
Production AI
Agent Engineering in Production
How to Build AI Agents That Are Reliable, Observable, and Worth Trusting
View on AmazonThe author’s shelf · Krishna Pinnamaneni
Practical books for people building with AI. From the first prompt to the systems, safeguards, and engineering judgment that make it work in production.
English-language books.
Available through Amazon.
The collection
Explore production AI, developer workflows, career guides, and writing beyond engineering.
Showing all 25 books

Production AI
How to Build AI Agents That Are Reliable, Observable, and Worth Trusting
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Production AI
Defending Agentic Systems from Prompt Injection, Tool Abuse, Data Leaks, Identity Failures, and MCP Supply-Chain Attacks
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Production AI
The Engineering Leader's Guide to Review, Traceability, Testing, and Control for AI-Generated Software
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Production AI
Building Trusted Pipelines and Data Products for RAG, Agents, Fine-Tuning, Evals, and Real-Time AI
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Production AI
Building Reliable Evals for LLMs, Agents, RAG, Coding Systems, and Model Upgrades
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Production AI
Controlling Cost, Capacity, Unit Economics, and Margin for LLMs, Agents, RAG, Training, and Inference
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Production AI
Building Secure, Reliable Control Planes for LLMs, Agents, MCP, Routing, Quotas, and Multi-Provider AI
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Production AI
Serving, Routing, Caching, Quantization, and Scaling LLMs for Latency, Throughput, Cost, and Reliability
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Production AI
Designing Durable Context, Long-Term Memory, State, Retrieval, and Learning Loops for Reliable Agents
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Production AI
Tracing, Metrics, Logs, Evals, Cost, and Incident Response for LLMs, RAG, and Agents
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Production AI
Building Internal Developer Platforms for Models, Agents, RAG, Evals, Security, and FinOps
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Production AI
Shipping Models, Agents, Prompts, RAG, and AI Platforms Safely with Versioning, Canaries, Rollbacks, and Evidence
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Production AI
Build AI-Ready Repositories, Specs, Tests, Guardrails, and Production Workflows for Codex, Claude Code, Cursor, Copilot, Windsurf, and MCP-Based Tools
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Production AI
Building Secure, Scalable Model Context Protocol Servers, Clients, Registries, and Agent Integrations
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AI & developer tools
How Senior ICs and Tech Leads Design, Review, and Ship Software with Cursor, Claude, and the Modern AI Toolchain
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AI & developer tools
A developer guide to prompts, tools, agents, and Claude Code workflows.
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AI & developer tools
The Definitive Developer Bible: Build, Debug, Refactor, Review, Test, Automate, and Ship Production Software with OpenAI Codex
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AI & developer tools
The Definitive Developer Bible: Build, Debug, Refactor, Review, Test, Automate, and Ship Production Software with Google Gemini 2.0
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AI & developer tools
A Practical Field Guide from Clear Instructions to Production Systems
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AI & developer tools
How AI Agents Will Redesign Software, Teams, and the Future of Work
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Career & mobile
The Complete Playbook for Coding, System Design, Behavioral Rounds, and Offer-Winning Execution
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Career & mobile
Building Exceptional Apps in the AI Era
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Beyond engineering
The 4-Step Method to Break the Patterns Running Your Life
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Beyond engineering
A literary first-contact novel about communication, trust, and radically different minds.
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Behind the books
Krishna Pinnamaneni is an engineering leader and independent product builder with experience across PayPal, ADP, and Verizon. His writing explores how engineers design, evaluate, secure, and ship software as AI becomes part of everyday development.
The collection spans agent systems, memory, evaluation, observability, infrastructure, and developer tools, alongside mobile development, career preparation, personal growth, and science fiction.
Explore Krishna’s work ↗