User reports 30% Fable consumption waste from cache rewrites in long Claude Code sessions
A Claude Code user audited their transcripts and found that long sessions with breaks caused frequent cache expiration, leading to 30% wasted Fable consumption. Prompt caching re-reads history at 10% of normal input price but has a 1-hour window; when it expires, each turn replays full conversation history at full cost.
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User audits Claude Code transcripts, finds long sessions with breaks cause high costs due to cache expiry
A user auditing their Claude Code transcripts discovered that long sessions with breaks are expensive because prompt caching expires after one hour, forcing full history rewrites at premium prices. The user shares details on cache economics to help others optimize usage.
Users report Claude Code consuming excessive usage due to large context bug
Multiple users report that Claude Code consumes 20-40% of their usage allowance per session due to a bug that sends 300k+ message contexts even on fresh sessions. One user lost significant paid usage before realizing the issue. Another user describes a layered configuration setup with CLAUDE.md and AGENTS.md files, and a cleanup that removed ~700MB of empty content but still faced model selection inefficiencies.
Developer criticizes prompt caching fees for one-shot inference workloads
A developer argues that prompt caching fees are unjustified for task-oriented applications like document processing and data extraction, where prompts are never reused. The post highlights frustration with paying a premium for cache writes that provide no benefit for unique, one-shot inference tasks.
Developer seeks prompt caching optimization for GitHub Copilot Agent Mode with GPT-5.6
A developer is trying to optimize prompts for GitHub Copilot Agent Mode, noting that GPT-5.6 models make prompt caching more valuable due to specific Cache Read and Write costs. They reference OpenAI's API documentation for prompt caching (1024-token prefix, 128-token increments, identical prefix matching, short-lived in-memory caches, optional 24-hour extended caches) but cannot find whether GitHub Copilot exposes the same behavior or has its own orchestration layer.
Developer reports Claude performance degrades beyond 500K tokens, uses handover files to reset context
A developer working on a large C# plugin reports that Claude becomes increasingly unreliable after 500K tokens of context, with performance degrading significantly by 800-900K tokens. To work around this, they manually create a handover.md file summarizing the project state and start a new session, asking Claude to re-read key files. The post questions whether this is common practice and whether tools exist to automate the process.