- Prompt and Profit
- Posts
- Codex Review: OpenAI's New Dev GPT
Codex Review: OpenAI's New Dev GPT

Hey, Jeremy here - today we’re reviewing Codex from OpenAI.
Main points from this edition:
👉 Codex is a full-stack AI coding assistant: Your prompts turn into production-ready Python, JS, SQL, and more.
👉 Best for builders with a clear use case: Developers, product teams, and indie hackers can prototype apps, landing pages, or entire MVPs in days.
👉 Alternatives exist, but none as autonomous: Softr/Bubble nail no-code speed, Copilot offers budget autocomplete.
👉 Were you sent this post? Join free today
Psst — a brand‑new Dev GPT just dropped, and it writes (near) production‑ready code while your coffee’s still dripping.
Let’s pop the hood on Codex and see why the dev world is buzzing.
What is Codex?
Codex is an AI-powered coding assistant that converts plain-language prompts into production-ready code. Trained on billions of public code lines and paired with OpenAI’s latest reasoning engine, this Dev GPT:
writes, refactors, and explains code inside your IDE or via API
understands dozens of languages (Python, JavaScript, TypeScript, Go, Rust, and more)
spins up test environments, containerizes projects, and even submits pull requests—no coffee-fueled night shift required.
Think of Codex as the somewhat over‑qualified junior developer who never sleeps, never complains about tickets, and happily digests your plain‑English prompts into fully‑functional code.
Built on OpenAI’s codex‑1 model (a close cousin of the o3 reasoning engine), Codex lives in the cloud, spins up its own sandbox, and tackles everything from “add Stripe to my checkout” to “refactor this spaghetti.” It ships today to ChatGPT Pro, Team, and Enterprise users, with Plus access coming soon.
Benefits of Codex
For developers → Slash boilerplate, auto‑debug nasty stack traces, and push features before lunch.
For product & marketing teams → Prototype interactive demos or landing pages without waiting in the dev queue.
For startups → Spin up MVPs in days, not quarters, while investors are still reading your deck.
Top Codex Features
Codex isn’t a glorified autocomplete—it’s a full-stack teammate/assistant that can design, code, and document features end-to-end.
Fluent in dozens of languages — Python, JavaScript, TypeScript, HTML/CSS, SQL, Ruby, Go, Rust, and more.
Natural‑language coding — Describe the feature, watch Codex scaffold files, write tests, and cite every shell command it ran.
Parallel tasking — Fire off multiple tickets; each lives in its own containerized environment with real‑time logs.
Seamless integrations — Drop the Codex API into VS Code, GitHub Actions, or your CI pipeline and let it open pull requests for review.
Live explanations — Ask why a block exists and Codex annotates the diff like a friendly senior engineer.
Challenges with Codex
Let’s keep it real — superpowers come with fine print:
Initial setup — If you’re not a dev, expect 2–3 hours wrangling GitHub auth, API keys, and server ports. I burned a late Friday night (with o3 coaching me) getting my “Minimum Viable Potato” content‑production app running.
Here is a preview of the code output (this took <10 min with some light prompt q/a):

..and here is my potato of an app!

Sticker shock — Access currently sits behind the $200/month ChatGPT Pro plan — fine for an agency/org, spicy for a solopreneur.
That said, once my environment was ready, Codex spat out the Python backend and the HTML front‑end in under five minutes.
Top Uses Cases for Codex
Codex shines in scenarios where speed and code quality matter most:
Full-stack developers — Automate CRUD, generate tests, and migrate legacy monoliths to micro-services over a weekend.
Product & marketing teams — Launch viral calculators, interactive pricing pages, or dynamic demos without pulling devs off the roadmap.
Founders & indie hackers — Validate SaaS ideas, deploy prototypes, and iterate on feedback before you even buy the domain name.
Agencies & consultancies — Rapidly scaffold client projects, reduce billable hours spent on boilerplate, and focus humans on the hard stuff.
Pro tip: Keep a separate chat with o3 open for all of the how-to’s and wtf’s.
Codex Alternatives
Need similar results with a different tool or price point? Consider:
Softr — No-code platform for internal tools and client portals; drag-and-drop UI with Airtable or Google Sheets backends.
Bubble — Low-code builder for complex web apps; visual logic editor and plugin marketplace.
Zapier & Make — Automation suites that connect SaaS tools; great for workflows, less so for full apps.
GitHub Copilot Enterprise — Inline code suggestions for $39/seat; excellent autocomplete, but no autonomous task execution.
Replit AI — Cloud IDE with AI pair-programming; generous free tier for smaller scripts and experiments.
Codex News & Upcoming Release Notes
OpenAI unveiled Codex on May 16, 2025 as a research preview, calling it “a transformative way of working.” The public roadmap points to:
Enterprise security hooks — SAML SSO, audit logs, role-based repo access.
Custom style training — Feed Codex your codebase so future PRs match team conventions.
Expanded language packs — Native Kotlin, SwiftUI, Solidity, and Elixir support.
Flexible pricing tiers — Rumors of a usage-based hobby plan—stay tuned.
IDE extensions — Official VS Code & JetBrains plugins slated for Q3.
If the $3 billion Windsurf acquisition chatter pans out, expect an even deeper push into dev tooling.
Take Action
Codex isn’t just another autocomplete—it’s a mostly autonomous coding teammate evolving at warp speed. Budget the $200, let the AI ship, and use your reclaimed hours to do what humans do best: dream up the next big idea.
Found this breakdown helpful? You’ll love Prompt and Profit—my newsletter on using AI to start businesses, work smarter, and build cooler things.
Top daily tools (and from this post):
👉 ChatGPT (free generative AI tool)
👉 Beehiiv (free trial - newsletter platform)
👉 Codex (paid dev GPT)
Helpful links:
Disclaimer: I’m here to share knowledge, spark inspiration, educate, and entertain. This newsletter is not legal or financial advice. We may earn a commission from sponsored links. Generative AI is experimental and can make mistakes (aka hallucinate). User-generated content is moderated to the best of our ability for quality, accuracy, and kindness.
Reply