Datadog → AI Tools Lab

AI
Tools
Lab

Experimental AI tools and applications showcasing the future of observability and developer productivity.

Innovation Lab

AI Tools Lab consists of 30-40 minute recorded technical demonstrations of hands-on (early or first) experiences with AI-related tooling for developers. Each episode explores different aspects of AI tools and their practical applications in software development.

Visit ai-tools-lab.com to learn more.
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Recent
Episodes

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Claude Code findings with Rust and TypeScript through Ray Tracing projects

Episode 32 • June 11, 2025 • Jason Hand, Scott Gerring

In this candid engineering chat, Datadog developer advocate Scott Gerring walks Jason Hand through his latest experiments with Anthropic's Claude Code assistant. Gerring shows off a ray-traced teapot scene that Claude generated almost entirely on its own.

claude-code typescript rust
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Building client-side URL-based state apps using Claude 4 and Lovable

Episode 31 • June 4, 2025 • Jason Hand, Ryan MacLean

Jason Hand and Ryan MacLean chat and demonstrate practical uses of Claude and Lovable in coming up with and building on ideas very quickly .. daily .. almost as a personal challenge.

claude lovable ai-development
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Maximizing AI with Cursor: Building MCP Servers for Seamless Workflow

Episode 30 • May 23, 2025 • Whitney Lee

Whitney Lee shares her journey of building an MCP (Model Context Protocol) server designed to automate engineering journal entries. Learn how she evolved from experimenting with basic Cursor capabilities to developing a robust tool.

mcp cursor ai-development
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Building a Lissajous Animation Using Gemini 2.5 Pro

Episode 29 • May 12, 2025 • Jason Hand, Ryan MacLean

Jason Hand and Ryan MacLean explore the capabilities of Gemini 2.5 Pro, demonstrating its impressive features through hands-on examples including creating interactive mathematical visualizations.

gemini ai-development coding
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Research
Areas

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Machine Learning

Advanced ML algorithms for pattern recognition, anomaly detection, and predictive analytics in observability data.

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Natural Language Processing

NLP techniques for log analysis, incident summarization, and conversational interfaces for monitoring tools.

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Predictive Analytics

Forecasting models for capacity planning, performance optimization, and proactive incident prevention.

Explore the Lab

Visit our experimental platform to try cutting-edge AI tools and contribute to the future of observability.

Visit AI Tools Lab Back to Datadog

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