Rust & Rig: Building for Stability in a Rapidly Changing AI Landscape
summary
Rig is an open agentic AI framework in Rust that already scales to 6,000 GB stars and 270k downloads and focuses on concrete guarantees: compile-time capability checks that prevent creating providers that claim unsupported features, a single generic client with pluggable HTTP backends including WebAssembly-compatible HTTP clients, prompt hooks for controllable agent loops, safeguards against infinite tool calls, and working integrations for completions, embeddings, audio, images and vector stores.
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chapters (16)
- 0:00Rust and Rig intro
- 1:08AI teams' challenges and Rust
- 3:15Why Rust in AI
- 4:38Python risks in production
- 5:43Rig framework evolution
- 6:45Rig design philosophy
- 8:11AI agents in Rig
- 9:57Failure modes in Rig
- 12:30Custom HTTP clients
- 15:45Prompt hooks
- 18:17Agentic engineering with Rust
- 21:33Is software engineering over?
- 22:59AI for boilerplate and tests
- 24:31Quality in AI contributions
- 25:55Future of open source tools
- 26:17Q&A
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