From practice.
Onto the page.
Books on AI engineering and distributed systems. The ideas, patterns, and lessons behind the work.
For the curious.
For the builders.
For the next hard problem.
From Copilot to Colleague
With Daniel Mohanrao. A source-anchored book on AI engineering: how AI systems move from assistants that suggest, to copilots that collaborate in real time, to delegates trusted with full, reviewable tasks. Every claim links to the exact conference-talk video and timestamp it came from.
Inside the book +
- 199 source anchors linking claims to precise conference-talk timestamps
- Drawn from 881 AI Engineer conference talks
- Three-tier claim support levels (strong, moderate, tentative)
- Public, machine-readable claims ledger and chapter drafts
Generative AI with Local LLM
Explore the world of Generative AI and Large Language Models (LLMs) with this practical guide. Learn how to implement and deploy LLMs locally, understanding the fundamentals of AI model training and optimization.
Inside the book +
- Introduction to Large Language Models
- Local LLM deployment strategies
- Practical AI implementation guides
- Performance optimization techniques
High Performance in-memory computing with Apache Ignite
Master the power of in-memory computing with Apache Ignite. This comprehensive guide walks you through building scalable, high-performance applications using distributed caching, SQL queries, and real-time processing.
Inside the book +
- In-depth coverage of Apache Ignite architecture
- Practical examples of distributed computing
- Performance optimization techniques
- Real-world use cases and implementations
More ideas, between the books.
Notes from the work.