Rick Boers vs OpenAI Codex
Explore what we can build. Examples describe possible workflows; integrations, hosting, and scope are agreed for your project.
OpenAI Codex is OpenAI's AI software-engineering agent. Since July 9, 2026 it lives inside the ChatGPT desktop app as a dedicated Codex mode alongside Chat and Work, with an open-source CLI, an IDE extension, and Codex cloud for running tasks remotely. Give it a task and it reads your repository, edits code across files, runs tests in a sandboxed environment, and opens a pull request — you can run many tasks in parallel in isolated cloud environments, powered by the GPT-5.6 model family (Sol, Terra, Luna).
Rick Boers is an independent AI product builder. I design and build custom agents, document workflows, internal tools, and complete web and mobile applications, with one person owning the work from brief to delivery.
At a glance
| Comparison dimension | Rick Boers | OpenAI Codex |
|---|---|---|
| Always-on computer | Hosting and runtime architecture are chosen for your project; dedicated VMs are one option. | No persistent machine — cloud tasks run in isolated per-task containers that resume from cached environment setups (long tasks can hold a dedicated environment until done); a DigitalOcean plugin can provision your own hourly-billed Droplet as a remote workspace. |
| Tool integrations | I build integrations around the tools your workflow needs. Access, permissions, API availability, and any service subscriptions are checked and scoped before implementation. | Developer-centric core: GitHub, Slack, and Linear for task dispatch and review, extended via a plugin directory shared with ChatGPT that includes 20+ first-party plugins (Gmail, Notion, Google Drive, Slack) plus skills and MCP servers; no purpose-built business-ops catalog like Stripe or CRMs. |
| Messaging channels | Messaging or web interfaces are implemented where supported and included in the agreed scope. | ChatGPT web, desktop, and mobile apps with push notifications when tasks finish; @Codex mentions in Slack with results posted back in-thread; tasks from GitHub PRs/issues and Linear. No iMessage/SMS, WhatsApp, or Telegram. |
| Persistent memory | Storage and memory can be designed for the workflow, with retention and access controls agreed first. | Local Memories feature, off by default, stored under ~/.codex/memories on your machine, plus per-repo AGENTS.md instructions and configured cloud environments — no memory living on an always-on agent computer. |
| Background automations | Scheduled and background jobs can be included with monitoring, limits, and human review where needed. | Scheduled tasks created from ChatGPT or Codex chats run on OpenAI's cloud and can use plugins and skills; managed from ChatGPT web/desktop (not the CLI). |
| Pricing | The first 20-minute fit call is free. Paid work is scoped individually. We agree the deliverables, price, and payment milestones before work begins; hosting and model costs depend on the system we build. | Check the provider’s current pricing and plan limits. |
Where OpenAI Codex shines
- Best-in-class depth on real software engineering: reads whole repositories, edits across many files, runs tests in a sandbox, and opens pull requests, with the GPT-5.6 family offering million-token-plus context windows.
- Parallel cloud execution: fire off multiple tasks at once, each in its own isolated environment, and give longer tasks dedicated environments that keep running while you do something else.
- Deep developer-workflow integration: PR review in GitHub, task dispatch from Slack (@Codex replies with results in-thread) and Linear, plus an integrated terminal, browser, and computer use.
- The CLI is genuinely open source (Apache-2.0, ~97k GitHub stars and frequent releases as of July 2026), and an extensibility ecosystem of skills, plugins, and MCP servers has formed around it.
- Bundled with ChatGPT plans people already pay for — available on every plan including Free, with a reported 8 million weekly active users as of mid-July 2026.
Where it falls short
- No persistent personal computer: cloud tasks run in isolated per-task containers that resume from a cached environment setup, not an always-on machine that keeps your logged-in browser sessions, files, and running state between jobs (a DigitalOcean plugin can provision your own Droplet as a remote workspace, but you pay for it separately by the hour).
- Coding-first by design: while the plugin directory it shares with ChatGPT now includes first-party Gmail, Notion, and Google Drive plugins, Codex is built and benchmarked for software engineering — broader knowledge work is routed to ChatGPT's separate Work mode, and there is no purpose-built catalog of business integrations like Stripe or CRMs for autonomous ops.
- No consumer messaging channels: you interact through the ChatGPT apps, Slack, GitHub, or Linear, with task-completion alerts arriving as app push notifications or Slack thread replies — it cannot text you over iMessage/SMS, WhatsApp, or Telegram.
- OpenAI models only in the product experience: the ChatGPT-integrated app, cloud tasks, and Slack/Linear surfaces run the GPT-5.6 family exclusively; the open-source CLI can be pointed at other OpenAI-compatible endpoints via config, but there is no first-class option to run Claude, Gemini, or Grok on a task.
- Memory is local to your machine and off by default (stored under ~/.codex/memories), so agent state does not accumulate on a persistent machine you can inspect.
Choose OpenAI Codex if…
- You are a software engineer or team shipping code: repo-scale refactors, parallel bug-fix tasks, test runs, and PR review are exactly what Codex is built and benchmarked for.
- You already pay for ChatGPT — Codex is included on every plan, so serious coding help starts at $0-20/month with no new vendor.
- You want an open-source, scriptable CLI and IDE-native workflow you can wire into CI, or enterprise controls like SAML SSO, audit logs, and Amazon Bedrock model hosting.
- Your team lives in GitHub, Slack, and Linear and wants coding tasks dispatched and reviewed inside those tools.
Choose Rick Boers if…
- You need a custom workflow or product built around your team.
- You want one builder to own design, implementation, and delivery.
- Your project needs integrations or behavior beyond a packaged tool.
- You need a custom workflow or product built around your team.
Common questions
Is OpenAI Codex better than Rick Boers?
This comparison is between using a packaged tool and commissioning a custom system. Provider features change; check current documentation. For a custom build, we agree the specific workflow, infrastructure, integrations, and operating responsibilities.
Does OpenAI Codex run continuously in the background?
This comparison is between using a packaged tool and commissioning a custom system. Provider features change; check current documentation. For a custom build, we agree the specific workflow, infrastructure, integrations, and operating responsibilities.
How much does OpenAI Codex cost in 2026?
The first 20-minute fit call is free. Paid work is scoped individually. We agree the deliverables, price, and payment milestones before work begins; hosting and model costs depend on the system we build.