25 min
RustChinaConf 2026
The schedule designed for the conversation.
October 15–17 in Shenzhen. The structure is published now so you can plan for the kind of time we are protecting; the individual sessions follow on September 25.
Programme release
The full schedule is published September 25.
This is an intentional planning state, not a missing agenda: we are holding the session list until CFP review is complete, while making the rhythms, tracks, and non-stage spaces clear in advance.
One session, 35 minutes
Enough time to make the useful part discussable.
10 min
Conversation & Q&A
Questions stay in the room rather than becoming an afterthought.Speakers are prepared for 25 minutes. To protect the following discussion, a talk that runs over will be stopped directly.
Three-day framework
The programme has five places to meet, not one stage to fill.
Each afternoon includes a 40-minute tea break. The time deliberately left off the main stage belongs to conversations, demos, and follow-up.
October 15
Opening the questions
- Main conference sessions
- Hallway conversations
- Demo area
- Office Hours
- Themed lunch tables
40-minute afternoon tea break
October 16
Working through the details
- Main conference sessions
- Hallway conversations
- Demo area
- Office Hours
- Themed lunch tables
40-minute afternoon tea break
October 17
Taking the work forward
- Main conference sessions
- Hallway conversations
- Demo area
- Office Hours
- Themed lunch tables
40-minute afternoon tea break
Three tracks
The engineering questions the programme is being built around.
T1
Rust for AI
The systems layer beneath AI infrastructure and products.
- Training data pipelines and object storage
- AI-ready databases and streaming systems
- PyO3 hot paths, agent runtimes, and MCP
- Edge inference, engines, and heterogeneous GPU compute
T2
AI for Rust
How AI changes Rust practice, and where Rust makes AI-assisted engineering more dependable.
- LLM-assisted C/C++ to Rust migration
- AI-assisted unsafe audits and formal verification
- rustc parallel compilation and incremental systems
- rust-analyzer and supply-chain risks in generated code
T3
Rust in Production
Large-scale production Rust, including how AI-for-Rust work reaches real systems.
- Rust for Linux and domestic kernels
- Data and storage engine rebuilds
- Network data planes, embedded volume production, and safety-critical certification
- Governance and incident reviews in large codebases
Sponsored