
Claude Code Rate Limits: Why You Hit Them and How to Stay Under
Hitting Claude Code rate limits? The root cause is usually high tokens per request, not total usage. Here's the math and the fixes.
Technical writing on AI coding agents, context engineering, and developer productivity.

Hitting Claude Code rate limits? The root cause is usually high tokens per request, not total usage. Here's the math and the fixes.

Using Cursor, Claude Code, and Codex? Each tool starts from zero every session. Here's how to build shared context across AI coding agents — and why it matters.

Benchmark results from 21 runs on a real FastAPI project: 65% fewer input tokens, 57% lower cost, 14pp better task completion. Full methodology and setup guide.

Stale context causes AI coding bugs that look like hallucinations but aren't. Here's why it happens, why it's getting worse, and how to detect it.

Compare manual Claude Code token-saving tactics with automated context engines like vexp, with real numbers on savings, tradeoffs, and setup.

Prompt engineering vs context engineering: which actually saves more tokens? Real numbers show context engineering delivers 10x the cost reduction — here's why.

Why Claude Code sessions degrade over time, what’s really filling your context window, and how vexp-style context engineering fixes it.

Most tokens in a typical Claude Code session are exploration overhead and history accumulation — not useful work. Here's the data and what to do about it.

Claude Code starts every session with zero memory of previous work. Here's how to build a three-layer memory bank - CLAUDE.md files, dynamic mem dir, automated session memory with vexp.