Software Engineering

Your LLM pipeline passed every check, and a fallback model still served 50 of its 71 successful calls. This case study follows one real multi-stage pipeline through its failures and shows how to make each stage traceable, attributable and honestly measured.

Decision models answer a typed question with a calibrated probability in one forward pass: no token stream, no parsing, no values outside your schema. This guide explains TypeSafe's Jev and the open "JEV-like" family, then shows how to choose, run, serve, fine-tune and evaluate local variants on your own hardware.

Polars 2.0 changed defaults that don't raise errors: lazy queries now stream, and joins no longer keep row order. This short guide shows exactly what breaks when you upgrade from 1.x, with every example run under both 1.44.2 and 2.0.0 and the real output printed side by side.

The battle-tested prompt framework and architectural system rules to turn any AI coding assistant into a principal full-stack engineer.

Você viu um modelo de linguagem fazer meia hora de trabalho sozinho. Este livro trata da pergunta que veio logo depois: até que ponto você pode confiar nele?

Has visto a un modelo de lenguaje hacer media hora de trabajo por su cuenta. Este libro trata de la pregunta que vino después: ¿hasta qué punto puedes confiar en él?

Build a real compiler from the ground up with Rust. Follow the journey from source code to native x86-64 machine code as you design Lumina, explore optimization and register allocation and tackle the practical challenges that come with building a production-quality compiler.

What does it take to turn an AI agent from a clever demo into something you can trust in production? This hands-on guide uses DeepSeek Harness to show how to build reliable, secure and observable agents, from a simple script to a production-ready service with budgets, tracing, evals and multi-tenant support.

You watched a language model do half an hour of work on its own. This book is about the question that came next: how much of it can you trust?

Learn Go from language foundations to dependable command-line tools and production services. Visual explanations connect concurrency, networking, testing, security, diagnostics, and operations with practical implementation and troubleshooting.

Thirty-two short field essays for engineers, with practical checklists and questions for team discussion. From your first years on the job to leading your first team, use these accounts to examine a decision you face: what you believe, what you can check, and what remains uncertain.

Master Tcl 9.1 from the ground up with a practical guide that goes far beyond the basics. Explore the language, TclOO, metaprogramming, internals, C extensions and production architecture through clear explanations and runnable examples. Whether you are new to Tcl or upgrading, build the skills to write clean, reliable software.

Build real systems software with Odin. This practical guide takes you from the language basics to memory, concurrency, networking and performance. Learn how Odin works under the hood while building parsers, allocators, simulations and more, with complete examples and clear comparisons to C, C++, Rust and Go.

In this book, one estate runs through all fourteen chapters. There are eight services across two regions, a hybrid link to an older data centre, a storefront that real customers use, and one service backed by a language model. We use OpenObserve for that, bring all the signals into it, shape the data until long-term storage becomes affordable, and then spend the rest of the time diagnosing the estate when it breaks. There won't be a feature tour here. The features don't stand the test of time, and the screenshots are even worse. What you'll find is a method. First, scope the flag, orient before acting, form a hypothesis you can disprove, test it against evidence rather than instinct, repair, verify, and add the prevention that stops the same failure twice. That loop works whatever platform you use.

Take a practical deep dive into modern Haskell development with GHC, Cabal, HLS and effect systems. Learn how the tools work under the hood, how they fit together and how to use them effectively in real production projects. Built for engineers who want to move beyond syntax and develop Haskell with confidence.