Reproduce -> fix -> verify
Install a skill or read the field note below to see how we apply this pattern in real Claude Code projects.
The fastest way to ship bugs is to skip one of those three steps. Run this command to install a skill and start from a working baseline instead of rebuilding the setup from scratch.
Files this command writes (1 file)
.claude/skills/bugfix-cycle/SKILL.md← artifact/SKILL.md
Populate your issue tracker context before running this workflow to keep acceptance checks grounded.
Before you run it: LINEAR_WORKSPACE
Reproduce -> fix -> verify
The fastest way to ship bugs is to skip one of those three steps.
What we tried
We enforced a strict flow:
- write reproduction criteria first
- apply the smallest plausible fix
- run explicit verification checks mapped to reproduction criteria
What happened
The loop slowed down initial edits by minutes and saved days of regression churn.
What we learned
- If you cannot reproduce it, you cannot confidently close it.
- Verification should mirror real user behavior, not just unit-level success.
- Include rollback notes when risk is non-trivial.
Next
- Next. Benchmark a LangGraph agent.
Quick answers
What do I get from this cable?
You get a skill plus a dated field note that explains how we use it in real Claude Code workflows.
How much time should I budget?
Typical effort is 24 min. The cable is marked intermediate.
How do I install the artifact?
Run npx frenxt-cables add reproduce-fix-verify. The install block shows the files it writes and any prerequisites before you run it.
How fresh is the guidance?
The cable is explicitly last verified on 2026-04-15, and includes source links for traceability.
Work with FRE|Nxt
We build the production AI systems we write about.
Cables are the field notes. The playbooks come from client engagements — multi-agent systems, RAG pipelines, and LLM cost cuts that ship and hold up in production. If something here maps to a problem on your roadmap, two ways in:
Audit capacity: 5 slots/month · No pitch deck · NDA on request
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