Co-authors: Rajeev Kumar, Dhritiman Das, Saatwik Nagpal, Shubham Gupta, and Vikram Singh At LinkedIn, we leverage AI to provide a world-class product experience to our customers and members. Over the last two years, we moved to a centralized ML platform called Pro-ML, which now hosts hundreds of AI models running in production. The goal of Pro-ML is to...
Developer Productivity Articles
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Co-authors: Rashmi Jain and Sonali Bhadra Search on LinkedIn is an essential part of our members’ experience, with more than 44% of members who visit the site each week performing at least one search. We’re continually working to improve that experience and recently introduced a new streamlined and intuitive search experience that brings together people, jobs,...
- Topics:
- Search,
- Developer Productivity,
- Product Design
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Over the last year, we have been using real-time feedback to evolve our tooling and provide a more productive experience for LinkedIn's developers. It’s helped us double our feedback participation, and more importantly, better tailor our recommendations and improvements. For any engineering organization looking to improve developer experiences, the following...
- Topics:
- Developer Productivity,
- tools
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Co-authors: Nima Dini and Dan Sully Introduction LinkedIn has 12,000 Multirepo codebases, referred to as multiproducts, which...
- Topics:
- Developer Productivity
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The internet software industry has moved away from long development cycles and dedicated quality assurance (QA) stages, toward a...
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Editor's note: This blog has been updated. The product ecosystem at LinkedIn is vast, and managing its infrastructure can be daunting....
- Topics:
- Developer Productivity