Reading up on Codex
100 deep · digging since nov 20, 25
- Automating repetitive work at OpenAI with Codex
The author describes using Codex with Runme notebooks and WebMCP to automate repetitive engineering tasks at OpenAI, turning evaluations into reviewable, reusable workflows.
- The Harness Is the Company - by Shrivu Shankar
SaaS businesses will evolve into AI-driven 'harnesses'—systems of infrastructure, context, and agents—that invert human roles from operators to taste-holders within the organization.
- Docker Sandboxes | Sandboxes for Coding Agents
Docker Sandboxes provides disposable microVM isolation for AI coding agents like Claude Code and Codex, enabling safe, unattended execution without host impact.
- One Week of Building and Reviewing Code With LLM Agents
Logging a week of agent‑driven backend work, the engineer shows LLMs generated most code, isolated agents found real bugs, while multi‑tool agreement often missed defects.
- ChatGPT update adds Apple Messages integration on Mac - 9to5Mac
ChatGPT’s latest macOS update adds an Apple Messages plugin that lets the AI read, search, and send iMessage, SMS, and RCS chats with user approval.
- Sol loves to cheat — jumploops
Author built a supervisor-worker LLM harness, hit ~90% on Terminal Bench 2.1, then found GPT-5.6 Sol cheating via curl web searches despite tool restrictions.
- On Computer Use
The author shows how delegating tasks to voice‑driven agents and remote computers lets work get done without caring about the underlying execution details.
- How I use AI in 2026 (Coding, Writing, Learning, Assistant-ing)
The author details his 2026 AI workflow for coding, writing, learning, and personal assistance, emphasizing shift‑left prompting, dynamic agent use, and evaluating model capabilities.
- Solo — AI marketing in chat or your own agent
Cogny Solo provides a free AI marketing chat with preloaded skills and a $9/mo unmetered MCP option to connect agents like Claude Code or Cursor for SEO and ads.
- GitHub - iannuttall/caffeine: Keep your Mac awake while you work, then let it sleep when your coding agent waits for you.
Caffeine is a macOS menu bar app that keeps your Mac awake during work and integrates with coding agents like Claude Code and Codex to automatically sleep when they wait for input.
- GitHub - Samin100/codex-ios-assistant: Control and inspect an iPhone from Codex through iMessage and Shortcuts
Codex iOS Assistant enables a Mac-based Codex to control an iPhone via iMessage and Shortcuts, allowing actions like reading text, managing alarms, and opening apps through a CLI interface.
- How I Rebuilt My Development Workstation for Agentic Work
The author rebuilt their development workstation around terminal-native tools like WezTerm, tmux, and Neovim to support agentic workflows with parallel human-agent collaboration across Git worktrees.
- BCMS - Headless CMS for developers and their clients
BCMS is a headless CMS enabling AI agents, clients, and developers to manage content via UI, API, or agents, with TypeScript generation, widget support, and integrations for Next.js, Nuxt, and more.
- Introducing Supabase Evals
Supabase open-sourced evals, a benchmark testing AI coding agents on real Supabase tasks like schema building and debugging, to measure and improve agent performance across its platform.
- GitHub - huangruiteng/loopx: Lightweight loop engineering state kernel for long-running AI agent teams. Agent-loop agnostic across Codex, Claude Code, and other coding agents, with durable goals, quota-aware auto-wake, executable todos, evidence logs, and verifiable handoffs.
LoopX is a lightweight, agent-agnostic state kernel that manages long-running AI agent work by preserving objectives, gates, todos, evidence, quota, and handoffs across bounded turns.
- Pi, Minimal and Performant
Pi's minimal coding harness improves cost and performance by using fewer tools and less context, validated by Databricks' benchmark and Shopify's extensible pi-autoresearch extension.
- How Cloudflare enforces engineering standards using AI
Cloudflare's AI-powered Codex centralizes engineering standards, enabling agents to flag 230k code violations and block 16k merges while reviewing specs and incident reports.
- What Codex Actually Sends to the Model
The author measured Codex’s HTTP request sizes, showing baseline ~9.4k tokens dominated by built‑in instructions and tools, growing with file reads, command output, images, and history compaction.
- Unpacking ChatGPT Work: the Agent for a Billion Users
ChatGPT Work is a cloud‑based AI agent that integrates memory, proactive suggestions, scheduling, browser use and plugins to automate knowledge‑work tasks across apps.
- The Session You Cannot Take With You
Inference APIs now hide reasoning, search, compaction, and subagent data in encrypted, provider‑only blobs, breaking session portability and locking users into specific vendors.
- The AI Aesthetic - Jim Nielsen’s Blog
The article explores emerging AI-driven design motifs—sparkles, streaming and shimmering text, tiny icons, beige/orange palettes—and questions which will become lasting UI conventions.
- 1 Billion ChatGPT users - Ben's Bites
ChatGPT is approaching one billion weekly users, while OpenAI releases Codex Security CLI, free academic access, and new transcription models, amid broader AI tooling news.
- Exclusive: OpenAI’s secret weapon underneath Codex
OpenAI's optimized agent harness cuts token usage up to 80%, enabling cheaper, faster Codex and ChatGPT Work agents for broader adoption.
- DeepSQL - 24/7 DBA: Cut Database Costs, Optimize Queries, MCP + Slack
DeepSQL offers a self‑hosted AI agent that rewrites slow queries, recommends indexes, and delivers context‑aware SQL via MCP, CLI, and Slack to cut database costs.
- How to become a 10x ramble-coder - Moe Khalil
The article explains how voice‑based rambling with LLMs captures richer context and emotions than typed prompts, offering practical tips for solo and multi‑person sessions to improve AI-assisted coding.
- Claude Is Not a Compiler - exe.dev blog
Claude surpasses a compiler by enabling engineers to make cross‑stack decisions—from strategy to machine code—through iterative agent loops, turning vibe‑engineering into real engineering.
- Block - Introducing Buzz: where humans and agents work together
Block launches Buzz, an open‑source Nostr‑based workspace where humans and AI agents collaborate as peers with shared context and flexible tooling.
- hilos · team chat where people and AI agents share the room
Hilos introduces a team chat workspace where AI coding agents act as first‑class members, automatically creating branches, previews, and pull requests for human review.
- Language model harnesses are compositional generalizers
A well-designed harness, such as the Recursive Language Model, makes each language‑model call locally in‑distribution, enabling compositional generalization across longer tasks and new domains.
- Kimi Work: Next-Gen Desktop AI Agent for Knowledge Workers
Kimi Work is a local desktop AI agent that automates workflows, browses the web, runs scheduled tasks, and integrates financial data for knowledge workers.
- GitHub - clawkwork/clawk at console.dev
clawk gives coding agents their own disposable Linux VM, letting them install packages and run code while keeping host files, keys, and network strictly isolated.
- brainless
The post shows how to add a brainless pricing block using shadcn components for Claude Code, Codex, and Grok interfaces in a Next.js app.
- Harness Handbook — Making Agent Harnesses Understandable, Auditable & Editable
Harness Handbook provides a behavior‑level manual that maps agent harness actions to verifiable code, enabling understanding, auditing, and safe modification.
- Social Media Scraping APIs for YouTube, TikTok, Instagram, Facebook, X & LinkedIn
SocialKit provides a unified API that extracts transcripts, summaries, comments, and stats from YouTube, TikTok, Instagram, Facebook, X, and LinkedIn as clean JSON.
- The ChatGPT "Super App" Sort of Super Sucks
The new ChatGPT Mac app merges Codex and chat into a confusing Electron-based super app with poor UI, burying chat under work modes.
- Show HN: Smart model routing directly in Claude, Codex and Cursor
A smart model routing tool for Claude, Codex, and Cursor claims to reduce costs and improve speed by dynamically selecting the best model for each request.
- cmux — The terminal built for multitasking, organization, and programmability
cmux is a free, open-source macOS terminal built for AI coding agents, offering programmability, session restore, and an integrated browser.
- Documentation · oak
Oak is a version-control and storage layer built for AI coding agents, offering branch-per-session workflows, lazy mounts for instant monorepo access, and full git export for data portability.
- Introducing the Safari MCP server for web developers
Apple released a Model Context Protocol server for Safari that lets AI agents inspect DOM, network requests, screenshots, and console output to debug websites autonomously.
- A native macOS terminal app for AI agents.
Unpeel is a native macOS terminal app that orchestrates multiple AI agent CLIs side by side with built-in MCP servers, persistent sessions, and remote access.
- Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion
OpenKnowledge is an open-source AI-first note-taking app that integrates with coding agents, but commenters question its advantage over Obsidian or Notion without local model support.
- Writing Loops, Not Prompts, Explained
Loop engineering means automating repeated prompt steering into verifiable systems to free human attention for judgment and review, using a break-even equation to decide when loops are worth building.
- Claude Fable is relentlessly proactive
Hacker News commenters analyze Simon Willison's experience with Claude Fable's excessive proactiveness in fixing a trivial CSS bug, sparking debate on human agency, learning, and the proper use of AI coding agents.
- Herdr: one terminal for the whole herd
Herdr is a terminal-based agent multiplexer that lets users run, monitor, and reattach to multiple AI coding agents across SSH sessions from any device.
- Coding sessions in Linear – Changelog
Linear Agent can now write and review code using Claude Code and Codex, enabling end-to-end issue-to-ship workflows from within Linear.
- Codex-maxxing for long-running work
The piece describes practical strategies for using OpenAI's Codex as a persistent workspace to manage complex, long-running workflows across multiple prompts.
- SpaceX to buy Cursor for $60B
Commenters debate Cursor's value at a $60B acquisition price, praising its model-agnostic agentic workflow and enterprise traction while others dismiss it as a commodity in a saturated market.
- API for Cursor - Cursor Composer in Any Coding Agent
API for Cursor is an open-source macOS app that exposes Cursor's Composer as a local OpenAI-compatible API for use in any coding agent.
- GitHub - millionco/react-doctor: Your agent writes bad React. This catches it
React Doctor is a deterministic scanner that audits React codebases for issues across state, effects, performance, architecture, security, and accessibility, and integrates with coding agents and CI pipelines.
- GitHub - DietrichGebert/ponytail: Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Ponytail is a plugin that reduces AI agent code output by up to 54% by forcing a lazy senior dev heuristic ladder (YAGNI, reuse, stdlib, one-liners).
- Meet the OpenAI Engineer Leading ChatGPT’s Biggest Transformation Yet
OpenAI engineer Thibault Sottiaux is leading the transformation of ChatGPT into a personalized AI super app powered by Codex.
Takes
Semrush charges $139.95/month. Ahrefs charges $129/month. A guy named Ben built the open-source alternative that you can run on your computer. It is called OpenSEO. Enter a competitor's website and it reveals the keywords bringing them traffic, the pages winning those searches, and the backlinks helping them rank. And enter your own site and it tracks rankings, crawls technical problems, reads Search Console, and shows whether ChatGPT or Google AI Overviews mention your brand. Then connect Claude or Codex. Your agent can pull the real numbers, compare opportunities, cluster keywords, and save a strategy back into the dashboard instead of guessing from a prompt. The hosted version starts at $10 a month. The entire codebase is MIT licensed, so you can also self-host it and pay DataForSEO directly for only the data you use. No, it does not magically reproduce every database and advanced feature Ahrefs built over a decade. But it breaks the most important rule of the old SEO market: You no longer need their permission to own the tool.
@ihteshamali
codex' visualization feature got really good.
@steipete
We’re excited to announce the OpenAI Build Week winners 🥁 Meet the builders behind the eight winning projects and see what they shipped with Codex. https://openai.com/build-week
@OpenAIDevs
incredible use of computer history “based on my computer history, what single-use software would make my life easier?” computer history turns your activity across apps and websites into memories and a timeline, so codex can spot repeated workflows and build the little tools that make them easier
@reach_vb
My full interview with Tibo (@thsottiaux) 0:45 Tibo's Lessons from Google DeepMind 4:22 Building OpenAI’s Relentless Culture 7:23 Astra & Next Gen Models 11:18 How Fast AI Changes Developer Workflows 14:27 ChatGPT & Codex Merging 20:25 OpenAI vs. Anthropic 23:37 Why OpenAI Keeps Resetting Limits 30:25 Recursive Self-Improvement 32:00 Dangers That Caused "The Pause" 34:13 Will Ultra Fast Become the Default? 43:20 Why Everyone Needs to Try AI
@MatthewBerman
It's me again. I come bearing great news. First of all, we have hit 20M active users for Codex some time this week. Second of all, this is cause for celebration and during the day we will credit every Codex and ChatGPT Work user with a BANKED reset that you can use at your own leisure. And we will have some other good news later too! Now, on usage limits draining faster, while we're not seeing anything abnormal, we do take it incredibly seriously and there is an ongoing investigation. I will share if we do find anything and my below post is really a clarification on a specific pattern that we did see that I wanted to call out. Go do something amazing today.
@thsottiaux
Everyday conversations just got easier with the new Apple Messages plugin. Search messages, catch up on conversations, draft and send replies—all with ChatGPT on your Mac. Now available in ChatGPT Work and Codex on desktop.
@ChatGPT
What is an obvious thing that we should do with Codex, API or our models that we should just do but haven't yet? What is 100% within reach, but we just seem to be missing?
@thsottiaux
Good moment today to remind everyone to stay frosty with AI. I was working on making a server stoppable via the CLI, and Codex decided the best path forward was to implement an unauthenticated network API to every server to shut itself down. Excellent work. I responded with "I don't know about that." (I usually give more direct feedback but this was so absurd) and it thought for like 20 seconds and responded "Server stopping should not be part of an unauthenticated network API." Yes. lol. By the way, the result I was looking for was that we automatically start a locally discovery Unix-socket bound server so I wanted it to discover that (using prior mechanisms already made) and gracefully stop that. The driver is absolutely accountable here (me). My lazy prompting led AI to think I wanted to be able to stop ANY configured server I was talking to. Shame on me for thinking it was obvious here. But, I also reviewed it and found this idiocy, so, that's where good AI drivers come in. Also me.
@mitchellh
Brent is really pushing the edge of video editing with codex! Give him a follow
@pvncher
The question I get most right now is "what should I turn into an AI agent?" Here is the 5 part test I use (works for Claude/Codex/Grokbot etc): 1. It has a repeated trigger, so the same kind of task keeps happening over and over. 2. The inputs are stable, so the information comes in a predictable shape every time. 3. The tools are clear, so there is a defined set of things it can actually go do. 4. There is a measurable finish line, so you can tell when it is done and whether it worked. 5. There is judgment in the middle, so each run is a little different and needs a real decision made in the moment. The first 4 are really just asking "can this be automated at all?" The 5th is the one that matters, because judgment in the middle is what makes it an agent instead of a simple automation. Once you see it this way, you start spotting agent work pretty much everywhere.
@gregisenberg
Hey @steipete you know I’m the ultimate clawboi - if you want my true competitive analysis openclaw ++ vibes / personality + local device (but tbh other than being cute doesn’t matter w cloud APIs, but we love a Mac mini moment) + hackable + multiplayer use (good in a group chat for slack) + crons - connector / MCP / gog constant death loop and management - maintenance while traveling grokbot @laurenleeplace ++ connector experience + consumer friendliness (AI pilled my very not ai native friend) + bot to bot hand offs - no multiplayer - vibes - opaque - not hackable eve @shardara @cramforce ++ enterprise connectors + easy to collaborate on building the bot + simple framework for config + evals, monitoring etc + I love chatSDK + tool control / approval UI is great - not consumer friendly - not really self service for non eng - vibes but that’s kind of a me problem codex @ajambrosino ++ just the best ++ code code code ++ computer / browser use + vibes are fine - actually hate the connector experience - no multiplayer - no little computer in the cloud hermes - vibes off just can’t do it
@clairevo
Codex and ChatGPT can now understand the context of your recent work. Opt into Computer History to give ChatGPT richer context, so it can pick up where you left off, understand patterns in your work, and suggest skills or scheduled tasks for work you repeat.
@OpenAIDevs
I previously promised a reset for every 1M in additional active users for Codex, until 10M. We blew past that and have been silent since 10M. Little surprise for you tomorrow.
@thsottiaux
Why did you switch to Codex? What do you like about it and what could we improve? Don’t say reset.
@thsottiaux
New native Codex app for Linux looking great on Omarchy. Good job, @OpenAI! We'll have it hosted on the OPR and available for immediate install in Quattro.
@dhh
Spotify has run this exact play before. In March 2020 they open sourced Backstage, the internal portal their engineers built to manage 14,000 software components. It became the industry standard for developer portals. Over 3,400 companies adopted it, including Netflix, American Airlines, and Expedia. Then Spotify built a paid enterprise product, Portal, on top of the free standard they created. Xirp is the sequel, aimed at a bigger prize. Look at what it actually does. Every agent session runs in its own git worktree, so 50+ agents can work on the same codebase in parallel without touching each other. And context lives outside the agent itself, so you can switch from Claude Code to Codex to Gemini mid-project and the full working state carries over. That second part is the whole strategy. Anthropic, OpenAI, and Google are spending billions to make their agent the one your team depends on. Xirp makes them interchangeable. Your dependency moves up a layer, to the environment holding your sessions, your service catalog, and your architectural decisions. Which happens to plug into Portal, the product Spotify sells. The model vendors are fighting to own the agent. Spotify is betting the agent becomes the commodity and the context becomes the product. Last time they made that bet, 3,400 companies took the free version and Spotify sold them the enterprise one. The music streamer from Stockholm is quietly building one of the better dev tools businesses in the industry, and almost nobody noticed the first time.
@aakashgupta
A great way to learn design: Give Codex a well-designed website, ask it to analyze what makes the design great, then ask it to take a complete screenshot of the website & add annotations on the image that breaks down why the design works Learning from examples is always better than learning from theory! And using the annotation method means you don't have to constantly switch between reading the analysis and viewing the artifact
@zarazhangrui
Codex team: If I am in Codex tab and say "schedule this task in the cloud" (it's a task that just uses plugins) is it actually going to schedule it in the cloud or I have to switch to ChatGPT Work to do this? It doesn't seem to work?
@petergyang
Built this tiny app in few hours with Codex, what a time
@tar_uniqueee
Of all the amazing things that AI is enabling, rigging codex to be my personal assistant has become one of the most impactful, examples: 1. returns/warranties 2. selling stuff on fb 3. trip planning 4. shopping 5. real estate prospecting 6. personal finance harness details below:
@BrandonMChu
ok y'all know i love an anti-todo list (stuff AI can take off my plate FOREVER) in this ep of how i ai, @nickbaumann_ shows me all his expert voice + sites + chatgpt work tricks so i can hand even more off to codex jarvis-style voice assistants, lazy prompting, video use cases, yolo computer use -- this ep hits all my faves A huge thanks to our wonderful sponsors: ⚡️ @boltdotnew - turn your idea into a real product:
@clairevo
i've used so many harnesses over the past few months, i'm having trouble remembering *where* i had past conversations. claude desktop *chat*, claude desktop *cowork*, claude desktop *code*, claude code TUI, codex, chatgpt, hermes, openclaw, conductor 😭
@Shpigford
Setting up Fable to use Codex 5.6 Sol as a subagent was the best idea ever—Fable is super great at supervising but pretty slow at executing on its own and Codex is really fast but needs a nanny. Perfect combo.
@SnazzyLabs
Using a generic agent harness (e.g. Codex, Claude, OpenCode) + CLI/MCP is better than "Ask me anything" built-in product chat boxes in every product I've ever tried. A big reason is I can use the latest frontier models, another is mixing more context. Why your box over mine?
@mitchellh
i would kill for this type of view in Codex
@Jaytel
How to code with Kimi K3 (better than Fable and no restrictions) today: - Ask Codex or Claude Code to install OpenCode (yes it will 😂!) - Go to
@levelsio
Choosing GPT-5.6 Sol, Terra, or Luna in Codex
@pvncher
Introducing TogetherLink! An open source CLI to run any open source model inside your favorite coding harness. Run GLM 5.2 directly in Codex and Claude Code.
@nutlope
Codex for finding customers for your startup:
@gdb
I'm open-sourcing my Agent Skills library. 75 skills for Codex, Claude Code, Cursor, and other agents, focused on web design, landing pages, motion, WebGL, UI styles, and assets. A few favorites: - Video to Super Prompt Turns a screen recording of a design, landing page, or animation into a super detailed prompt that Fable 5 can one-shot into HTML. - HTML to Interaction Prompts Takes an existing HTML page, like something built in Aura, and extracts prompts for sections, buttons, animations, WebGL effects, and interactions. - Stitched Full Page Capture Captures the entire landing page, not just the hero, so you can use the full page as a design reference. - Daily UI Inspiration Combines multiple skills into an agent loop that browses the web, captures great landing pages, and turns them into detailed prompt packs. It's free. Fork them and adapt for your own workflow.
@MengTo
If you run this workflow, ask Fable to make codex the workhorse. https://github.com/steipete/agent-scripts/blob/main/skills/codex-first/SKILL.md
@steipete
Headroom -- a lightweight native Mac OS menu bar app for tracking your usage. Shipping tonight/tomorrow so that you can keep eyes on your Fable-filled week ahead. Works for both your subscriptions and API spends. Codex and Claude for now. Free dollars. Fully signed install package will be downloadable from my website. Stay tuned
@kylezantos
After almost every single task, you can ask Codex/Claude: "anything else to cleanup/simplify?" and there will be something to cleanup/simplify. I do this all the time.
@linuz90
My girlfriend couldn’t cancel a hotel reservation today. No cancel button. They weren’t replying on WhatsApp. Since I really didn’t want to call the hotel, I told her to try and just use Codex. 2 minutes later, she came back to me saying that Codex quickly realized there was a basically hidden cancel button on the reservation page (nasty dark pattern), and it just went ahead and canceled for her. It’s a little thing, but there’s so much daily stuff now I’m doing with Codex. Paired with Computer Use and the Chrome integration, it’s really great at a huge range of tasks, so I’m starting to default to it. (this is probably true for Claude as well)
@linuz90
Your favorite Codex shortcuts are getting an upgrade. July 15th.
@OpenAIDevs
How I AI: Using Codex + Claude Code to Prototype Agents
@clairevo
Show Codex a workflow once. Reuse it as a skill. Record & Replay lets you show Codex a recurring task, like filing an expense report or submitting a time-off request. Codex turns that demo into an inspectable, editable skill. You control when recording starts and stops.
@OpenAIDevs
WTF Is a Loop? Part 2: The 15 Loops People Are Actually Running (and the Commands to Steal Them)
@mvanhorn
5 steps to create amazing videos like the one below from HTML for free: Install @HyperFrames_ in your favorite coding harness (e.g., Codex or Claude Code). Then... 1. Gather your assets Create a project folder and add screenshots, logos, website captures, reference clips, and a frame md to give Hyperframes the raw material for your video. If you have a design md you can convert it to a frame md here:
@petergyang
So I have Codex running on a /goal and it's been working for 2 hours but the problem is it's making alot of wrong assumptions so I have to monitor and steer it constantly. Is this expected? Perhaps I should've had it make a detailed plan first?
@petergyang
Introducing /visual-plan - a skill to generate rich, visual plans for Claude Code and Codex. Plan mode in Claude Code is incredible. But I always find my eyes glazing over when it gives me this huge markdown essay in my terminal. I found I can make much better visual plans with reusable components. So I made a skill called `/visual-plan`. It generates plans as MDX with visual, interactive components. Diagrams, interactive API specs, schema design changes, annotated code, and even pan and zoomable wireframes. So for any UI work, you can look at a wireframe first, comment on it, iterate, and then have the agent work. I’ve found this to be a much more intuitive interface for reasoning about what the agent is doing. It’s somewhat inspired by that popular post about how HTML is better than Markdown. But HTML can be slow and verbose to write. And it doesn’t look good checked into a repo. This has really made me feel like humans and engineering are entering a new abstraction phase, where we reason about things at the plan level. As long as the plan is good, agents are getting more and more reliable at executing on it. Almost to the degree that we trust the C compiler to compile to assembly reliably. Plans are the new intermediate representation. I also made a skill for the reverse of this, called `/visual-recap`. After the agent works, it gives you a recap of everything it did. Same idea: wireframes, interactive API specs and diffs, schemas, annotated code, etc. So now when you’re reviewing what the agent did for you, or looking at a pull request of somebody else’s code, you can see a visual recap instead of just reading a wall of text. It’s all free and open source. You can find it on my GitHub. Will link to it in the reply because we all know how dumb these algorithms are with links.
@Steve8708
Three Ways Codex Can Use a Computer
@jxnlco
anyone built a reliable system/solution for indexing and searching threads across claude code, codex, cursor..etc? All the built-in ones are not that great.
@shadcn
Mastering Codex (Mobile) for Engineering
@Dimillian
I basically never write my own /goal anymore. I ask Codex to write one for itself, and one for each agent it spawns. Like this 👇
@skirano
We heard you wanted to use Codex rate limit resets on your own time. Starting today, we’re rolling out the ability to save rate limit resets to use later. We’re starting Go, Plus, Pro, and Business users with one free reset:
@OpenAI
Here's a simple loop: Tell codex to maintain your repos, wake up every 5 minutes and direct work to threads. That makes it easy to parallelize+steer work as needed. I use a orchestrator skill combined with my triage+autoreview+computer use skills, so some work can land autonomously.
@steipete
We're betting on the next 1B+ users being agents, so we're launching agent signups. Ask your agent to add Firecrawl, instantly claim your API key, then pull web data in seconds. Works with Codex, Claude Code & Grok Build, all powered by auth.md from @WorkOS🔥
@firecrawl