Cachelint Detects Silent Prompt-Caching Bugs in LLM Agent Systems
The non-obvious takeaway is that caching bugs produce no errors at all — teams simply pay more per token while assuming caching works. Platform and backend engineers running agent workloads on OpenAI, Anthropic or other provider APIs can run CACHELINT on their own repos before costs accumulate. As an academic tool study with no pricing or regional availability angle, its closest comparison is other static-analysis approaches like CodeQL-based linting, which CACHELINT extends with provider-aware precondition checks.