Beyond the Black Box: Making AI Coding Agents Observable

As AI coding agents like Claude Code become essential development tools, developers need visibility into their internal operations, token usage, and decision-making to debug effectively and optimize costs. ccglass fills a critical gap by providing a dedicated observability layer that captures what these agents actually send to LLMs—something traditional HTTP proxies struggle to handle due to diverse client implementations. For teams relying on agentic coding systems, this transparency transforms debugging from guesswork into a systematic, data-driven process.