4 min read·May 28, 2026

“Everything was going great… until Claude exploded.”

You start a fresh coding session.

The architecture is clean.

The Next.js app is running locally.

WordPress headless backend is ready.

You feel unstoppable.

Then suddenly:

bash API Error: Usage credits required for 1M context run /usage-credits to turn them on

Followed by:

bash 100% context used

And now Claude behaves like:

it forgot your architecture
it refuses tiny commands
every prompt fails
your repo feels cursed

Welcome to the club.

This happened during a real-world migration of a WordPress-powered platform into a modern Next.js frontend architecture.

And honestly?

The issue wasn’t the code.

It was the workflow.

What Actually Causes This Error?

Most developers assume:

“My prompt is too large.”

Not exactly.

The real issue is usually:
Automatic repository indexing + giant coding sessions

Claude Code tries to:

map your repository
understand project structure
build dependency graphs
maintain conversational context
remember previous architecture discussions

If your repo/session becomes large enough, Claude attempts to use:
Extended 1M-token context mode

Which may require:

additional credits
premium context access

Even if your actual prompt is tiny.

That’s the sneaky part.

The Biggest Mistake Developers Make

The “one eternal mega-session” anti-pattern.

Example:

Session: – architecture – auth – SEO – deployment – Tailwind – WordPress – infra – PM2 – Next.js – APIs – Git – design systems – AI memory – dashboards – jobs pages – community features

At some point:
Claude collapses under accumulated context.

AI assistants are powerful.

But they are not infinite-memory coworkers.

Real Learnings From Our Migration

1. Small Sessions Win

Instead of:
Build my entire startup

Do:
Session 1 → homepage Session 2 → auth Session 3 → jobs module Session 4 → search Session 5 → dashboard

This massively improves:

output quality
consistency
speed
token usage

2. Use AI Memory Files Instead of Giant Prompts

The breakthrough came from creating:
.ai/

├── ARCHITECTURE.md

├── STACK.md

├── UI_RULES.md

├── DECISIONS.md

├── TODO.md

Instead of repeating architecture in every session.

This reduces:

prompt size
context consumption
repetitive explanations

And improves:

consistency
maintainability
AI collaboration

3. .claudeignore Is Mandatory

This became one of the biggest fixes.

Create:
.claudeignore

Add:
gitignore node_modules .next dist build coverage .cache vendor uploads logs *.log

Without this, Claude may try indexing massive generated folders.

Which silently triggers huge context expansion.

4. Never Resume Broken Mega Sessions

This was a painful learning.

Once a session gets attached to:
1M extended context mode resuming it often keeps re-triggering the issue.

Even tiny prompts fail.

The fix:
bash claude –new

Fresh session.

Fresh context.

Fresh sanity.

The Architecture We Were Building

The migration stack looked like this:

Next.js frontend ↓ WordPress REST API ↓ WordPress backend/database

Infrastructure:
xyz.qabash.com → WordPress backend abc.qabash.com → Next.js frontend www.qabash.com → untouched production

Important decisions:

WordPress remains CMS/backend
Next.js handles frontend UX
No duplicate database
Existing WP users continue working
JWT authentication bridge
Incremental migration only

This architecture itself was not the problem.

The AI workflow was.

Best Practices for AI-Assisted Development

Keep Sessions Feature-Focused

Bad:
Build entire SaaS app

Better:
Implement JWT login flow

Use Repository Memory Files

Persist:

architecture decisions
coding rules
design tokens
workflow learnings

Inside repo.

Not inside infinite chat history.

Separate Workspaces

Recommended:
frontend/ wordpress/ .ai/ docs/

This keeps AI context cleaner.

Avoid Giant Prompts

Massive prompts feel productive initially.

But eventually:

quality drops
hallucinations increase
architecture drifts
token costs explode

Final Thoughts

The funny thing?

Getting the Next.js app running locally was actually the easy part.

The real engineering challenge became:
designing sustainable AI workflows

That’s the new skill modern developers are quietly learning.

Not:

“How to use AI”

But:

“How to collaborate with AI without drowning in context.”

And honestly?

That changes everything.

Quick Fix Checklist

If you hit:
bash Usage credits required for 1M context

Do this:

✅ Create .claudeignore
✅ Start a NEW session
✅ Avoid –resume on bloated sessions
✅ Use smaller feature-focused chats
✅ Store architecture in .ai/ docs
✅ Ignore generated folders
✅ Keep prompts concise
✅ Prefer incremental workflows

TL;DR

AI coding assistants are insanely powerful.

But:
Context management is now part of software engineering.

The developers who learn this early will move frighteningly fast.

Claude Code “Usage Credits Required for 1M Context” Error — Causes, Fixes & Best Practices