The Data Phoenix: The future of the Internet and the Open Web

What happens when AI hits a complexity cliff? Discover the new model creating a virtuous cycle between human expertise and machine intelligence to keep the web trustworthy.

#1about 3 minutes

An overview of Stack Overflow's products and community reach

Stack Overflow serves 100 million users through its public community, private Teams product, OverflowAI, and new Overflow API for partnerships.

#2about 3 minutes

Positioning generative AI as the next major technology shift

The "ChatGPT moment" represents a fundamental transformation in technology, similar to the PC or cloud, accelerating the trend of abstraction in software development.

#3about 3 minutes

Addressing key challenges in the AI era for developers

Four major problems are identified in the AI landscape: LLM brain drain, the complexity cliff, developer job uncertainty, and a lack of trust in AI-generated answers.

#4about 2 minutes

Partnering with Google and OpenAI for responsible AI

The Overflow API enables partnerships with major AI companies like Google and OpenAI to ensure proper attribution and citation for answers sourced from Stack Overflow.

#5about 5 minutes

Integrating trusted knowledge into developer workflows with OverflowAI

OverflowAI is now generally available for Stack Overflow for Teams, providing summarized, attributed answers directly within Slack, Microsoft Teams, and VS Code.

#6about 1 minute

Making Stack Overflow friendlier for new developers

The Staging Ground initiative provides a safe space for new users to craft questions with help from the community and generative AI before posting publicly.

#7about 5 minutes

Analyzing developer sentiment and trust towards AI tools

The 2024 developer survey reveals a slight drop in favorability towards AI and that only 40% of developers trust the output from AI models.

#8about 5 minutes

Why high-quality, curated data is crucial for AI

High-quality, human-curated data from platforms like Stack Overflow significantly improves the accuracy of LLM models, creating a virtuous cycle of knowledge creation.

#9about 3 minutes

Building a future where knowledge meets developers in-flow

The vision is to eliminate context switching by bringing trusted, attributed answers from Stack Overflow directly into developers' primary tools like the IDE and chat platforms.

#10about 3 minutes

Announcing new enterprise search and GitHub integrations

OverflowAI will soon expand to search across enterprise knowledge bases like GitHub, Jira, and Confluence, with a new extension to post questions from GitHub.

#11about 3 minutes

Introducing the concept of Knowledge as a Service

Knowledge as a Service (KaaS) positions Stack Overflow as the central, trusted knowledge store that feeds the AI ecosystem and captures new human insights when AI fails.

#12about 1 minute

A final summary of Stack Overflow's AI journey

Stack Overflow is committed to empowering developers by integrating its trusted knowledge base across the entire AI ecosystem, wherever developers work.