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Learn to build with AI, one playbook at a time.
Beginner-friendly guides on LLMs, agents, RAG and Spring AI, plus system design for your next interview. Clear steps, real code, no fluff.
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9Spring AI
9System Design
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Function Calling for Beginners: The Playbook on Letting AI Use Your Tools
Function calling for beginners, explained as a simple story: how an AI asks your code to run real tools, with…
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How to Improve RAG Accuracy: A Beginner’s Playbook on Chunking, Hybrid Search and Reranking
Improve RAG accuracy step by step: fix chunking, add hybrid search and reranking, and test each change. A simple beginner…
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What Is RAG? A Beginner’s Playbook on Answering from Your Own Documents
What is RAG? It lets an AI answer from your own documents. Follow a simple beginner story and five plays…
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Prompt Engineering for Beginners: The Playbook for Writing Prompts That Work
Prompt engineering for beginners, told as a simple story. Learn five plays to write clear prompts and a reusable template…
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LLM Cost Optimization for Beginners: The Playbook for Cheaper, Faster AI Apps
LLM cost optimization for beginners: learn five simple plays to cut your AI bill and speed up replies using tokens,…
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Multi-Agent Systems for Beginners: The Playbook on Building AI Teams
Multi-agent systems for beginners: learn how AI agents work as a team, when you need one, and build a safe…
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Why CodeSpy
Guides written by working engineers
01
Real systems, not toy examples
Every architecture is one you could actually ship, with the trade-offs left in.
02
Clear steps for beginners
Plain words, small steps and a "you are done when" check, so nobody gets lost.
03
Code you can actually run
Spring Boot, Python, Redis, Docker. Snippets are tested, not decorative.
Who's behind this
About us →Two engineers, writing what we wish we'd had
Prashant Pandey
Founder & Editor-in-ChiefLeads editorial strategy, Spring AI and distributed-systems content. Obsessed with explaining hard things simply.
Ashmita Basu
Co-founder & Content CreatorLeads system design coverage, turning whiteboard-scale problems into guides anyone can follow.
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