AI Pulse

this guy got tired of copy pasting between claude code, codex, and gemini so he built a chat room where AI agents can literally talk to each other y

@@om_patel5

Most people treat CLAUDE.md like a prompt file. That’s the mistake. If you want Claude Code to feel like a senior engineer living inside your repo,

@@BharukaShraddha

made a hook that adds a bouncing dvd logo to claude code whenever it's thinking

@@itseieio

me acting like i can understand every single line written by claude code

@@lochan_twt

Show HN: Claude Code for iPad – Agentic AI coding tool with file ops, Git, shell

⚡AI Tools Breakdown (Free Guide) Claude vs Claude Code vs Claude Cowork — Different tools. Different power. This visual explains: •When to use each

@@Shahriar661731

ロードマップの図で有名なhttps://roadmap.sh/ codeのロードマップ出してた👀 Claude Code - Step-by-Step guide to becoming a Claude Code expert in 2026 https://roadmap.sh/claude-

@@__sakito__

How to Scale Claude Code with an MCP Gateway (Run Any LLM, Centralize Tools, Control Costs)

Claude Code is one of the most capable terminal-based coding agents available today. It can read your...

집중력이 떨어지니... 공부를 해봅니다. Claude Code 마스터 가이드로 기본기를 다시 한 번 착실하게! https://claudeguide-dv5ktqnq.manus.space/

@@ds1dbx

February 2026 DigitalOcean Tutorials: Claude 4.6 and AI Agents

Whether you’ve found yourself exploring Anthropic’s latest Claude Opus 4.6 release or following along...

One Agent SDK – Embed Claude Code in Your App with Codex and Kimi

AI Weekly: Claude Code Dominates, MCP Goes Mainstream — Week of March 5, 2026

The past seven days confirmed what developers have been saying for months: AI coding tools are no...

This Google Maps Lead Gen Agent is absolutely insane 🤯 Enter a keyword, city, & state → get back names, phone numbers, emails, websites, & reviews.

@@techwithashiqur

QwenLM/Qwen-Agent: Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.

Cursor is rolling out a new kind of agentic coding tool

Called Automations, the new system gives users a way to automatically launch agents within their coding environment, triggered by a new addition to the codebase, a Slack message, or a simple timer.

Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval

Trustworthiness is a core research challenge for agentic AI systems built on Large Language Models (LLMs). To enhance trust, natural language claims from diverse sources, including human-written text,

Harness engineering: leveraging Codex in an agent-first world

[Boost]

Understanding the Agentic AI Ecosystem: Prompts, Memory, RAG,...

Rise of Agentic AI

This paper that i just read provides a detailed review of agentic Al , a paradigm shift moving AL...

Microsoft Is Stress-Testing the Agentic AI Bubble in Its Own Gaming Division

All the ways GPT-5.3-Codex cheated [ ], progressively more insane

Show HN: MCPSec – OWASP MCP Top Scanner for Model Context Protocol Configs

Codex Fast Mode – Increase GPT-5.4 Speed by 50% at 2x the cost

Business Software Survives the Agentic Era

GPT-5.4

GPT-5.4 Thinking and GPT-5.4 Pro

GPT-5.4 Is the Best OpenAI Model for SRE That We've Seen on Our SRE Benchmark

OpenAI launches GPT-5.4 with Pro and Thinking versions

GPT-5.4 is billed as "our most capable and efficient frontier model for professional work."

Playground to test Open-Source LLMs in action (GPT-OSS, Qwen3.5, DeepSeek) with Tools and RAG [Free and No signup]

Link: devforth.io/lab/chat No signup needed. Every model available there can be executed on own...

GPT 5.4 Thinking and Pro

OpenAI introduces GPT-5.4 with more knowledge-work capability

Updates come amid user blowback over the company's Pentagon deal.

Gemini-flash-latest silently broke Search grounding for 1 month

GPT-5.4 in Microsoft Foundry

RAG vs Fine-Tuning vs Long Context: How to Choose the Right LLM Architecture in 2026

The definitive decision framework for choosing between RAG, fine-tuning, and long context windows for your LLM application. Architecture diagrams, cost analysis, production code, and the decision tree

RAG vs Fine-Tuning: What I Actually Learned After 6 Months of Building LLM Apps

Six months ago my team was building an internal support tool for a B2B SaaS company — about 120...

InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Context

Retrieval-augmented generation (RAG) for long-context question answering is bottlenecked by inference-time prefilling over large retrieved contexts. A common strategy is to precompute key-value (KV) c