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Reading up on codex-cli

27 deep · digging since dec 05, 25

  • blog.sshh.io favicon
    I Asked 100 Agents to Hack Me - by Shrivu Shankar

    In a five‑hour test, ~100 abliterated open‑source agents compromised five of the author’s accounts via old‑project vulnerabilities and password brute‑forcing, but failed to breach tier‑0 services.

  • learn.chatgpt.com favicon
    Import from another agent

    ChatGPT and Codex now support importing setup and recent work from Claude Code, Claude Cowork, or Cursor via a guided flow that preserves existing configurations and enables sync.

  • domenic.me favicon
    My Agentic Coding Setup, July 2026

    The author details his Linux‑VM‑based agentic coding environment that combines Tailscale, ChatGPT and Claude desktop apps, Codex CLI, Git worktrees, Portless and chezmoi for seamless, parallel, remote AI‑assisted development.

  • blog.arcbjorn.com favicon
    State of CLI Coding Agents, Mid-2026

    The CLI coding agent market in mid-2026 is crowded with 35+ tools, and this piece systematically compares them across model labs, platform CLIs, and open-source harnesses.

  • gethasp.com favicon
    hasp · model 01

    Hasp is a local secret broker that injects credentials into coding agent processes without the agent ever reading the plaintext value.

  • cpojer.net favicon
    Modern Engineering Values

    A developer describes how AI coding agents have transformed his workflow, enabling him to ship 3x more code at higher quality and shifting his bottleneck from writing code to exercising judgment.

  • tectontide.com favicon
    /goal: The Six-Hour Codex Run That Survived a Five-Hour Pause | Blog

    Codex CLI v0.128.0 introduces /goal for persistent, auto-resuming AI sessions that survived a 6.75-hour run with 41 minutes compute.

  • internals.laxmena.com favicon
    What you're actually writing when you write a SKILL.md

    Skills are loader specifications with three execution stages, not static prompts, and understanding this runtime architecture is the key to writing efficient, portable agent skills.

  • martinfowler.com favicon
    Fragments: April 29

    The post collects expert perspectives on AI-assisted development, emphasizing verification over generation, harness engineering, function structure, and the cultural divide between software thinking and human experience.

  • github.com favicon
    GitHub - es617/claude-replay: Community tool to convert Claude Code session transcripts into self-contained, embeddable HTML replays

    Claude-replay converts AI coding agent session transcripts into self-contained, interactive HTML replays for sharing and embedding.

  • developers.openai.com favicon
    Codex Prompting Guide

    OpenAI's Codex prompting guide details how to optimize the model's performance through autonomy, tool use, and compaction features.

  • www.dbreunig.com favicon
    How System Prompts Define Agent Behavior

    System prompts shape coding agent behavior as much as the underlying model, with swaps between agents like Claude and Codex producing distinctly different workflows.

  • aight.cool favicon
    Aight - an iOS app for OpenClaw

    Aight is an iOS app that connects to self-hosted AI agents like OpenClaw, Claude Code, and Codex CLI, offering sessions, voice mode, group chats, and direct control without cloud middlemen.

  • soloterm.com favicon
    Solo

    Solo is a native terminal workspace that runs AI coding agents like Claude Code and Codex alongside a developer's full stack, providing unified visibility, auto-restart, and MCP-based agent coordination.

  • simonwillison.net favicon
    One Human + One Agent = One Browser From Scratch

    A single Codex CLI agent built a basic HTML+CSS browser in three days with 20,000 lines of Rust, challenging the need for large multi-agent projects.

  • openai.com favicon
    Unrolling the Codex agent loop

    OpenAI explains the architecture of Codex CLI's agent loop, detailing how it orchestrates model inference, tool calls, and context management using the Responses API.

  • openai.com favicon
    Introducing GPT-5.2-Codex

    OpenAI releases GPT-5.2-Codex, an agentic coding model with improved long-context understanding, Windows support, and cybersecurity capabilities, including discovery of a React vulnerability.

  • simonwillison.net favicon
    Your job is to deliver code you have proven to work

    Software engineers must prove code works through manual and automated testing, shifting accountability away from AI agents to the human submitting the PR.

  • news.ycombinator.com favicon
    AI's real superpower: consuming, not creating

    AI's primary value lies in consuming and synthesizing personal data rather than generating novel content.

  • news.ycombinator.com favicon
    OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI

    OpenAI is adopting Anthropic's 'skills' approach into ChatGPT and Codex CLI, using markdown files for context management and subagent orchestration.

  • simonwillison.net favicon
    OpenAI are quietly adopting skills, now available in ChatGPT and Codex CLI

    OpenAI has quietly adopted Anthropic's skills format, now available in ChatGPT's Code Interpreter and Codex CLI, using markdown-based skill folders for file operations and code generation.

  • cookbook.openai.com favicon
    GPT-5.1-Codex-Max Prompting Guide

    OpenAI recommends migrating to the Codex-Max agentic model using the codex-cli prompt, compacted context, and specific tools for best performance on complex coding tasks.

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