# Codex: workflows, use cases, and stacks

> OpenAI's agentic coding workspace for parallel implementation, code review, testing, and recurring engineering work.

- Canonical: https://gptnavi.com/tools/codex
- Official website: https://openai.com/codex/
- Category: AI coding
- Pricing model: Freemium
- Has free plan: Yes
- Last materially updated: 2026-08-19
- Best for: Developers, Product teams, Technical founders
- Tags: coding, agent, code-review

## Quick answer

Codex is a freemium ai coding option best suited to Developers, Product teams, Technical founders. In the GPTNavi catalog it connects to 2 workflows and 2 compatible stacks.

## Workflows using Codex

- [LLM evaluation before production](https://gptnavi.com/workflows/llm-evaluation-before-production) — Compare models and prompts against a fixed task set before an AI feature reaches customers, with traces, cost limits, and human release approval.
- [Agentic engineering delivery loop](https://gptnavi.com/workflows/agentic-engineering-delivery-loop) — Use coding agents to move a scoped feature from ticket to tested change, while retaining review, security checks, and release accountability.

## Compatible stacks

- [LLM Evaluation and Observability Stack](https://gptnavi.com/stacks/llm-evaluation-and-observability-stack) — A technical stack for comparing models, tracing AI behavior, measuring quality and cost, and controlling releases with evidence.
- [Agentic Engineering Delivery Stack](https://gptnavi.com/stacks/agentic-engineering-delivery-stack) — A practical engineering stack for scoped agent-assisted delivery, reviews, tests, and accountable production releases.

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