Systems | Development | Analytics | API | Testing

Everyone is talking about Claude Code, but few people understand the machinery running in the background. Today, we’re opening up the terminal to see how Anthropic’s coding agent manages state, runs tests, and fixes its own bugs. From the Model Context Protocol (MCP) to its unique React-based terminal UI, find out what makes Claude Code the most "senior" feeling AI assistant on the market.

While analyzing network traffic, we found huge amounts of telemetry including chat snippets, being sent to statsig.anthropic.com. The irony? Statsig was recently acquired by OpenAI. In this video, we use proxymock to intercept the traffic and show you exactly what’s being sent from your terminal to Anthropic (and technically, OpenAI’s infrastructure).

Learn more at speedscale.com or read more at https://speedscale.com/blog/peeking-under-the-hood-with-claude-code/

Katalon’s AI approach is different because it builds on tools teams already use, adds AI without forcing process changes, and introduces novel capabilities like generating tests directly from real user behavior. It also applies AI across the entire testing lifecycle, creating a more complete and unified solution than most tools offer. — Coty Rosenblath, Chief Technology Officer at Katalon Follow Katalon for more insights in our series!

Testers weren’t nervous about AI replacing their work, the challenges were actually logistical. Teams struggled with unpredictable pre-production environment changes, global coordination, and unclear deployment windows, which caused confusion during monitoring and adoption. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

Learn more at: speedscale.com.