Before (prompting):
Every PR: manually ask the agent to fix CI, re-prompt after each failure.
After (looping):
/loop 5m check my PR, address review comments, and fix failing CI
Add a skill that says: never mark CI fixed without re-running the full pipeline. Add /goal all checks green, stop after 10 tries
for stubborn failures.
Prompting isn’t worthless. It’s incomplete.
The best teams still write clear instructions—but they’ve stopped treating a single response as the finish line. They design loops: agents that gather context, act, verify, and repeat until a condition they didn’t have to guess at is satisfied.
Prompting is dead as the default paradigm for serious agentic work. Not because words stopped mattering, but because outcomes beat utterances.
The loop is here. Your job moved upstack: define what done means, how to verify it, when to run, and when to stop.
Start with one loop this week. Hand off one thing you used to re-prompt manually. Watch what breaks. Fix the system, not just the output.
/goal
, /loop
, /schedule
, skills, workflows); the loop mindset applies to any agentic coding tool.Tags: AI, Agentic AI, Prompt Engineering, Claude Code, Software Development, Developer Productivity, LLM, Automation
Estimated read time: 8 min