How to Stop Running Out of Codex Tokens in 2 Days

Mar 26, 2026

Problem

I have a Codex Pro subscription. Every week, I’d hit my token limit by Tuesday. That left me without AI assistance for the rest of the week.

I thought I needed a bigger plan. But when I looked at my usage patterns, I found I was wasting tokens.

What I Found

A Reddit comment opened my eyes:

“It boggles my mind how people can use up the Codex Plus plan in 1 day… having 50 repos open, multiple worktrees, dozens of agents running continuously” — Reddit user (Score: 5)

That wasn’t me—I wasn’t running 50 repos. But I was making similar mistakes.

Then another user confirmed my situation:

“Token usage has been insanely bad for me the last two weeks. I’m hitting the weekly limit on pro in two days of fairly gentle usage” — Reddit user (Score: 3)

Even “gentle” usage was exhausting my allowance. I needed to change how I worked.

Where My Tokens Were Going

I analyzed a typical “simple” task:

Task: "Fix the bug in auth.py"
├─ Read auth.py (500 lines × ~10 tokens/line) = 5,000 tokens
├─ Read related imports (3 files × 300 lines) = 9,000 tokens
├─ Analyze codebase structure = 2,000 tokens
├─ Generate fix = 1,000 tokens
├─ Write edited file = 500 tokens
└─ Context overhead = 1,000 tokens
Total: ~18,500 tokens for ONE simple fix

One “simple” fix consumed nearly 20,000 tokens. No wonder I ran out.

The Fixes I Applied

Fix 1: Close Unnecessary Repos

I used to keep 10+ repos open in my workspace. Each one added to my context window.

Now I follow a simple rule: One project at a time.

BEFORE:
├── Project A (open)
├── Project B (open)
├── Project C (open)
├── ... (7 more repos)
└── Context: Massive

AFTER:
├── Current Project (open)
└── All others (closed)
    Context: Minimal

Fix 2: Use Targeted Prompts

My old prompts were vague:

# "Refactor the authentication module to be more secure"
# This forces Codex to scan everything

Now I’m specific:

"""
Refactor /app/auth/login.py:
- Add rate limiting to authenticate()
- Use existing Redis client for storage
- Limit: 5 attempts per 15 minutes per IP
Only modify authenticate(), preserve other code.
"""

The targeted prompt uses 60% fewer tokens.

Fix 3: Run One Agent at a Time

I used to run multiple agents in parallel—code review, tests, documentation. Each consumed tokens independently.

Now I run sequentially:

step_1:
  task: Implement feature
  validate: manual_review

step_2:
  task: Write tests
  context: output_from_step_1
  validate: run_tests

step_3:
  task: Update docs
  context: output_from_step_1
  validate: check_completeness

Sequential execution gives me time to validate each step before moving on.

Fix 4: Batch Similar Tasks

Instead of 10 separate refactor requests:

Request 1: Refactor function A → 5,000 tokens
Request 2: Refactor function B → 5,000 tokens
Request 3: Refactor function C → 5,000 tokens
...
Total: 50,000 tokens

I batch them:

Batch request: Refactor functions A-J together
Total: ~30,000 tokens (40% savings)

Fix 5: Monitor Usage Daily

I added a simple check to my morning routine:

def check_token_status():
    """Quick morning check of token status"""
    used = get_weekly_tokens_used()
    limit = 500000  # Adjust to your tier
    days_remaining = 7 - current_day_of_week()

    if used > limit * 0.5:
        print(f"WARNING: 50% of tokens used by day {current_day_of_week()}")

Results After One Month

Metric	Before	After
Days until limit	2	6-7
Tokens per task	~20,000	~8,000
Parallel agents	3-4	1
Weekly overrun	Always	Never

Common Mistakes I Made

Mistake 1: More agents = faster results I thought running multiple agents in parallel would save time. It just burned tokens faster.

Mistake 2: Keeping everything open I left repos and files open “just in case.” Each one added to my context.

Mistake 3: Vague prompts My “flexible” prompts forced Codex to process irrelevant context.

Mistake 4: Skipping validation I ran agents continuously without checking output. Wasted tokens on wrong directions.

Mistake 5: Using Codex for everything Simple edits don’t need AI. I learned to code the easy stuff manually.

Summary

In this post, I showed how I extended my weekly token allowance from 2 days to the full week. The key point is that token waste comes from context bloat—too many open repos, vague prompts, and parallel agents. By closing unnecessary context, targeting prompts, and running agents sequentially, I cut my token consumption by more than half.

Start with one change: close everything except what you’re working on right now.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

👨‍💻 Reddit Discussion: Codex Token Usage
👨‍💻 OpenAI Token Documentation

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!