OpenAI Codex CLI

Frontier reasoning in the terminal

5.0•31 reviews•

438 followers

Frontier reasoning in the terminal

5.0•31 reviews•

438 followers

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For developers who live in the terminal and want ChatGPT‑level reasoning plus the power to actually run code, manipulate files, and iterate – all under version control. In short, it’s chat‑driven development that understands and executes your repo.

OpenAI Codex CLI Reviews

Name: OpenAI Codex CLI
Rating: 5.0 (31 reviews)

The community submitted 31 reviews to tell us what they like about OpenAI Codex CLI, what OpenAI Codex CLI can do better, and more.

5.0

Based on 31 reviews

Review OpenAI Codex CLI?

Reviewers, almost all founders building other developer tools, describe OpenAI Codex CLI as a strong terminal-native coding agent that works directly in real repos, speeds implementation and refactors, and helps with debugging, testing, and multi-file changes while keeping human review in the loop. Makers of Zencoder, Vokal, and Fabraix specifically point to orchestration, faster individual work, consistent refactors, compilable diffs, and long-running task handling. Criticism is scarce, though one founder says it can be precise but not especially fast.

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used OpenAI Codex CLI to build Mnemcore instead of Cursor

•3 reviews

I chose Codex CLI because I wanted an AI development tool that could work directly inside the real codebase rather than only generate isolated snippets in a chat window. Mnemcore spans a Vue 3 frontend, FastAPI backend, Supabase/PostgreSQL database, pgvector retrieval, video infrastructure and OpenAI integrations. Codex CLI helped me reason across that entire system, inspect existing code, make coordinated changes and validate the results without constantly copying context between tools. I used it to build Mnemcore end to end—from database migrations and API endpoints to frontend workflows, retrieval logic and evaluation cases. It was especially useful when debugging failures that crossed multiple layers of the application or when simplifying architecture that had become overly complex. What stood out was not just code generation, but the ability to collaborate iteratively inside the repository. I could explain the product goal, review the implementation, test it, identify weaknesses and refine the approach in the same workflow. Codex CLI meaningfully increased what I could build as a solo founder and made it possible to move quickly without losing visibility into how the system actually worked.

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3 views2mo ago

used OpenAI Codex CLI to build Almanac

•8 reviews

Codex gives Almanac the agentic reasoning to understand company knowledge and keep it useful.

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1 view13d ago

used OpenAI Codex CLI to build Shepherd Terminal

•1 review

We didn’t choose Codex CLI exclusively over other agents. We support it because it combines strong coding performance with a transparent, terminal-native workflow and a well-designed permission model. It also complements Claude Code well, giving developers the freedom to use the right agent for each task.

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22d ago