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In this video I walk you through downloading the brand‑new OpenAI Codex AI agent, installing it for free (limited time only) and using it inside VS Code to create a classic chess game from scratch. You’ll see the step‑by‑step setup, how to run the project locally, and how to add powerful skills like Notion, virtual deployment, and more.

🤘First Impressions - 5.3 Codex has been crushing it. After a day of coding with it I haven't found a 3x cost reason to switch back to Opus. Still evaluating but so far it's been awesome. Let's Go #codex #openai #digitalforensics #startup #letsgo

Meet our coding agent: Codex. Build new projects or features for your app – just from a prompt. 📹: Katia Gil Guzman / OpenAI Developer Experience Team

OpenAI just launched the Codex app. Codex is a desktop AI coding agent that runs locally, understands your full codebase, and works across files, commands, and multi-step engineering workflows. What really differentiates it are Skills and Automations. Skills let you package repeatable engineering workflows so Codex can reliably follow a process across projects and teams. Automations let Codex run scheduled agent tasks like scanning commits for bugs, summarizing Git activity, or drafting release notes on its own. This is not just about writing code faster. It’s about delegating real project-level work to an AI agent. Go check it out at openai.com/codex. PS: This is not the same Codex you might remember. The original Codex, launched in 2021, was a model focused on code generation and autocomplete. The Codex app is a full desktop application built on top of that idea, turning the model into an agent that can see your repo, run commands, and execute end-to-end workflows.

For beginners because I know that having an ~agent~ do something for you may be a scary. But hopefully this is step one in understanding your agent needs boundaries that will be defined by you! #agent #claudecode

Claude Code context window tip: reduce token usage by up to 98%. MCP tools are great for giving your AI agents abilities. But every tool interaction fills your context window from both sides... tool definitions going in, raw output coming out. Context Mode MCP fixes this. It's been validated across 11 real-world scenarios, including test triage and error diagnosis. If you're using Claude Code or any MCP-based agent, your context window is your most expensive resource. Stop wasting it. How to reduce Claude Code token consumption? What is Context Mode MCP server? How to save context window with MCP tools? #ai #aitools #coding #programming #chatgptprompts

Here's why GPT-5.3 Codex may beat Opus 4.6... 🤯 25% faster. Half the tokens. Beat Opus 4.6 on Terminal-Bench (75.1% vs 69.9%) 🔥 Desktop automation went from basically useless to nearly 65% on OSWorld — the BIGGEST upgrade in this version. It's the first GPT rated High for cybersecurity, and OpenAI used early builds to debug its own training. Insane. Oh and it's 3x cheaper on input tokens than Opus 4.6 💡 Codex 5.3 = speed + efficiency + cybersecurity Opus 4.6 = deep reasoning + complex coding 👇🏼💬 What model are you using? Drop it in the comments.

Comment “LEADS” if you want a step-by-step tutorial on how to install Claude Code and our weekly AI newsletter with practical strategies to grow your business 📩 We use this to pull and research leads for our own business — it ranked 200 leads in 30 seconds, sorting every single one based on our exact service criteria. First go to Apeify and grab your free API key. Then open Claude Code and tell it to connect with your token. From here, just ask Claude to pull all the leads in your area. It finds hundreds of potential clients and sorts them by who’s most likely to buy from you. No cold DMs. No guessing. Just qualified leads ranked and ready to go. #aileadgeneration #leadgeneration #aiforbusiness #claudeai #businessautomation

Multi Skill Workflows. Building multi-skill workflows was a huge productivity unlock. You can tweak, evaluate, and improve each step, but also get the benefits of large scale fully composed end to end automations. You can do this with Claude, Codex, or any other agent that supports skills. #ai #llms #claudecode #maven

underoptimized providers are cooking your wallet #claude #softwareengineer #themeexperiment

using codex after hitting claude code limits feels like going back to a shitty ex
Top Creators
Most active in #codex-multi-agent
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #codex-multi-agent ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #codex-multi-agent. Integrated usage of #codex-multi-agent with strategic Reels tags like #multi and #agent is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #codex-multi-agent
Expert Review • June 5, 2026 • Based on 12 Reels
Executive Overview
#codex-multi-agent is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 2,058,226 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @anipottsbuilds with 821,603 total views. The hashtag's semantic network includes 17 related keywords such as #multi, #agent, #codex, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 2,058,226 views, translating to an average of 171,519 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.
The highest-performing reel in this dataset received 821,603 views. This viral outlier performance is 479% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #codex-multi-agent ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @anipottsbuilds, has contributed 1 reel with a total viewership of 821,603. The top three creators — @anipottsbuilds, @mar_antaya, and @openai — together account for 67.3% of the total views in this dataset. The semantic network of #codex-multi-agent extends across 17 related hashtags, including #multi, #agent, #codex, #agents. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #codex-multi-agent indicate an active content ecosystem. The average of 171,519 views per reel demonstrates consistent audience reach. For creators using #codex-multi-agent, posting consistently with trending audio and relevant angles will help you get noticed.
Analyst Verdict
#codex-multi-agent demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 171,519 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @anipottsbuilds and @mar_antaya are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #codex-multi-agent on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.












