https://github.com/louisfb01/ai-engineering-cheatsheets
Give you decision-ready references for the most common AI engineering problems
https://github.com/louisfb01/ai-engineering-cheatsheets
agent agentic-ai agentic-ai-development agents ai ai-agents ai-engineer ai-engineering llm llm-agent
Last synced: 19 days ago
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Give you decision-ready references for the most common AI engineering problems
- Host: GitHub
- URL: https://github.com/louisfb01/ai-engineering-cheatsheets
- Owner: louisfb01
- Created: 2026-03-12T18:05:22.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2026-03-12T18:36:35.000Z (3 months ago)
- Last Synced: 2026-03-13T00:38:29.832Z (3 months ago)
- Topics: agent, agentic-ai, agentic-ai-development, agents, ai, ai-agents, ai-engineer, ai-engineering, llm, llm-agent
- Homepage: https://academy.towardsai.net/?ref=1f9b29
- Size: 21.5 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# AI Engineering Cheatsheets
By [Louis-Francois Bouchard](https://www.linkedin.com/in/whats-ai/) ([X](https://twitter.com/Whats_AI), [YouTube](https://youtube.com/whats_ai), [other AI resources](https://links.louisbouchard.ai/))
Goal: give you decision-ready references for the most common AI engineering problems. Open a cheatsheet, find your situation in the table, and follow the recommendation.
## Cheatsheets
| Cheatsheet | What you get |
| :--- | :--- |
| [AI Engineering Playbook](AI_Engineering_Playbook.md) | Pick the right AI technique, model, prompting strategy, RAG setup, memory pattern, eval method, and production config. Decision tables for each. |
| [Agent Architecture Guide](Agent_Architecture_Guide.md) | Decide between workflow, single agent, and multi-agent. Includes the questions to ask, the signals to look for, and the engineering rules to follow. |
| [Anti-Slop AI Writing Guide](Anti_Slop_AI_Writing_Guide.md) | Get human-sounding output from any LLM. A 7-section prompt template, a banned-word list, style rules, and a two-model write-then-review workflow. |
## How to use
1. Open the cheatsheet relevant to your problem.
2. Find your situation in the decision tables.
3. Follow the recommended approach.
For the Anti-Slop guide, copy the complete template directly into your LLM of choice, then fill in the variables and edit to best fit your needs.
## Learn more
These cheatsheets come from the [Towards AI](https://academy.towardsai.net/?ref=1f9b29) courses. They cover the same frameworks in more depth, with full lessons, code, and hands-on projects.
- [Full Stack AI Engineering](https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=1f9b29) - Prompting to production-grade RAG system. Position yourself for the roles, projects, and opportunities that AI is creating right now.
- [AI for Business Professionals](https://academy.towardsai.net/courses/ai-business-professionals?ref=1f9b29) - Learn to get real benefits from LLMs for valuable tasks from experts that build AI for a living.
- [Agentic AI Engineering](https://academy.towardsai.net/courses/agent-engineering?ref=1f9b29) - Your Path to Agentic AI for Production.
- [Free Agents Webinar](https://www.youtube.com/watch?v=iOpLKJYOvXs) - Workflows vs. agents deep-dive (YouTube).