AI Pulse

diegosouzapw/OmniRoute: Never stop coding. Free AI gateway: one endpoint, 160+ providers (50+ free), connect Claude Code, Codex, Cursor, Cline & Copilot to FREE Claude/GPT/Gemini. RTK+Caveman stacked compression saves 15-95% tokens, smart auto-fallback, MCP/A2A, multimodal APIs, Desktop/PWA.

AGENTS.md: The One File That Makes AI Coding Agents Actually Useful

If you’ve used Claude Code, Cursor, Codex, Aider, Gemini CLI, GitHub Copilot, Grok, goose, or similar...

Here's the best tutorial about how to build apps using Claude code. It is by Programming with Mosh

@@jackcoder0

The engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work I've seen $300 courses that don't co

@@Rajesh992510253

humanlayer/12-factor-agents: Use Claude Code, OpenCode, Cursor CLI, and Codex on mobile and web with CloudCLI (aka Claude Code UI). CloudCLI is a free open source webui/GUI that helps you manage your Claude Code session and projects remotely.

Codexia is a Tauri app combining Codex CLI and Claude Code with an IDE-like editor https://github.com/milisp/codexia

@@tom_doerr

Reverse-engineered Claude Code architecture built from a minimal agent loop https://github.com/FareedKhan-dev/claude-code-from-scratch

@@tom_doerr

xbtlin/ai-berkshire: AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.

claude code if it dropped in 2002

@@om_patel5

Gives Claude Code cross-session photographic memory https://github.com/memvid/claude-brain

@@tom_doerr

TOP 13 FREE AI COURSES TO TRY IN 2026: 1. Claude 101 👉 https://anthropic.skilljar.com/claude-101 2. AI Fluency: Frameworks & Foundations 👉 https://a

@@ashiqur_ai

VPSMaxxing – Migrate Your Codex, Claude Code and Other Agents to a VPS

Testing Qwen-AgentWorld-35B-A3B: A New Benchmark for Agentic Reasoning?

Testing Qwen-AgentWorld-35B-A3B: A New Benchmark for Agentic Reasoning? I've spent the...

Micro-Agent: Beat Frontier Models with Collaboration Inside Model API

TraceLab: Characterizing Coding Agent Workloads for LLM Serving

Coding agents are rapidly becoming a major application of agentic LLMs, but serving them efficiently remains challenging. Progress on this challenge requires understanding real workload patterns, yet

Show HN: Agentic Orchestrator, a TUI for long-running coding agents

here is why it was inevitable. GitHub basically admitted one long agentic session can cost them as much as a month of normal chat. flat $20 seats can

@@tensor___boy

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

We introduce Agents-A1, a 35B Mixture-of-Experts Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. We investigate agent-horizon scaling from two perspective

The Audit Tax: Why Your Agent Made You Slower

Originally published in Temrel, a weekly newsletter on agentic engineering. You ask an agent to code...

Cursor now has a mobile app for guiding your coding agent on the go

Cursor has launched a new mobile app for remote oversight over coding agents.

super-productivity/super-productivity: Agentic AI Infrastructure for magnifying HUMAN capabilities.

Cursor's iOS app is out: launch always-on cloud agents or remote-control desktop agents. Mobile oversight of coding agents is now real. #Cursor #AI #C

@@RELOXonX

🚀 Cursor AI, 드디어 iOS 앱 출시! 이제 카페에서, 지하철에서, 어디서든 AI 코딩 에이전트를 돌릴 수 있습니다 🔥 ✅ 클라우드에서 always-on agents 실행 ✅ 폰으로 내 컴퓨터 에이전트 원격 제어 ✅ Live Activities로 실시간 알

@@travel_invest

OpenAI sets up 'warroom' for Codex Token issue

The Interesting Part of Qwen-Image-2.0-RL Is Not the Image Score

The benchmark bump is fine. The useful lesson is how fragile reward optimization gets once it touches a diffusion model.

☀️🌍🌖 OpenAI has launched a preview of GPT-5.6, featuring Sol, Terra, and Luna models. Sol excels in safety and cybersecurity, Terra balances cost and

@@AlternativeTo

According to this benchmark GLM-5.2 is *technically* the best widely available frontier model. Open weights!

@@Amank1412

@OpenAI @sama @gdb release the deprecated model weights to the public. #OpenSource4o

@@yv_thorne

C$^{2}$R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse Autoencoders

Sparse Autoencoders (SAEs) are widely used to interpret large language models by decomposing activations into sparse, human-understandable features, but scaling to large dictionaries exposes fundament

Morphing into Hybrid Attention Models

Hybrid attention models improve long-context efficiency by retaining only a subset of full-attention layers and replacing the remaining layers with linear attention. However, the effectiveness of Tran

v2.1.196

What's changed Added support for organization default models — admins set it in the org console; it shows as "Org default" (or "Role default") in /model when you haven't picked one yourself Added rea

Model Context Protocol Explained in 3 Levels of Difficulty

Need a break? Play today's game from The Daily Context.

We (at DEV and MLH) are covering AI Engineer's World Fair by printing a physical newspaper called...

Welcome to AI Engineer World’s Fair 2026

Welcome to the first edition of the AI Engineer World’s Fair newspaper! On behalf of the organizing...

https://x.com/i/article/2071644053742223360

@@alexwg

SITUATION EXPLAINED: Why does every serious company need open weights now? We asked @DanielleFong, founder of LightCell Energy: "I was working with

@@MTSlive

Pragmatism in an Age of Infinite Code and Unavoidable Bottlenecks

Leading into the AI Engineer event in San Francisco, I’m looking forward to having my mind blown....

A Hybrid Framework For Crypto-Ransomware Detection In Enterprise Shared Storage

Most corporate workplace environments enforce policies and technical controls that limit the storage of sensitive data on client endpoints. Consequently, ransomware operators have evolved variants tha

Staged Hybridisation for Visual Quantum Reinforcement Learning via Knowledge Distillation

Visual environments are a demanding setting for quantum reinforcement learning (QRL): high-dimensional observations, unstable RL optimisation, and constrained variational quantum circuits (VQCs) are d

Gemma 4 on Cerebras - The Fastest Inference Is Now Multimodal