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FindArticles > News > Technology

24 days of code in 6 hours with Codex—big catch

John Melendez
Last updated: September 11, 2025 5:34 pm
By John Melendez
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Twenty dollars bought me a weekend-long superpower. With Codex embedded in my editor, I shipped about “24 days” of dev work in roughly six hours of active prompting. The caveat? Hidden brakes that slam on right when the flow gets good.

Table of Contents
  • What changed: Codex everywhere for $20
  • Six hours, four projects: why the boost felt real
  • The catch: opaque limits and mid-run cutoffs
  • $20 vs. $200—and why some pay $800
  • This isn’t autopilot: risks and guardrails
  • Who should upgrade—and who can wait

What changed: Codex everywhere for $20

OpenAI’s Codex now plugs directly into VS Code, Cursor, and Windsurf, and it’s included with the $20 ChatGPT Plus plan. That’s a pivotal shift. Until recently, the experience felt constrained to terminals or GitHub-only workflows; now it sits where most of us actually write code. For solo builders and small teams, a high-quality assistant that sees your whole repo at a coffee’s-cost per week is a temptation few can ignore.

AI coding tool Codex compresses 24 days of development into 6 hours

Six hours, four projects: why the boost felt real

In practice, Codex acted like a fast, tireless pair who knew my codebase. I used it to overhaul a dated HTML/CSS welcome screen (my personal nemesis), stabilize a flaky JavaScript signup flow, bolt in a modular sub-tab system, and add backup/restore for app settings via JSON—with a usable UI. I also prototyped a site activity monitor with analytics. None of this was mission-critical, but each task typically takes me a day or more. With Codex, it was hours.

The numbers aren’t outlandish. GitHub’s research has shown Copilot users complete tasks up to 55% faster in controlled studies, and McKinsey has reported 20–45% productivity gains for software work using generative tools. The lift becomes dramatic when the AI can see cross-file relationships and refactor in context—exactly what Codex did inside my editor.

The catch: opaque limits and mid-run cutoffs

Then the wheels wobbled. After a burst of successful sessions, Codex started rate-limiting without warning: first a short hold, then a longer one, and finally a multi-day lockout—right in the middle of multi-file changes. No meter, no countdown, no “you’re nearing your cap” signal. Just a stop sign.

That’s risky. Mid-run cutoffs can leave code in limbo if the tool fails before writing its summary or diff. Yes, version control can save you, but rolling back burns both time and usage. And while the $20 plan is affordable, the uncertainty around how much coding you truly get makes scheduling difficult. If you’re a pro on a deadline, a surprise cooldown is a non-starter.

$20 vs. $200—and why some pay $800

There’s a reason many full-time engineers pay for premium tiers. Higher-priced plans generally raise token and rate ceilings, cut waits, and offer longer context windows. In a recent YouTube discussion, two developers said they collectively spend around $800 per month across tools like Claude Code, Cursor’s higher tier, and OpenAI’s premium plan—arguing that the extra throughput repays itself in delivered features.

24 days of code in 6 hours with Codex AI, clock and net catching code

Viewed against salaries, that math checks out. Even a modest throughput boost can cover a few hundred dollars in tool spend. For weekend coders, students, or indie maintainers, though, $200–$800 per month is steep, and the $20 tier’s stop‑and‑go behavior can disrupt the small windows when you actually can build.

This isn’t autopilot: risks and guardrails

Codex didn’t replace judgment; it amplified it. I had to scope changes precisely, test iteratively, and steer it away from dead ends. It made confident mistakes. Expect to throw away 30–50% of suggestions, especially on complex logic—consistent with what many teams report in early rollouts.

Treat it like a power tool. Use branches, small diffs, and reproducible prompts. Keep your test suite close. For anything security-sensitive, follow OWASP guidance, run static analysis, and mandate peer review. Several organizations—Microsoft, Google, and the National Institute of Standards and Technology—advise layered assurance when incorporating AI-generated code. The velocity is intoxicating; the blast radius of a subtle bug is not.

Who should upgrade—and who can wait

If you’re shipping production code on a schedule, budget for a higher tier that eliminates surprise cooldowns and provides longer context. The predictable throughput is the real purchase. If you’re a hobbyist or an open-source maintainer, the $20 plan can be phenomenal for focused sprints—just plan around the throttle and never rely on it to finish a critical migration.

The headline truth stands: in a handful of hours, Codex helped me deliver what would have taken weeks. But until the $20 plan surfaces transparent quotas and avoids mid-run cutoffs, it’s best viewed as an on-demand booster, not a daily driver. Upgrade for continuity; stay frugal for bursts. Either way, keep your hands on the wheel.

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