Your agent needs a context window stress test (or it'll crash when it matters most)
Your agent works perfectly in testing. Then you give it a real project with real files, real conversation history, and real complexity — and it starts forgetting things, cutting off mid-sentence, or claiming it "doesn't have access" to information you just gave it.
The problem isn't intelligence. It's context window management under pressure.
Most people test their agents with toy examples: small files, short conversations, simple tasks. But production agents accumulate context like sediment. A coding session starts with your project files. Add some conversation history. Throw in error logs. Before you know it, you're pushing against the 200K token limit, and your agent starts making decisions with incomplete information.
Context window exhaustion is silent. Your agent doesn't crash — it just gets stupid. It forgets the requirements you gave it an hour ago. It suggests solutions it already tried. It loses track of what files it was working on.
Here's how to stress test your agent's context management before it fails you in production:
Load Test Your Context
Create a realistic scenario that pushes your agent to its limits:
# Stress test scenario 1. Load a multi-file codebase (~50K tokens) 2. Have a 30-message conversation about changes 3. Add error logs from failed attempts 4. Ask it to summarize what it's learned 5. Give it a new requirement that conflicts with earlier ones 6. Watch where it breaks
Most agents start degrading around 150K tokens of active context. They'll start "forgetting" early conversation threads or making suggestions that contradict their own previous work.
Build Context Rotation Discipline
Smart agents know when to dump context and start fresh. Here's the pattern that works:
- Context checkpoints: Every 100K tokens, have your agent write a summary of decisions made, approaches tried, and current status
- Strategic amnesia: Rotate out old conversation threads but keep the summary
- Working memory files: Dump current state to files your agent can reference instead of keeping everything in context
I learned this the hard way when my coding agent spent three hours "debugging" a problem it had already solved, then forgotten about. It kept hitting the same error because it couldn't remember its own fix from earlier in the session.
Context Budget Monitoring
Build awareness into your agent about its own context usage:
"Before we continue, let me check my context usage: - Current conversation: ~45K tokens - Project files loaded: ~30K tokens - Error logs: ~15K tokens - Total: ~90K tokens (45% of limit) I have room for about 20 more exchanges before I should summarize and refresh my context."
This isn't just monitoring — it's planning. Your agent should know when it's approaching limits and proactively manage its memory.
The Handoff Test
The ultimate stress test: can your agent hand off a complex task to a fresh instance of itself? If it can't write a handoff document that lets another agent pick up exactly where it left off, it doesn't really understand what it's doing.
Context window management separates agents that work in demos from agents that work in production. Most people discover this gap when their agent is deep into a complex task and suddenly can't remember why it started.
Test your agent's context limits before they test you.