cnighswonger/claude-code-cache-fix — Fixes prompt cache regression in Claude Code that causes up to 20x cost increase on resumed sessions

Description and use

**Brief Summary (2‑3 sentences)**
The **cnighswonger/claude-code-cache-fix** repository patches a regression in Claude Code’s prompt‑caching logic that can inflate the cost of resumed sessions by up to 20×. By restoring efficient cache reuse, the fix lets developers keep the same AI capabilities while dramatically lowering token‑usage expenses. The project is a lightweight, JavaScript‑based drop‑in that can be integrated into existing Claude Code workflows with minimal code changes.

**Value**

• **Cost efficiency:** Eliminates the runaway token consumption that occurs when the cache is broken, directly translating into lower API bills for any Claude Code‑powered product.
• **Speed & reliability:** Restored caching reduces latency on session resumptions, improving user experience for interactive coding assistants, RAG pipelines, or autonomous agents.
• **Low friction:** The fix is a small, well‑documented patch that can be applied without re‑architecting the surrounding model stack, letting teams reap AI benefits immediately.

**Practical Adoption Path**

1. **Clone or add as a submodule** the repository to your project.
2. **Install the package** (npm install @cnighswonger/claude-code-cache-fix or use the provided CLI).
3. **Replace/patch** the existing Claude Code client initialization with the exported wrapper that injects the corrected cache‑handling logic.
4. **Run your existing test suite** to verify that prompt‑caching behaves as expected; the library emits debug signals (API/SDK/CLI hooks) to help confirm correct operation.
5. **Deploy** to staging, monitor token usage and latency, then roll out to production once the cost savings are validated.

**Production Readiness**

• **Activity & Adoption:** The repo shows recent commits (last updated 2026‑06‑22), 309 stars, 22 forks, and active community discussion, indicating healthy momentum.
• **Maturity:** The fix is self‑contained, written in JavaScript (the primary language of most Claude Code integrations), and includes clear usage examples and CLI tooling.
• **Risk Profile:** No major licensing or security red flags have been identified, though a final review of the open‑source license and maintainers’ responsiveness is advisable.
• **Overall:** With strong community signals, recent maintenance, and a clear, low‑risk integration path, the project is ready for a serious pilot in production environments, especially where cost‑sensitive Claude Code usage is a priority.

Problem

cnighswonger/claude-code-cache-fix helps add AI capability without starting from a blank model stack.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Fixes prompt cache regression in Claude Code that causes up to 20x cost increase on resumed sessions

Source