Context Engineering 101 Cheat Sheet for AI Engineers. Build agents that actually works.

Nov 2, 2025 · 2:27 AM UTC

14
51
358
Get 100+ free step-by-step tutorials with code covering: 🚀 AI Agents 📀 RAG Systems 🗣️ Voice AI Agents 🌐 MCP AI Agents 🤝 Multi-agent Teams 🎮 Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials. theunwindai.com/
2
1
11
Replying to @Saboo_Shubham_
Super Helpful Thanks for sharing this Shubham
1
1
You're welcome!
2
Replying to @Saboo_Shubham_
Great post. Thank you!
1
5
You’re welcome!
5
Replying to @Saboo_Shubham_
Very very helpful!
1
5
Replying to @Saboo_Shubham_
Need more content like this !!
1
1
Good to know that you find it useful.
2
Replying to @Saboo_Shubham_
quick glance guide
1
Replying to @Saboo_Shubham_
Yep, build the agents that will build the simulated multiverse! No kidding, we shared exactly how - my profile link
1
Replying to @Saboo_Shubham_
Solid, actionable summary. Context engineering is definitely becoming core to building reliable AI agents.
Replying to @Saboo_Shubham_
Context pruning matters more than most realize. In production, we saw agent reliability jump 40% when we implemented dynamic context windowing—keeping only task-relevant history instead of full conversation dumps. The key is identifying what the agent actually needs vs. what feels comprehensive.
Replying to @Saboo_Shubham_
Context window utilization matters. Tested 3 strategies: sliding (70% overlap), chunk-hierarchy, semantic retrieval. Retrieval-augmented won on 85% of multi-step tasks. Do you prune low-relevance context dynamically or batch?
Replying to @Saboo_Shubham_
Amazing cheat sheet
Replying to @Saboo_Shubham_
Excellent cheat sheet! The decision tree for context management is particularly helpful. This should be a must-have reference for anyone building AI agents. 💡
Replying to @Saboo_Shubham_
cheat sheets like this are basically speedruns for looking like you know what you're doing