Poolside launches Laguna M.1: open-weight 23B coding model with 256K context window

Laguna by Poolside

Poolside launched Laguna M.1 on Product Hunt, a foundation model for agentic coding and long-horizon work. It has 23B active parameters and a 256K context window, released under Apache 2.0. Community comments highlight the 256K window as critical for refactoring tasks where most code agents lose track when context fills up. The post does not disclose benchmark scores, inference latency, or real-world multi-file editing performance. Integration with tools like Cursor or Claude Code is also not covered.

Why it matters: Poolside open-sourced a base model purpose-built for coding agents, with a 256K context window and Apache 2.0 license as concrete selling points. Score stays below 85 because we only have the Product Hunt launch info — no independent benchmarks or real-world usage data yet.