BohuTANG
Joined 15 years ago
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26
Submissions
57
Member since
Oct 3
CEO at DatabendLabs | Data Warehouse, Data Cloud
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Comment · 4 months ago
Suggestion for Pi: capitalize tool names for the Sonnet/Opus
models (edit -> Edit, bash -> Bash, ...).
The rationale: Anthropic's own harness (Claude Code) uses PascalCase tool names — Bash, Edit, Read, Write, Glob, Grep. Since the models are post-trained/aligned against that harness, those naming conventions are effectively baked into the model. Matching your harness's tool names to the same casing puts your inputs closer to the training distribution, which lines up with the more reliable tool use I've seen in evaling.
A related pattern that fits the same distribution: for long outputs, have the model reserve placeholders first and complete the work across multiple steps.
Reference: https://github.com/evotai/evot/commit/765151796c43965964a9da...
Comment · 10 months ago
Hey everyone, I'm excited to open-source Snowtree: my tool for safe AI coding!
Team up with AI like Claude or Codex in your IDE—stay in control with isolated sessions, easy reviews, and snapshot saves. No chaos, just smarter workflows.
Comment · 1 year ago
Yes, Databend's metadata service (https://github.com/databendlabs/databend/tree/main/src/meta) also uses a Raft implementation written in Rust: https://github.com/databendlabs/openraft.
We've been running OpenRaft in production for several years now and have found it to be quite stable. It's designed as a generic, feature-complete Raft library that handles the complexities of distributed consensus well. If you're looking for a mature Rust Raft implementation, it's definitely worth considering.
Comment · 1 year ago
Neon (open-source alternative to Aurora) is 73.6% Rust. Databend (open-source Snowflake alternative) is even more Rust-heavy at 97.2%.
Interesting trend - modern serverless databases choosing Rust for its memory safety, performance predictability. Makes sense for systems where reliability and efficiency are non-negotiable.
Comment · 1 year ago
BendSQL is a cli tool.
I suggest to use the drivers list here: https://docs.databend.com/guides/sql-clients/developers/
Comment · 1 year ago
Thanks, sverg! From my experience, query-fast is a better product than many other AI-to-SQL solutions. I'm really looking forward to this product.
Comment · 1 year ago
Interesting, I tried query-fast and it's impressive! It would be great to add Databend as a data source—it's a cost-efficient alternative to Snowflake:
https://www.databend.com/
Comment · 1 year ago
Rust is great for building databases because it ensures memory safety, avoids garbage collection, and prevents memory leaks and data races. Databend is a prime example—it's one of the largest database projects written in Rust, with over 476,000 lines of code developed from scratch over the past three years. While Rust isn't as widely adopted as some other languages, its use in projects like Databend demonstrates its potential for creating high-performance, reliable systems.
Comment · 2 years ago
Yes, reliable data ingestion often involves Kafka, which can feel complex. An alternative is the transactional COPY INTO approach used by platforms like Snowflake and Databend. This command supports "exactly-once" ingestion, ensuring data is fully loaded or not at all, without requiring message queues or extra infrastructure.
https://docs.databend.com/sql/sql-commands/dml/dml-copy-into...