Rahul Somvanshi
OpenAI launched Codex on May 16, 2025 - a tool that transforms plain English instructions into working computer code, potentially revolutionizing how programmers work.
1. Photo Source: Open AI. Website
Codex operates in its own secure virtual workshop where it can safely write and test code without affecting other systems - taking between 1 to 30 minutes per task.
Photo Source: Edan Meyer. Youtube
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Tech company Temporal already uses Codex to handle basic coding tasks while their developers focus on solving more complex problems.
1. Photo Source: OpenAI. Youtube
Superhuman discovered an unexpected benefit - their product managers can now make simple code changes without always needing a programmer's help.
1. Photo Source: OpenAI. Youtube
The numbers reveal Codex achieved 75% accuracy on the SWE-Bench Verified benchmark when allowed multiple attempts - helpful but not perfect.
Photo Source: Edan Meyer. Youtube
Carnegie Mellon University doctoral students found that developers often prefer competing tools from companies like Anthropic - is Codex really the best option?
1. Photo Source: Edan Meyer. Youtube
Currently available to ChatGPT Pro, Team, and Enterprise subscribers, Codex will soon expand to other subscription levels with usage limits and pricing.
1. Photo Source: Open AI. Website
Security concerns? Codex works in an isolated environment without internet access - similar to coding in a sealed room.
Photo Source: Nemuel Sereti. Pexels
OpenAI is also upgrading its simpler version, Codex CLI, with faster response times and free API credits for Plus and Pro users.
Photo Source: OpenAI. Youtube
Security concerns? Codex works in an isolated environment without internet access - similar to coding in a sealed room.
The tool can't work with website designs yet and sometimes takes longer than traditional coding - limitations OpenAI acknowledges they're still working on.
Photo Source: Lisa from Pexels
Cisco, one of America's largest tech companies, is already exploring how Codex can help their engineering teams work faster and more efficiently.
1. Photo Source: Open AI. Website
As AI-assisted coding spreads across the tech industry, the key challenge will be balancing automation with human oversight and creativity.
Photo Source: Volker Agueras Gäng (CC BY 2.0)