agentic

Ornith-1.0 is a family of open-source LLMs specialized for agentic coding, available in sizes from 9B to 397B MoE, and can be run via Ollama for use with tools like Claude or Pi.

A user reports that Ornith-1.0-35B matches Qwen3.6-35B in performance but excels at planning and long task execution, while the developer announces the open-source Ornith-1.0 family of LLMs specialized for agentic coding.

OpenAI previews the GPT-5.6 series including flagship Sol, balanced Terra, and affordable Luna models, featuring improved reasoning, agentic capabilities, and robust safety measures, with a limited preview before broader availability.

This paper introduces Dockerless, an environment-free agentic patch verifier that evaluates code patches without execution, outperforming existing open-source verifiers and enabling efficient post-training for coding agents.

Ornith has open-sourced the Ornith-1.0 model family, which includes multiple sizes such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves leading performance on coding tasks, even rivaling GLM5.2.

Ornith-1.0 is a family of open-source LLMs specialized for agentic coding, spanning sizes from 9B to 397B and achieving state-of-the-art performance among open-source models of comparable size.

DeepReinforce releases Ornith-1.0, an MIT-licensed open-source family of agentic coding LLMs including a 397B MoE model that surpasses Claude Opus 4.7 on SWE-Bench and Terminal-Bench, using a novel self-improving training strategy.

Liquid AI releases LFM2.5-230M, a small 230M parameter model optimized for fast inference on CPUs, NPUs, and GPUs, targeting agentic tasks on devices like phones and robots.

Gemini 3.5 Flash now natively supports computer use as a built-in tool, enabling developers to build agents that can interact across browser, mobile, and desktop environments for long-horizon automation tasks like software testing and knowledge work.

Pulse is a permission-aware, proactive, and agentic AI brain for companies, launched on Product Hunt.

llama.cpp's web UI now supports executing model-generated JavaScript in a sandboxed iframe via Web Workers, enabling lightweight agentic code execution as an opt-in feature.

ByteDance's Seed 2.1 model achieved strong results on multimodal agentic (Claw-Eval) and long video understanding (Video-MME) benchmarks, though a gap remains between perception and agentic capabilities.

Autodata is a method that enables AI agents to act as data scientists to create high-quality synthetic training data through meta-optimization, achieving improved performance across computer science, legal reasoning, and mathematical tasks.

A developer reflects on how AI agents are eliminating Slack startup niches, while ClaudeDevs reveals that Claude Code now writes 65% of their product team's code, including the Claude Tag tool itself.

A new fine-tuned version of Gemma 4 12B, trained on Fable 5's reasoning, achieves a significant jump in agentic coding benchmarks (from 15% to 55%) and can run locally on an 8GB VRAM GPU using a custom fork of llama.cpp.

LFM2.5-ColBERT-350M is a model that reliably selects the most relevant tools from a set of 151, saving tokens and improving accuracy, ideal for agentic edge models.

A new git platform designed for the agentic era, likely targeting AI-driven development workflows.

A 100% opensource tool that transforms an AI coding agent into an agentic video production studio, announced by @Saboo_Shubham_.

This blog post introduces a benchmark methodology for evaluating how well open models perform on agentic coding tasks, focusing not just on accuracy but on the efficiency of the agent's process. It provides a customizable tooling harness using the pi coding agent and tests across models and library revisions.

A community fine-tune of Qwen3.6-27B improves real bug-fixing on SWE-bench while maintaining quality, unlike synthetic distillations that regress.