Built with Codex CLI?
Let's make sure it's production-ready.
OpenAI's terminal-based coding agent that generates full projects from natural language prompts directly in your terminal. Produces Python, TypeScript, React, and Node.js code with shell script automation. We help non-technical founders identify and fix the issues AI tools leave behind.
Common issues we find in Codex CLI code
These are real problems we see in Codex CLI projects during our audits — not hypotheticals.
API keys and secrets written directly into generated source files
Codex CLI generates code with placeholder credentials that developers often replace with real values inline, leaving secrets committed to version control. There is no .env scaffolding or secret management setup by default.
No authentication or authorization on generated API endpoints
When Codex generates Express or FastAPI backends, routes are created without middleware for authentication, meaning every endpoint is publicly accessible immediately after deployment.
Single-file output breaks apart for any real project structure
Codex frequently outputs all logic into one or two files rather than organizing code into modules, services, and utilities — making the result hard to maintain and extend as the codebase grows.
Generated code lacks awareness of existing project context
Because Codex operates from a prompt without full codebase indexing, it generates code that duplicates existing utilities, ignores established conventions, and introduces conflicting patterns alongside your real code.
No dependency management or package.json / requirements.txt generation
Codex outputs code that imports packages without generating the corresponding dependency manifest, so the generated code fails immediately on a fresh install until dependencies are manually identified and added.
Unhandled promise rejections and missing try/catch in async code
Generated async JavaScript and Python code handles the happy path but omits error handling for network failures, timeouts, and API errors, causing unhandled rejections that crash Node.js processes.
No test files generated alongside application code
Codex CLI produces application logic without corresponding unit or integration tests, meaning the output has zero test coverage by default and no testing framework configured.
Shell scripts generated without input sanitization or error exits
Generated shell scripts rarely include `set -euo pipefail` or input validation, so scripts silently continue after failures and are vulnerable to injection if they incorporate user-provided values.
How we can help with your Codex CLI project
From security reviews to deployment, we cover everything you need to go from prototype to production.
Security Review
Deep security analysis and hardening
Fix Bugs
Resolve issues and unexpected behavior
Deploy & Ship
Get your Codex CLI app to production
Refactor Code
Clean up AI-generated or legacy code
Performance
Make your Codex CLI app faster and more efficient
Add Features
New functionality, integrations, capabilities
Testing
Add tests and improve coverage
Infrastructure
Set up and manage your Codex CLI backend
Start with a self-serve audit
Get a professional review of your Codex CLI project at a fixed price. Results reviewed by experienced engineers.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Is Codex CLI safe to use for production code at a startup?
Codex CLI is best treated as a rapid prototyping tool. The generated code requires security review before production use — in particular, check for hardcoded credentials, missing authentication on API routes, and lack of input validation. Plan for a review pass before shipping any Codex-generated backend code.
Why does Codex-generated code fail to run after I copy it into my project?
The most common reason is missing dependencies. Codex writes import statements without generating a package.json or requirements.txt, so you need to identify and install each package manually. Also check for path assumptions that only work in the directory where Codex was run.
Can Codex CLI generate tests for the code it writes?
You can prompt Codex to generate tests, but it does not do so automatically. Explicitly ask it to write unit tests for each function it generates. The quality varies — Codex tends to write tests that pass trivially rather than testing edge cases, so review the test logic carefully.
How does Codex CLI compare to Cursor or GitHub Copilot for a small team?
Codex CLI excels at greenfield code generation from the terminal without opening an IDE. Cursor and Copilot have better awareness of your existing codebase context. If your team works primarily in editors, Cursor or Copilot will integrate more naturally. Codex CLI is a strong fit for scripting, automation tasks, and generating standalone modules.
What is the best workflow for reviewing Codex CLI output before merging?
Generate Codex output into a separate branch, then do a focused code review covering: secrets and credentials, authentication gaps, missing error handling, and dependency correctness. Treat Codex output like a junior developer's first draft — the structure is often good, but the details need verification.
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