Loop Engineering is the next step after prompt engineering.
Most people still use Claude Code, Codex, Cursor, or Grok like a chat box:
Prompt.
Wait.
Copy.
Fix.
Prompt again.
This repo shows the next step:
You stop prompting the agent.
You design the loop that prompts the agent for you.
Inside:
→ Daily triage loops
→ PR babysitter loops
→ CI sweeper loops
→ Dependency sweeper loops
→ Changelog drafter loops
→ Post-merge cleanup loops
→ Issue triage loops
It also gives you CLIs to:
• Scaffold a loop
• Estimate token cost
• Audit if your repo is ready
• Add memory/state
• Add human handoff
• Add verification gates
• Run agents safely through GitHub Actions
The wild part is the shift in thinking.
Prompt engineering was about writing better instructions.
Loop engineering is about building a system where agents keep working, checking, fixing, and escalating without you babysitting every step.
This is what AI coding looks like when it stops being a chat session and starts becoming an operating system for software teams.
Repo: https://t.co/2USzC6KHUt
🔥🔥 Pour espérer avoir la moindre chance dans un match contre Magnus #Carlsen, il faut être capable de jouer avec un taux de précision supérieur à 95% pendant 14 parties.
Ceci explique sans doute la tournure des événements...
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#CarlsenNepo
Un autre signe que l industrie automobile est a la veille d'une disruption numerique massive @SCouasnonBFM @Digital_NewDeal@dr_l_alexandre https://t.co/sFXLxktGsV