Nic Roland

88 Reads

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Vibe Coding: Building Production-Grade Software With GenAI, Chat, Agents, and Beyond

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Vibe Coding: Building Production-Grade Software With GenAI, Chat, Agents, and Beyondby

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The Lifecycle of Software Objects

The Lifecycle of Software Objectsby

Ted Chiang

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Vibe Coding: Building Production-Grade Software With GenAI, Chat, Agents, and Beyond

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Vibe Coding: Building Production-Grade Software With GenAI, Chat, Agents, and Beyondby

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Titanium Noir

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Titanium Noirby

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The Product-Minded Engineer

The Product-Minded Engineerby

Drew Hoskins

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Updated a reading goal:

2026 Reading Goal

Read 10k pages by December 31, 2026

Progress so far: 1843 / 10000 18%

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Titanium Noir

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Titanium Noirby

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Vibe Coding: Building Production-Grade Software With GenAI, Chat, Agents, and Beyond

Is 27% done with

Vibe Coding: Building Production-Grade Software With GenAI, Chat, Agents, and Beyondby

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The Developer's Playbook for Large Language Model Security

Added to listAIwith 21 books.

The Developer's Playbook for Large Language Model Securityby

Steve Wilson

LLM Engineer's Handbook: Master the Art of Engineering Large Language Models From Concept to Production

The Developer's Playbook for Large Language Model Security

Learning LangChain

Generative AI Design Patterns

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs

Building Applications with AI Agents: Designing and Implementing Multi-Agent Systems

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The Developer's Playbook for Large Language Model Security

The Developer's Playbook for Large Language Model Securityby

Steve Wilson

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Learning LangChain

Learning LangChainby

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Generative AI Design Patterns

Generative AI Design Patternsby

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Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applicationsby

John Berryman

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Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputsby

James Phoenix

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Building Applications with AI Agents: Designing and Implementing Multi-Agent Systems

Building Applications with AI Agents: Designing and Implementing Multi-Agent Systemsby

Michael Albada

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Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt

Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adaptby

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LLM Engineer's Handbook: Master the Art of Engineering Large Language Models From Concept to Production

LLM Engineer's Handbook: Master the Art of Engineering Large Language Models From Concept to Productionby

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The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition

The Pragmatic Programmerby

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AI Engineering: Building Applications with Foundation Models

AI Engineering: Building Applications with Foundation Modelsby

Chip Huyen

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A Philosophy of Software Design

A Philosophy of Software Designby

John Ousterhout

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systemsby

Martin Kleppmann

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Designing Data Visualizations: Representing Informational Relationships

Designing Data Visualizationsby

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Cracking the Coding Interview: 150 Programming Questions and Solutions

Cracking the Coding Interview: 150 Programming Questions and Solutionsby

Gayle Laakmann McDowell

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Computer Systems: A Programmer's Perspective

Computer Systems: A Programmer's Perspectiveby

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If Anyone Builds It, Everyone Dies

Finished Reading

If Anyone Builds It, Everyone Diesby

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