Jared Zoneraich

46 posts

Building Agents with Claude Code's SDK

Run Claude Code in headless mode. Use it to build agents that can grep, edit files, and run tests. The Claude Code SDK exposes the same agentic harness that powers Claude Code—Anthropic's AI coding assistant that runs in your terminal. This SDK transforms how developers build AI

GPT-5-Codex: First Reactions

"An AI that can code for 7 hours straight" — VentureBeat's headline on gpt-5-codex. OpenAI dropped GPT-5-Codex in mid-September 2025. Early adopters report game-changing productivity gains alongside some notable quirks. Here's what the community is discovering about OpenAI's latest agentic coding powerhouse, how

Claude Code has changed how we do engineering

Prioritization is different. Our company has shipped way faster in the last two months. Multiple customers noticed. It helped us build a “Just Do It” culture and kill prioritization paralysis. Claude Code (or OpenAI Codex, Cursor Agents) is an AI coding tool that is so good it made us rethink

Grok Code Fast 1: First Reactions

256k context and ~92 tokens/sec—xAI's coding model lands in GitHub Copilot public preview, aiming for speed at pennies per million tokens. This post covers what it is, why it's fast and cheap, best uses, where to try it, and what's next. Why

xAI's Prompt Engineering Guide for grok-code-fast-1

xAI recently released a prompt engineering guide for their new grok-code-fast-1 model. These guides are awesome ways to learn how to be a better day-to-day prompt engineer, not just with grok. Below are my takeaways after reading it. They are aimed to help with day-to-day prompt engineering. Iteration is better

Agent Client Protocol: The LSP for AI Coding Agents

What if switching between AI coding assistants was as easy as changing text editors? That's the promise of the Agent Client Protocol (ACP)—a new open standard that aims to do for AI agents what the Language Server Protocol did for programming languages. Just as LSP decoupled language

LLM Idioms

An LLM idiom is a pattern or format that models understand implicitly - things their neural nets have built logic and world models around, without needing explanation. These are the native languages of AI systems. To me, this is one of the most important concepts in prompt engineering. I don&

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