Targeted how-tos: prompt caching, bugfix loops, QA, tracing, setup drift.
Two flags promise to stop Claude Code from pausing at every tool call. One of them reads your settings, honours your allowlist, and refuses to run anything g…
A skill that walks Claude Code through publishing your Claude stack to the Cables community in one conversation. No manual repo setup, no hand-written `stack…
Pick the stack that matches what you're building. Each one is a single `npx` command. Plugins installed, skills synced, marketplaces configured, no bash scri…
For building, debugging, and evaluating multi-step LLM agents. The skills that catch the problems traces-first: cache misses, regression in eval scores, trac…
The plugins and skills you want on day one of a typed Next.js app. From scaffold to prod, with CI/CD, observability, and release review baked in.
For designing, shipping, and validating product UI. Distinctive components without the AI-generic aesthetic, plus browser-QA to catch regressions before user…
Publishing cables is not just writing markdown. The failures usually happen in validation, index generation, or submodule pointer updates.
Manual QA catches issues, but it does not scale when UI changes land every day.
We had tests. We also had regressions. The problem was coverage shape, not raw test count.
You cannot optimize what you do not measure. For agent systems, that means evaluating both quality and execution cost. And doing it per task class, not in ag…
When an agent fails, raw logs usually tell us *what* happened, not *why* it happened in that step sequence.
Prompt caching is one of those optimizations we all think we enabled "well enough" until costs spike and response times drift.
The fastest way to ship bugs is to skip one of those three steps.