AI Weekly Malaysia

Back to items Summaries

Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding

ID
2140
Status
summarized
Published
30 Jun 2026, 12:17 AM
Fetched
30 Jun 2026, 12:58 AM
Provider
Simon Willison
Category
developer-ai
Original URL
https://simonwillison.net/2026/Jun/29/ornith/
Source URL
https://simonwillison.net/atom/everything/

Summary

Score
8.0
Created
30 Jun 2026, 12:58 AM
Tags
Audience
developersvibe_codersai_ml_learnersai_agent_users

What happened

Ornith-1.0 is a new open-weight coding model from DeepReinforce, built on Gemma 4 and Qwen 3.5, with sizes up to 397B parameters, achieving top open-source performance on coding benchmarks. It excels at agentic coding with multiple tool calls and runs locally via LM Studio, making it accessible for offline use. Early tests show strong code search and manipulation capabilities.

Why it matters

It provides a free, open-source alternative to commercial coding agents, enabling local, privacy-respecting, and customizable coding assistance for developers and AI agent users.

Discussion angle

Test Ornith-1.0 against your own codebase tasks and compare its speed and accuracy to cloud-based agents like Copilot or Cursor.

Top