I have open-sourced Lean Agentic AI as Claude Skills.
I have open-sourced Lean Agentic AI as Claude Skills.
Agentic systems are rapidly becoming the new application architecture.
They are more capable than ever.But capability without discipline leads to waste — unnecessary compute, unchecked cost, and unmeasured emissions.
- Multiple agents calling multiple models
- Tools invoked repeatedly
- Massive context windows passed around every step
Powerful? Yes.
Efficient? Not really.
Every design decision has a price — in dollars, emissions, and complexity.
Lean Agentic AI is the discipline of paying only what the outcome is worth.
The repository includes practical, working tools such as :
🚀 /cost-analyzer — Scans your code, identifies wasteful LLM calls, and shows exactly how much you’re overspending
🚀 /bloat-detector — Scores your system across 7 common agentic bloat patterns
Instead of building agents that simply do more, the focus shifts to systems that do the right things — with the least possible compute, cost, and carbon impact.
If efficiency is treated as an afterthought, the industry risks repeating the same patterns seen in early cloud adoption — runaway cost, uncontrolled complexity, and unmeasured energy consumption.
The next evolution of AI engineering will not be defined only by smarter agents.
It will be defined by leaner agents.
Repository links are shared in the first comment.
#AgenticAI #AI #LeanAI #GreenAI #AIEngineering #LLM #Sustainability #ClaudeCode Green Software Foundation