Proposal: Create a sister “Awesome” list for practical Agentic / LLM system cookbooks & tutorials
## Proposed Issue Content
**Title**
> Proposal: Create a sister “Awesome” list for practical Agentic / LLM system cookbooks & tutorials
### Motivation
While maintaining the **awesome-agentic-systems** list, we increasingly see contributions that are **practical implementation resources** (cookbooks, debugging guides, tutorials, engineering playbooks).
Examples include:
* RAG debugging maps
* agent orchestration tutorials
* evaluation playbooks
* production LLM pipeline guides
These resources are **extremely useful for practitioners**, but they are somewhat different from the current list’s focus on:
* frameworks
* research papers
* benchmarks
* tooling
To keep the main list focused while still surfacing these practical resources, it might make sense to create a **sister curated list focused specifically on hands-on learning materials**.
A similar structure exists in other ecosystems (e.g., the MLOps ecosystem has separate lists for tooling vs learning resources).
### What would be included
The proposed list would curate **practical, implementation-oriented resources**, such as:
* engineering cookbooks
* step-by-step tutorials
* debugging guides
* design patterns for agent systems
* RAG pipeline engineering playbooks
* evaluation workflows
* reproducible example repositories
* teaching materials for building agent systems
Example resource types:
* RAG failure debugging maps
* LangGraph agent tutorials
* production LLM deployment guides
* observability & evaluation workflows
* prompt / tool orchestration patterns
### Possible Scope
There are a few possible scope definitions:
**Option A — Agentic systems only**
```
awesome-agentic-cookbook
```
Focus:
* autonomous agents
* tool-using LLM systems
* agent orchestration
* planning frameworks
**Option B — Production LLM systems**
```
awesome-llm-production
awesome-llm-engineering
```
Focus:
* RAG systems
* LLM pipelines
* evaluation / monitoring
* inference infrastructure
**Option C — Broader applied AI engineering**
```
awesome-ai-engineering-cookbook
```
Focus:
* agent systems
* RAG
* LLMOps
* production AI systems
### Example Resources That Would Fit
Examples of resources that might belong in such a list:
* RAG debugging maps and troubleshooting frameworks
* LangGraph / AutoGen practical guides
* production RAG architecture tutorials
* LLM evaluation playbooks
* prompt / tool orchestration patterns
* real-world agent workflows
* end-to-end open-source reference implementations
### Possible Names
Some naming candidates:
* `awesome-agentic-cookbook`
* `awesome-agent-engineering`
* `awesome-llm-cookbook`
* `awesome-llm-engineering`
* `awesome-ai-production-playbook`
### Open Questions
Would maintainers prefer this list to focus on:
1. **Agentic systems specifically**, or
2. **Production LLM systems more broadly**, or
3. **AI engineering in general (agents + RAG + LLMOps)?**
Once the scope is clear, we could:
* spin up the repository
* seed it with initial entries
* link it as a **sister list** from `awesome-agentic-systems`
## Why this works well
This format:
* clearly **responds to axsaucedo’s suggestion**
* frames the issue as **community design discussion**
* avoids prematurely creating a repo
* encourages **maintainer participation**
It’s also consistent with how many **Awesome-list ecosystems evolve**.
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