Robust rate limit handling and scan resumption for AI agent integrations.
Raw Developer Origin & Technical Request
GitHub Issue
May 5, 2026
## What problem are you trying to solve
I ran deepsec on my project using Claude Code on a 20x Max plan. It hit rate limits and I got this output:
```
Turn 1 (5s, 0 tool calls)
Investigation complete (7.4s, 1 turns, 0 tool calls $0.000 0 tokens)
Batch 233/239 complete: 5 analyses, 0 findings (5 in flight, 234/239 done)
Agent SDK error: Claude Code returned an error result: You've hit your limit · resets 3:30am
Agent SDK error: Claude Code returned an error result: You've hit your limit · resets 3:30am
Investigation complete (7.0s, 1 turns, 0 tool calls $0.000 0 tokens)
Batch 235/239 complete: 5 analyses, 0 findings (4 in flight, 235/239 done)
Investigation complete (6.6s, 1 turns, 0 tool calls $0.000 0 tokens)
Batch 236/239 complete: 2 analyses, 0 findings (3 in flight, 236/239 done)
```
## What would you want deepsec to do
Ideally, the items it skipped over I'd be able to re-run later when my rate limit is reset. If there's already a way to do this, I'd love to hear.
## Workaround you're using today
Not actually sure how to handle as if I rerun it I'll hit the same problem again I imagine.
Developer Debate & Comments
No active discussions extracted for this entry yet.
Adjacent Repository Pain Points
Other highly discussed features and pain points extracted from vercel-labs/deepsec.
Frequently Asked Questions
Market intelligence mapped to Robust rate limit handling and scan resumption for AI agent integrations..
What problem does Robust rate limit handling and scan resumption for AI agent integrations. solve?
What is the general sentiment around Robust rate limit handling and scan resumption for AI agent integrations.?
What are the foundational technologies related to Robust rate limit handling and scan resumption for AI agent integrations.?
Engagement Signals
Cross-Market Term Frequency
Quantifies the cross-market adoption of foundational terms like Claude Code and deepsec by tracking occurrence frequency across active SaaS architectures and enterprise developer debates.
SaaS Metrics