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The Weekly Roundup: October 17—23

Saturday, October 24, 2026

Check out all our latest half off new releases! ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­  
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The Weekly Roundup: October 17—23

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Save 40% on your entire order this week!

Plus SAVE HALF on our latest releases!

Offer expires midnight PT October 25. Only at manning.com.

Here's your opportunity to catch up on Manning's latest releases, MEAP updates, bestsellers and more! 

New MEAP! The Architecture of Reasoning

AI models “reason” by applying specific, reproducible patterns to break down tasks, solve multi-step problems, and produce complex documents, images, and code. What if those same reasoning patterns could help you—a human—make better decisions?

In The Architecture of Reasoning, author Rick Giner explores five reasoning structures revealed through AI research and shows you how to apply them to everyday problem-solving, decision-making, and teamwork. Packed with practical tools—including a 60-second problem-shape check, reasoning-selection tables, and 

Giner-MEAP-HI

Chain-of-Thought scaffolds—this book helps you make better decisions without adding unnecessary complexity. Whether you’re solving problems independently, collaborating with a team, or designing workflows supported by AI, you’ll learn to choose your reasoning approach deliberately and turn clearer thinking into better outcomes. [Read more]

7 chapters of this new MEAP are available now with more to follow soon!

SAVE HALF until November 6

eBook $39.99$19.99
print $49.99$24.99
Be sure to also check out
  • Context Engineering 
  • Vibe Engineering 
  • Software Mistakes and Tradeoffs 

New MEAP! Decision Engineering

Senior engineers are expected to make consequential technical choices: what to build, what to buy, which technologies to adopt, and which to retire. And many of these decisions have been radically affected by the use of AI in products and as part of the product development life cycle. Decision Engineering gives you a repeatable process for making those choices—from defining the problem and comparing alternatives to building agreement and putting the decision into practice. Drawing on his experience as an engineer, architect, manager, and CTO, Grygoriy Gonchar shows you how to connect business needs to technical choices and

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explain their tradeoffs to engineers, product teams, and leadership.

The book is grounded in real-world examples you might face in the industry, from a customer support AI agent to choosing a data ingestion solution and deciding on a design system library. Each example gives you the guidance you need on how to reason under uncertainty, how to counter the cognitive biases that distort technical judgment, and how to handle disagreement in a way that produces better outcomes. [Read more]

4 chapters of this new MEAP are available now with more to follow soon!

SAVE HALF until November 4

eBook $63.99$31.99
print $79.99$39.99
Be sure to also check out
  • Context Engineering 
  • Vibe Engineering 
  • Software Mistakes and Tradeoffs 

More new MEAPs

Alexopoulos-MEAP-HI
  • Evaluating AI Systems
  • Self-Improving Agents 
  • Memory Safe C++ 
  • Claude at Work 
  • Software Architecture Decision-Making 
  • Grokking Parallel Programming 
  • AI Recommender Systems 
  • Spec-Driven Development 
  • Agent Design Patterns 
  • Kargo in Action 

Now in print! Financial AI in Practice

Banks, insurance companies, mortgage lenders, and other institutions that deal with big money play by different rules than the rest of the software industry. Financial software—including machine learning and AI models—has to survive contact with regulators, risk committees, and real markets.

 

In this authoritative guide, author Taehun Kim distills a decade of fintech expertise into a structured 4-Layer Framework encompassing Data Assets, Modeling, Strategy & Monitoring, and Application. Step by step, you’ll discover everything you need to build powerful AI-driven 

Kim-HI

financial applications capable of addressing four key industry challenges: fraud detection, credit scoring, investment strategy, and personalized forecasting! [Read more]

SAVE HALF until November 3

eBook $63.99$31.99
print $79.99$39.99
Be sure to also check out
  • Fight Fraud with Machine Learning 
  • Build Financial Software with Generative AI (From Scratch) 
  • Finance Volatility Modeling 

More new print books

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  • Build Applications with Local AI Models on a Mac 
  • Building Distributed Applications that Work
  • Prompt Engineering in Practice 
  • Building LLM Applications with DSPy
  • Grokking Statistics 
  • Go in Action, Second Edition 
  • Fabulous Adventures in Data Structures and Algorithms 
  • Building Reliable AI Systems 
  • Authorization in Action 
  • Digital Twins in Action 

Recent MEAP updates

Kargo in Action >> Updates to Chapters 1 and 2 >> Where Kargo Meets Complexity! Follow the evolution of a software organization’s promotion layer to the point where its complexity requires the infrastructure that Kargo provides, along with other recent updates to chapters 1 and 2.    

Cochrane-MEAP-HI

Algorithms Every Programmer Should Know >> Chapter 12, “A* algorithm” >> Explore an algorithm that finds the cheapest path between a starting point and a destination, by leveraging an educated guess…    

Algorithms Every Programmer Should Know

Grokking Software Architecture >> Chapter 13, “Architecting for the Delivery Lifecycle (CI/CD): Building Automated Gates for High-Velocity Software Delivery” >> Discover why architecture dictates your release pipeline as you explore how your structural choices directly shape your deployment pipelines, how to choose the right network deployment strategies to eliminate user-facing downtime, and how to embed automated architectural guardrails into your lifecycle so that bad structural choices can never sneak into production.  

grokking software architecture

Microservices Patterns, Second Edition >> Chapter 13, “Using the CQRS pattern to implement system queries” >> Discover why some queries can’t use the API Composition pattern, examine a pattern that addresses the problem (hint: with no network round trips and no runtime coupling), and learn to weigh its benefits against its drawbacks.   

Richardson2ed-MEAP-HI

Embedded Software with Rust >> Chapter 8, “Rust-C Integration and Migration” >> Examine the mechanics of Rust-C integration and migration, including calling C from Rust, calling Rust from C, and automation. Then explore the question that every team eventually asks—and the decisions that need to be made in order to answer it.  

Cabanis-MEAP

Rearchitecting LLMs >> Chapter 11, “Precision pruning for bias” >> One variable is all it takes to change the behavior of a model with otherwise identical prompts. Learn a technique for getting a handle on that specific behavior—without having to retrain the model. 

Martra-MEAP-HI

AI Governance >> Chapter 6, “Ethical and trustworthy GenAI”, Chapter 7, “Regulation and Compliance”, & Chapter 8, “Governing for Uncertainty” >> Dive deeper into why trust in GenAI requires more than privacy and security safeguards as you examine three well-secured, fully privacy-preserving GenAI examples that could (or did) cause harm. Next, get an overview of high-risk systems under the EU AI Act and 

AI Governance

discover the two questions that determine your own system’s exposure. Then, explore how to make decisions while the technology and laws continue to change. 

MEAP bestsellers

Stoneman4-MEAP-HI
  • Claude at Work
  • Self-Improvement Agents
  • Spec-Driven Development
  • Evaluating AI Systems
  • Designing AI Agents
  • Crack Any Codebase with AI
  • Software Architecture Decision-Making
  • Grokking Parallel Programming
  • Context Engineering
  • Memory Safe C++ 

eBook bestsellers

Kanda-HI
  • Build Applications with Local AI Models on a Mac
  • AI Agents in Action, Second Edition
  • Deep Learning with Python, Third Edition
  • Build a Large Language Model (From Scratch)
  • Build a Reasoning Model (From Scratch)
  • Build an AI Agent (From Scratch)
  • AI Agents and Applications
  • Coding with AI
  • Financial AI in Practice
  • Prompt Engineering in Practice

Print bestsellers

BuildaLargeLanguageModel(FS)
  • Build a Large Language Model (From Scratch)
  • Build a Reasoning Model (From Scratch)
  • Claude at Work
  • Self-Improving Agents
  • Build an AI Agent (From Scratch)
  • Build Applications with Local AI Models on a Mac
  • Evaluating AI Systems
  • Deep Learning with Python, Third Edition
  • AI Agents in Action, Second Edition
  • Domain-Specific Small Language Models

liveProject bestsellers

Open LLMs on Your Own Computer
  • Open LLMs on Your Own Computer
  • Building an Agentic RAG Application
  • Deploy Services Using Kubernetes
  • Getting Started with Kubernetes
  • Event-Driven Data Pipeline with Python and Kafka
  • Build a Fintech Platform in Rust
  • Build a Small Dockerized Data Mesh
  • From Prompts to an Agentic System
  • Build Your LLM and Fine-Tune it for Real Tasks
  • Real-World Workflows with ChatGPT

liveVideo bestsellers

Randall Nagy - liveVideo Cover - Python for DevOps
  • Python for DevOps
  • Python as a Second Language
  • Get Programming with Python in Motion
  • Master and Build Large Language Models
  • Production-Ready Serverless
  • MicroPython for Everyone
  • Rust in Motion
  • The Complete Python Programming Course: Beginner to Advanced
  • Grokking Deep Learning in Motion
  • AWS Machine Learning in Motion
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