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Auto-review is a new mode that lets Codex work longer with fewer approvals and safer execution. It helps Codex keep moving through tests, builds, and more, including during long tasks and automations, while a separate agent checks higher-risk steps in context before they run.

OpenAI Developers

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438,502 görüntüleme • 5 ay önce •via X (Twitter)

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OpenAI launched Codex, a new coding agent that builds features and fixes bugs autonomously It can work on many tasks in parallel, navigate codebases, implement changes, and propose pull requests for review Available for Pro, Enterprise, and Team users

OpenAI launched Codex, a new coding agent that builds features and fixes bugs autonomously It can work on many tasks in parallel, navigate codebases, implement changes, and propose pull requests for review Available for Pro, Enterprise, and Team users

Brett Adcock

16,419 görüntüleme • 1 yıl önce

gpt-6 astra arrived with experimental codex features which are f**king insane... including a new way to carry context across long tasks. [here is what to setup today] 1) context management → notes and searchable history across context windows rollout 2)budgets → track a configured token budget during a task 3) sleep prevention → keep your computer awake while codex works astra’s experimental context management is off by default. the other switches are worth checking in your installed version too. paste this into codex: “inspect my installed codex version and experimental feature flags. check whether astra’s new context management is fully enabled. explain which other features would help my workflow, verify the exact configuration, and show me a proposed diff before changing anything.” or start with codex features list yourself. a model upgrade is worth exploring beyond the model picker.

gpt-6 astra arrived with experimental codex features which are f**king insane... including a new way to carry context across long tasks. [here is what to setup today] 1) context management → notes and searchable history across context windows rollout 2)budgets → track a configured token budget during a task 3) sleep prevention → keep your computer awake while codex works astra’s experimental context management is off by default. the other switches are worth checking in your installed version too. paste this into codex: “inspect my installed codex version and experimental feature flags. check whether astra’s new context management is fully enabled. explain which other features would help my workflow, verify the exact configuration, and show me a proposed diff before changing anything.” or start with codex features list yourself. a model upgrade is worth exploring beyond the model picker.

Avid

59,609 görüntüleme • 23 gün önce

I use subagents for ~80% of my Codex tasks these days. If you're new to subagents, here's a quick primer: - Subagents = separate agents that work on a specific piece of work in a fresh isolated context window. - Your main thread can create subagents and delegate work to them. - Subagents report back when tasks are complete. - Codex subagents are especially useful for read-heavy tasks (e.g research, investigation, and review). - Also useful for testing and building parts of a project in parallel. Subagents are great for working on focused parts of a big task, like planning, implementation, testing, or review. My biggest pro tip for using subagents in Codex: You don’t have to design the entire delegation plan yourself. Just ask Codex to “Use subagents as needed,” and then Codex can then decide where subagents would help it in the task. Here's a demo of using subagents in Codex:

I use subagents for ~80% of my Codex tasks these days. If you're new to subagents, here's a quick primer: - Subagents = separate agents that work on a specific piece of work in a fresh isolated context window. - Your main thread can create subagents and delegate work to them. - Subagents report back when tasks are complete. - Codex subagents are especially useful for read-heavy tasks (e.g research, investigation, and review). - Also useful for testing and building parts of a project in parallel. Subagents are great for working on focused parts of a big task, like planning, implementation, testing, or review. My biggest pro tip for using subagents in Codex: You don’t have to design the entire delegation plan yourself. Just ask Codex to “Use subagents as needed,” and then Codex can then decide where subagents would help it in the task. Here's a demo of using subagents in Codex:

Avthar

18,444 görüntüleme • 29 gün önce

ChatGPT Voice is now available on Desktop in Work and Codex! And your Codex Micro is already fully compatible with it. It's never been easier to talk to your computer, launch and manage Codex tasks, and basically do anything with Codex. A truly feel AGI moment to me.

ChatGPT Voice is now available on Desktop in Work and Codex! And your Codex Micro is already fully compatible with it. It's never been easier to talk to your computer, launch and manage Codex tasks, and basically do anything with Codex. A truly feel AGI moment to me.

Thomas Ricouard

20,192 görüntüleme • 2 ay önce

Windows users, this one’s for you. Computer use now works on Windows, so Codex can take action on your Windows computer. And with Windows support for Codex in the ChatGPT mobile app, you can start, review, and steer tasks on the go while work continues on your Windows machine. An early experience, but we’re working on more ways to keep your work moving, wherever you are.

Windows users, this one’s for you. Computer use now works on Windows, so Codex can take action on your Windows computer. And with Windows support for Codex in the ChatGPT mobile app, you can start, review, and steer tasks on the go while work continues on your Windows machine. An early experience, but we’re working on more ways to keep your work moving, wherever you are.

OpenAI

1,409,352 görüntüleme • 4 ay önce

this is f**king gold someone mapped the research behind AI agents reviewing other AI agents, including 116 real coding tasks with Claude + Codex the pairing matters more than people think 1. Claude reviewing Codex pushed 71.6% → 89.7% 2. Codex self-review reached 84.5% 3. Codex reviewing Claude dropped 91.4% → 82.8% the graph connects this to self-repair, code review and multi-agent verification the takeaway is simple: the best agent is not always the best reviewer save this before letting one model write the code and approve itself

this is f**king gold someone mapped the research behind AI agents reviewing other AI agents, including 116 real coding tasks with Claude + Codex the pairing matters more than people think 1. Claude reviewing Codex pushed 71.6% → 89.7% 2. Codex self-review reached 84.5% 3. Codex reviewing Claude dropped 91.4% → 82.8% the graph connects this to self-repair, code review and multi-agent verification the takeaway is simple: the best agent is not always the best reviewer save this before letting one model write the code and approve itself

Gipp 🦅

12,632 görüntüleme • 1 ay önce

Vellum released a voice mode! 🔥 A real-time voice loop that lets you have a real conversation with your AI assistant while it does the work for you. It comes with first-class interruption handling and context switching without blocking long-horizon tasks.

Vellum released a voice mode! 🔥 A real-time voice loop that lets you have a real conversation with your AI assistant while it does the work for you. It comes with first-class interruption handling and context switching without blocking long-horizon tasks.

🚨 AI News | TestingCatalog

17,876 görüntüleme • 2 ay önce

Glen is building the organizational learning and context layer for agents. Every agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes. Glen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before. 29% less context and 21% faster to be exact. And Glen does more... > query the original agent behind any line of code > search every session your org has ever run > dynamic skill distillation > multiplayer agents > unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, > a company brain in Slack. Glen is in early access, sign up for the waitlist below.

Glen is building the organizational learning and context layer for agents. Every agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes. Glen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before. 29% less context and 21% faster to be exact. And Glen does more... > query the original agent behind any line of code > search every session your org has ever run > dynamic skill distillation > multiplayer agents > unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, > a company brain in Slack. Glen is in early access, sign up for the waitlist below.

Nikos

19,883 görüntüleme • 1 ay önce

IF YOU’RE STILL COPY PASTING BETWEEN CLAUDE, CODEX AND GROK, YOU’RE NGMI today we are launching October to fix this give October the goal, and it checks: > which harnesses you have > remaining usage > what worked well for similar tasks before then it picks the team, connects them, splits the work and lets them coordinate directly. e.g. codex with 20l 5.6 can lead, fable can review and grok can execute and the whole thing is multiplayer 🎃

IF YOU’RE STILL COPY PASTING BETWEEN CLAUDE, CODEX AND GROK, YOU’RE NGMI today we are launching October to fix this give October the goal, and it checks: > which harnesses you have > remaining usage > what worked well for similar tasks before then it picks the team, connects them, splits the work and lets them coordinate directly. e.g. codex with 20l 5.6 can lead, fable can review and grok can execute and the whole thing is multiplayer 🎃

Harsh Savergaonkar

15,047 görüntüleme • 28 gün önce

new codex app first impressions! - pros: reliably coding in swift 🤍, a nice UI for kicking off concurrent threads/alerts, clearly there is a lot to unpack across automations/skills - asks: would love to see more killer use cases for automations, perhaps broken down by product type (iOS, web, electron); had some wrangling on chat context & a feature I expected to be more straightforward overall: I am bought in that a clean/beautiful UI for coordinating many agents (some with long running tasks) is powerful; I sense there's a lot more to unlock with time. I still want the ability to quickly switch between codex and claude code, as they seem to excel in different (+ complementary) dev tasks

new codex app first impressions! - pros: reliably coding in swift 🤍, a nice UI for kicking off concurrent threads/alerts, clearly there is a lot to unpack across automations/skills - asks: would love to see more killer use cases for automations, perhaps broken down by product type (iOS, web, electron); had some wrangling on chat context & a feature I expected to be more straightforward overall: I am bought in that a clean/beautiful UI for coordinating many agents (some with long running tasks) is powerful; I sense there's a lot more to unlock with time. I still want the ability to quickly switch between codex and claude code, as they seem to excel in different (+ complementary) dev tasks

ashe

15,974 görüntüleme • 7 ay önce

Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.

Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.

OpenAI

13,229,282 görüntüleme • 5 ay önce

CODEX SKILL THAT FINDS COMPLEXITY HOTSPOTS IN YOUR CODEBASE! I made a Codex skill that analyzes your codebase and reports where performance can be improved safely. Scan your project while Codex checks loops, repeated lookups, render-heavy code, N+1 patterns, and places where complexity can potentially be reduced without breaking behavior. -> codebase complexity analysis -> O(n²), O(n*m), repeated scan detection -> before/after complexity estimates -> safe optimization suggestions -> risk level + tests needed -> report-only mode by default -> one-command install Install: npx --yes codex-complexity-optimizer 100% open source. Repo in Bio.

CODEX SKILL THAT FINDS COMPLEXITY HOTSPOTS IN YOUR CODEBASE! I made a Codex skill that analyzes your codebase and reports where performance can be improved safely. Scan your project while Codex checks loops, repeated lookups, render-heavy code, N+1 patterns, and places where complexity can potentially be reduced without breaking behavior. -> codebase complexity analysis -> O(n²), O(n*m), repeated scan detection -> before/after complexity estimates -> safe optimization suggestions -> risk level + tests needed -> report-only mode by default -> one-command install Install: npx --yes codex-complexity-optimizer 100% open source. Repo in Bio.

Kappaemme

299,676 görüntüleme • 4 ay önce

OPANAI 👀: ChatGPT Work arrived as a new AI Agent, along with a completely new app based on Codex Desktop. > Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done. A merge into a Super App is complete 🤖

OPANAI 👀: ChatGPT Work arrived as a new AI Agent, along with a completely new app based on Codex Desktop. > Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done. A merge into a Super App is complete 🤖

🚨 AI News | TestingCatalog

34,254 görüntüleme • 2 ay önce

🥅 /goal has graduated from an experiment—for tasks big and small, Codex gets your work done. Use goal mode in the Codex app, IDE Extension, or CLI to give Codex a specific milestone, and it will keep working until it gets there, even across hours or days. You can check in and steer, and even pause Codex along the way. Pro tip: start side chats to understand the work that has been done so far without having to interrupt the main task.

🥅 /goal has graduated from an experiment—for tasks big and small, Codex gets your work done. Use goal mode in the Codex app, IDE Extension, or CLI to give Codex a specific milestone, and it will keep working until it gets there, even across hours or days. You can check in and steer, and even pause Codex along the way. Pro tip: start side chats to understand the work that has been done so far without having to interrupt the main task.

OpenAI Developers

442,913 görüntüleme • 4 ay önce

Codex can now take on more of your browser dev work. With the new Chrome plugin in the Codex app, it can test web apps, gather context across tabs, use web DevTools efficiently in parallel, and keep results organized without taking over your browser.

Codex can now take on more of your browser dev work. With the new Chrome plugin in the Codex app, it can test web apps, gather context across tabs, use web DevTools efficiently in parallel, and keep results organized without taking over your browser.

OpenAI Developers

231,432 görüntüleme • 4 ay önce

We’re excited to launch the Codex app, a command center for building with agents. It gives you a focused space to manage multiple agents at once, run work in parallel, and collaborate with agents over long-running tasks.

We’re excited to launch the Codex app, a command center for building with agents. It gives you a focused space to manage multiple agents at once, run work in parallel, and collaborate with agents over long-running tasks.

OpenAI Developers

1,306,936 görüntüleme • 7 ay önce

evo v0.3 is now out! evo now has RLMs, forked context agents and much more ! read the thread for more details for those unaware : evo helps you run autoresearch on your codebase. its a simple claude code / codex / openclaw / hermes agent plugin that's super easy to install and get started with here's whats new in v0.3 -

evo v0.3 is now out! evo now has RLMs, forked context agents and much more ! read the thread for more details for those unaware : evo helps you run autoresearch on your codebase. its a simple claude code / codex / openclaw / hermes agent plugin that's super easy to install and get started with here's whats new in v0.3 -

Alok Bishoyi

20,696 görüntüleme • 5 ay önce

codex computer use uses secret macos api it makes codex to work while you work with your computer, no need to use virtualized machine but that secret macos api is no longer a secret cuz i found it and re implemented it as an mcp lmao

codex computer use uses secret macos api it makes codex to work while you work with your computer, no need to use virtualized machine but that secret macos api is no longer a secret cuz i found it and re implemented it as an mcp lmao

Q

50,866 görüntüleme • 2 ay önce

With all the buzz around the Codex App, OpenAI Developers quietly snuck out a new CLI update (0.94.0) as well. And boy is it an important update! Codex Plan mode is now officially released to the general audience! I am very excited about this one as it has a really strong prompt that is unlike any other plan mode I've personally used. Codex Plan mode doesn't necessarily just ask you 3 questions up front. It goes, collects context, asks questions, collects more context, asks more questions (sometimes), and then writes an incredibly high quality plan. It is my favorite implementation of plan mode thus far. It also comes with Codex's own version of "AskUserQuestion!" Although, it only works in Plan mode for now. They really need to allow people to use it in Code mode as well, but one win at a time. npm i -g @openai/codex Below is a demo of how it works. Let me know what you think!

With all the buzz around the Codex App, OpenAI Developers quietly snuck out a new CLI update (0.94.0) as well. And boy is it an important update! Codex Plan mode is now officially released to the general audience! I am very excited about this one as it has a really strong prompt that is unlike any other plan mode I've personally used. Codex Plan mode doesn't necessarily just ask you 3 questions up front. It goes, collects context, asks questions, collects more context, asks more questions (sometimes), and then writes an incredibly high quality plan. It is my favorite implementation of plan mode thus far. It also comes with Codex's own version of "AskUserQuestion!" Although, it only works in Plan mode for now. They really need to allow people to use it in Code mode as well, but one win at a time. npm i -g @openai/codex Below is a demo of how it works. Let me know what you think!

am.will

57,121 görüntüleme • 7 ay önce

Your agent can now grow new abilities, just by asking. Reef now supports personalized harness evolution with /reefine: describe what you want your agent to do. Reef builds the change, checks it, and ships a new version. Examples: 💬 "> /reefine add a /chat mode for faster responses" 🔊 "> /reefine tell me out loud when you're done" ⚡ "> /reefine add jev as a tool": 120 papers screened in 9 s Works with any agent harness through a Reef adapter: Codex, Hermes, OpenCode, Pi and Terminus 2 today. Try it here: #agent #harness #rsi #llm

Your agent can now grow new abilities, just by asking. Reef now supports personalized harness evolution with /reefine: describe what you want your agent to do. Reef builds the change, checks it, and ships a new version. Examples: 💬 "> /reefine add a /chat mode for faster responses" 🔊 "> /reefine tell me out loud when you're done" ⚡ "> /reefine add jev as a tool": 120 papers screened in 9 s Works with any agent harness through a Reef adapter: Codex, Hermes, OpenCode, Pi and Terminus 2 today. Try it here: #agent #harness #rsi #llm

Ao Qu

98,490 görüntüleme • 3 gün önce