🎙️ On the pod, we chat with Dr. Richard Hipp, creator of SQLite, who shares how he taught himself to program, the challenges he faced in creating SQLite, and the importance of testing and maintaining the software for long-term support. https://lnkd.in/e4Ku26AW
Stack Overflow
Software Development
New York, NY 1,514,587 followers
Stack Overflow empowers the world to develop technology through collective knowledge.
About us
Stack Overflow's public platform serves 100 million people every month, making it one of the 50 most popular websites in the world. Founded in 2008, Stack Overflow’s public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers. Our products and tools help developers and technologists in life and at work. These products include Stack Overflow for Teams, Stack Overflow Advertising, and Stack Overflow for Talent. Stack Overflow for Teams, our core SaaS collaboration product, is helping thousands of companies around the world make the transition to remote work, address business continuity challenges, and undergo digital transformation. Whether it’s on Stack Overflow or within Stack Overflow for Teams, community is at the center of all that we do.
- Website
- https://stackoverflow.co/
External link for Stack Overflow
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2008
- Specialties
- Software Engineering, Q&A, Communities, Knowledge Management, Knowledge Sharing, and Software Development
Locations
- Primary
Get directions
110 William Street
New York, NY 10038, US
-
Get directions
Bentima House
168-172 Old Street
London, EC1V 9BP, GB
Employees at Stack Overflow
Updates
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Do AI code gen assistants make devs more productive? How do you measure developer productivity? 🤔 We want to hear from you! Weigh in and take our AI assistant and productivity survey: https://lnkd.in/eRa2gKgR
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On the latest pod, the home team talks about the current state of the software job market, the changing sentiments around AI job opportunities, the impact of big players like Meta and OpenAI on the space, and the challenges for startups. https://lnkd.in/ecQKZuvV
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Are your AI investments paying off? 🤔 We examine why addressing the process versus product question is key when bringing AI tools into your organization, the importance of defining goals, and types of metrics to consider. https://lnkd.in/edXgSS6H
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Mixture of experts, or MoE, is gaining traction as a new paradigm in model architecture. Cameron R. Wolfe, Ph.D., Director of AI at Rebuy Engine, breaks down how MoE works. https://lnkd.in/eDDZQ-PP
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🎙️Ryan Donovan and Benjamin Popper sit down with Stack Overflow's senior data scientist Michael Geden to discuss how LLMs are being used to evaluate other LLMs and the importance of data validation. #LLMs #DataScience https://lnkd.in/eHDAb-jC
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What's better than one developer? TWO developers! We discuss why pair programming, or when two programmers work on the same code in tandem, can be so effective, and how this technique can be applied to AI assistants. https://lnkd.in/eUWm4tSz
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#sponsored We sit down with Shane McAllister and Stanimira Vlaeva, developer advocates at MongoDB, and Miku Jha, director, AI/ML and generative AI at Google Cloud, to chat about the challenges and opportunities of operationalizing and scaling GenAI models in enterprise organizations. https://lnkd.in/eiciZDjH
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Building and maintaining a modern data platform is a complex and challenging endeavor. Katja Belova, CTO of UltiHash, explains best practices for outlining your organization's data platform strategy and procedures that set up your data engineers for success while reducing burnout. https://lnkd.in/efz3t3xa
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🚨Calling all devs!🚨 Do you use coding assistant tools? We want to hear from you about how they help you and your team stay productive. Take our brief pulse survey here: https://lnkd.in/eWvVNjX7