️ Tools I Use

  • CodeTriage – Get GitHub issues by email from repos you love
  • OctoLinker – Makes navigating codebases easier in GitHub
  • ChatGPT / Claude – Helps me understand large AI repos or debug fast
  • GitHub Copilot – Speeds up repetitive AI-related fixes

🥳 Bonus: Funny Things That Happened

  • Maintainer thought I was a bot because I replied within 4 minutes 🤖
  • Got tipped $50 in crypto for fixing a Python import
  • Used ChatGPT to fix a transformer bug... and it actually worked
  • Accidentally created a PR that fixed two issues. Got paid for both 😎

TL;DR

  • Stack Overflow is great for karma.
  • GitHub Issues = real bugs, real pay, real impact.
  • AI/ML projects are full of low-hanging fruit.
  • Use GitHub to build income, reputation, and skills—all at once.

🔚 Final Thoughts

Open source isn’t just about giving—it can give back, too. I didn’t plan to earn from GitHub. But by solving real issues in the AI space, not only did I get paid, I also built confidence, got freelance gigs, and learned from some of the smartest codebases out there.

You don’t need to be an AI PhD. You just need GitHub notifications turned on.


😂 Funny Dev Emojis Section

  • 🧑‍🔧 Me fixing issues I don’t fully understand
  • 💬 “Can I take this issue?” every 3 hours
  • 💰 GitHub Sponsor button suddenly matters
  • 🤯 Reading PyTorch code at 2am
  • 🐞 Bug fixed. Coffee earned. Life good.

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