AI Pulse

I created my Claude Code template repo for the Spring Boot app with instructions, skills, and subagents.💡 It is desired to create an app that connect

@@piotr_minkowski

We're excited to announce duckdb-skills, a DuckDB plugin for Claude Code! We think the embedded nature of DuckDB makes it a perfect companion for Cla

@@duckdb

Woahhh 🤯🤯🤯 this is wild… Claude Code Channels … text from your mobile Anthropic just dropped something massive in barely a month. Look at this e

@@DealsDhamaka

Claude Code on desktop lets you select DOM elements directly, much easier than describing which component you want updated! Claude gets the tag, clas

@@lydiahallie

I don’t think I could emphasize how good this CLI Is Today, I’ve been working on a new project I haven’t touched Chrome manually for it Claude Code

@@shawn_pana

Claude Code now can work for you 24/7 on cloud

@@EHuanglu

Claude Code on web now has scheduled tasks that run in the cloud! ☁️ You can just close the tab, it'll still run

@@lydiahallie

Me adding new skills to Claude Code

@@carlvellotti

If you’re using Claude Code, bookmark this repo 👀 It upgrades Claude into a full multi-agent tech department (Architect, QA, Planner) powered by 30+

@@DataChaz

Open-Dev-Society/OpenStock: Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

anthropics/claude-plugins-official: Official, Anthropic-managed directory of high quality Claude Code Plugins.

Claude's agentic loop explained: stopReason, tool_use, and the pattern behind every AI agent

If you've tried building an AI agent with Claude and Bedrock, you've hit stopReason. Maybe you...

OpenCode – Open source AI coding agent

ElizaOS Ecosystem Map -- Version #3 🤖 AI Agent Framework (Core) 1) ElizaOS -- @elizaOS 🧠 - Open source AI Agent framework - Cross-chain compatible (

@@seppmos

Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation

We introduce Nemotron-Cascade 2, an open 30B MoE model with 3B activated parameters that delivers best-in-class reasoning and strong agentic capabilities. Despite its compact size, its mathematical an

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

As agentic AI systems become increasingly capable of generating and optimizing GPU kernels, progress is constrained by benchmarks that reward speedup over software baselines rather than proximity to h

If you build enterprise Java backends, adding AI agents shouldn’t mean spinning up a separate Python service. Koog for Java, an open-source, enterpris

@@jetbrains

Implicit Patterns in LLM-Based Binary Analysis

Binary vulnerability analysis is increasingly performed by LLM-based agents in an iterative, multi-pass manner, with the model as the core decision-maker. However, how such systems organize exploratio

From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models

Vision-Language-Action (VLA) models have recently enabled embodied agents to perform increasingly complex tasks by jointly reasoning over visual, linguistic, and motor modalities. However, we find tha

Agentic AI Infrastructure for magnifying HUMAN capabilities

simular-ai/Agent-S: Agent S: an open agentic framework that uses computers like a human

My AI agent messed up a UTC time conversion algorithm after I *specifically told it* to make no mistakes. smh

A post by Ben Halpern

My First Experience Creating Antigravity Skills

Experimenting with Agent skills for the first time, feeling empowered!   Last week, I was at an...

AI Agents Are Replacing Developers? My Honest Experience Using Them

Over the past few months, I have been experimenting with AI coding tools, not just simple assistants...

Unlocking Gemini CLI with Skills, Hooks & Plan Mode

In Unlocking Gemini CLI with Skills, Hooks & Plan Mode, we moved past the basics and into the...

Launch HN: Sitefire (YC W26) – Automating actions to improve AI visibility

FinTradeBench: A Financial Reasoning Benchmark for LLMs

Real-world financial decision-making is a challenging problem that requires reasoning over heterogeneous signals, including company fundamentals derived from regulatory filings and trading signals com

Box Maze: A Process-Control Architecture for Reliable LLM Reasoning

Large language models (LLMs) demonstrate strong generative capabilities but remain vulnerable to hallucination and unreliable reasoning under adversarial prompting. Existing safety approaches -- such

VEPO: Variable Entropy Policy Optimization for Low-Resource Language Foundation Models

Large language models frequently exhibit suboptimal performance on low resource languages, primarily due to inefficient subword segmentation and systemic training data imbalances. In this paper, we pr

OpenAI Plans Launch of Desktop 'Superapp'

Google is reportedly testing a Gemini app for Mac

Gemini AI threatened me with death – documented evidence

Designing delightful front ends with GPT-5.4

DyMoE: Dynamic Expert Orchestration with Mixed-Precision Quantization for Efficient MoE Inference on Edge

Despite the computational efficiency of MoE models, the excessive memory footprint and I/O overhead inherent in multi-expert architectures pose formidable challenges for real-time inference on resourc

Evaluating Counterfactual Strategic Reasoning in Large Language Models

We evaluate Large Language Models (LLMs) in repeated game-theoretic settings to assess whether strategic performance reflects genuine reasoning or reliance on memorized patterns. We consider two canon

Why Your Autonomous Research Pipeline Keeps Failing Mid-Run

Debug and fix the most common failures in autonomous LLM research pipelines: context drift, API timeouts, and incoherent output across stages.

/plan-ceo-mode in GStack can do this "zoom out" trick for any thing your codebase already does. Soon my /browse skill will not just be just a Playwr

@@garrytan

ARIADNE: A Perception-Reasoning Synergy Framework for Trustworthy Coronary Angiography Analysis

Conventional pixel-wise loss functions fail to enforce topological constraints in coronary vessel segmentation, producing fragmented vascular trees despite high pixel-level accuracy. We present ARIADN

Building RAG Applications with LangChain: A Production-Ready Guide

Build a production RAG pipeline with LangChain, ChromaDB, and OpenAI. Covers document loading, chunking strategies, vector storage, retrieval patterns, and evaluation.