| As many of you have likely seen, the Claude Code community newswire has been ablaze with Claude Code being quite degraded lately, starting in February, and continuing to this day. Curious to understand if there was any "signal" on the wire when using Claude Code, I fired up my old friend WireShark and a --tls-keylog environment flag. Call it a man-in-the-middle attack on my own traffic. The captured TLS network traffic reveals the system prompts, system variables, and various other bits of telemetry The interesting part? A signature routing block that binds the session to a cloud instance with an effort level parameter, named Numbat. Mine, specifically, was So, it would appear that the backend running my instance is tied to an efforts-15-20-40 level. Is this conclusive? Not definitively, since only Antrhopic could tell us what that parameter actually means in production. Side note, a Numbat is an endangered critter that eats Ants in Austrialia :) Follow for more insights on Claude Code [link] [comments] |
Claude Code Degradation: An interesting and novel find
Reddit r/artificial / 4/15/2026
💬 OpinionDeveloper Stack & InfrastructureSignals & Early TrendsIdeas & Deep Analysis
Key Points
- Claude Code users have reported that Claude Code performance has degraded since February and the issue appears to be ongoing, based on community reports.
- A Reddit user attempted to investigate potential “signal” behind the degradation by capturing their own Claude Code traffic with Wireshark using a TLS key-log approach (a self-MITM-style analysis).
- The captured TLS traffic reportedly exposes routing/session details that bind the session to a cloud instance via a block labeled “Numbat,” including an “effort level” parameter (e.g., efforts-15-20-40).
- The author suggests the backend may be configured to run with an “efforts” setting, which could plausibly affect output quality, but emphasizes that it cannot be conclusively verified without confirmation from Anthropic.
- The post additionally speculates about the meaning and potential purpose of “Numbat” and the “effort” parameter, framing it as an interesting clue rather than proof.
Related Articles

Black Hat Asia
AI Business
Big Tech firms are accelerating AI investments and integration, while regulators and companies focus on safety and responsible adoption.
Dev.to
Don't forget, there is more than forgetting: new metrics for Continual Learning
Dev.to
Microsoft MAI-Image-2-Efficient Review 2026: The AI Image Model Built for Production Scale
Dev.to
Bit of a strange question?
Reddit r/artificial