doyaken.ai

Planet AI Developer Filter · October 12, 2026 22:58

Release b11577 · ggml-org/llama.cpp

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.

Hacker News Claude Code · October 12, 2026 22:27

GitHub - YairDaniel11/claude-notify: התראות Windows ל-Claude Code: אפליקציה קטנה בשורת המשימות

התראות Windows ל-Claude Code: אפליקציה קטנה בשורת המשימות - YairDaniel11/claude-notify

Topics: Code Assistants

Entities: Code AssistantsClaudeClaude Code

Planet AI Developer Filter · October 12, 2026 21:41

Alibaba Qwen Introduces QwenGyre: Elastic Reinforcement Learning RL for XLong-Horizon Agents

Alibaba Qwen’s QwenGyre elastic RL framework trains XLong-horizon agents, lifting Qwen 3.8 2.4T NL2RepoBench from 52.5% to 58.5%.

Hacker News Claude Code + 2 sources (Hacker News Claude Code, Google News Claude Code, and Google News AI Coding) · October 12, 2026 20:06

Linus Torvalds used Claude Code to rewrite how Linux reads cached files - Startup Fortune

Linus Torvalds says Claude Code wrote the code and tests for a Linux page-cache patch that tripled small-read throughput in his own benchmarks.

Topics: Code Assistants

Entities: Code AssistantsClaudeClaude Code

The New Stack AI Coding Filter · October 12, 2026 19:28

Coding agents made building easy. Platform teams that build from scratch are 3.5x more likely to lack a strategy.

Platform teams that build from scratch are far more likely to report a lack of a clear strategy. As AI makes building easier, the reason behind the choice matters more than ever.

Topics: Coding Agents

Entities: Coding Agents

Planet AI Developer Filter · October 12, 2026 18:18

How Anthropic’s Dynamic Workflows Coordinate Claude Agents

At AI Engineer New York, Anthropic drew on lessons from Unix and Linux to explain how agents can tackle bigger projects without overwhelming developers.

Entities: ClaudeAnthropic

Planet AI Developer Filter · October 12, 2026 17:56

Meta releases its first frontier model, Muse Wonder | TechCrunch

Where Muse Spark aimed to be a lightweight model that could perform at low latency, the Wonder models are larger and said to be more capable, with higher benchmark scores and better results on complex tasks like coding.