Books

Build a compiler from the machine up. Start with twelve bytes of machine code you encode by hand, and finish with a compiler whose ray tracer draws exactly what gcc's build of it draws.

Bridge the critical gap between Agile delivery and bottom-line business performance. Agile Constraints Management introduces a revolutionary framework that merges Agile adaptability with the Theory of Constraints and Throughput Economics. Stop chasing team-level "velocity" and start driving measurable economic throughput by pinpointing hidden bottlenecks, forecasting with scientific precision, and managing work through outcome-focused MOVEs.

For agencies & freelancers: Promote your services with ease, clarity, and confidence.Practical advice on growing a brand that’s focused on you (the owner), your team, and the relationships you form with your clients. It fills the void between personal branding and corporate branding, when neither of them really fits your needs.

Build financial systems that stay correct when requests repeat, events arrive late, and services fail. Learn practical patterns for money modeling, double-entry ledgers, idempotency, reconciliation, auditability, security, and invariant-driven testing—so every balance and transaction can be explained and trusted.

A scenario-based study guide for the Claude Certified Architect Foundations (CCAR-F) exam. Learn to reason like an architect across all five domains, then prove it on two full practice exams.

In parte memoria, in parte manifesto artistico, in parte cospirazione dietro le quinte contro la certezza. Una ballerina professionista esplora la propriocezione, il ritmo e il disagio del non sapere, e il motivo per cui la creatività funziona al meglio nel momento in cui smetti di cercare di controllarla.

Best book for curious individuals

Tired of paying the "container tax" for bursty, event-driven workloads? It's time to elevate your cloud architecture. Building Serverless Applications with WebAssembly & Spin walks you through constructing a robust, multi-component Rust app from scratch. You will master Spin, learn about the underlying Wasm Component Model, and ship your app seamlessly to both Kubernetes and edge runtimes. Ditch heavy base images, eliminate cold starts, and master the future of lightweight, secure serverless compute.

We'll be writing kernels in Rust and seeing how they match up with their C++ equivalents. If you feed a GPU properly, you'll see bandwidth quadruple from just one changed subscript. It'll get you working with thousands of threads, pricing a financial option based on an exact formula, and shipping an inference pipeline that outruns its Python equivalent for reasons you can name.

Build reliable LLM applications from first prompt to production agent. AI Engineering Visualized uses memorable doodles, practical Python, RAG, evals, tool calling and safety patterns to help you ship AI systems that work on Monday.

Modern cloud-native applications generate massive volumes of telemetry data, making observability increasingly expensive and difficult to scale. While OpenTelemetry has become the industry standard for distributed tracing, traditional tail-based sampling architectures often require stateful collector clusters with significant memory and processing overhead. Rethinking OpenTelemetry Tail-Based Sampling explores how Event-Driven Architecture (EDA) and event mesh technologies can be used to address these challenges. Through practical examples, architectural analysis, and implementation considerations, this book examines OpenTelemetry sampling strategies and presents an alternative approach that externalizes trace buffering and sampling coordination beyond the collector layer. Whether you are an observability engineer, platform architect, integration specialist, SRE, or cloud-native practitioner, this book provides practical guidance for designing scalable, resilient, and cost-effective distributed tracing platforms.

Residuality Theory is a new way to think about the design of software systems that explains why we experience design the way we do, why certain things seem to work only sporadically, and why certain architects get it right so often regardless of which tools they use. A new, scientific approach is defined that fuses Software Engineering, Complexity Science, and Philosophy to produce an entirely new way to think about how to design software. The result is a theoretical base that allows architecture to finally become its own discipline.

You know how to build frontend applications. But can you explain how you would design one when the requirements are vague, the constraints keep changing, and you only have 45 minutes?Frontend System Design Interviews gives you a practical framework for structuring that conversation, making trade-offs, and going deep on the problems that actually change the architecture.

Чому проєкт-цукерочка через рік перетворюється на непідтримуване пекло? Тому що вас ніколи не вчили базі. Ця книга — єдина система координат, яка нарешті збере ваші розрізнені знання про ООП, GRASP, SOLID та GoF в одну цілісну картину.

Revised for PyTorch 2.x! In 2019, I published a PyTorch tutorial on Towards Data Science and I was amazed by the reaction from the readers! Their feedback motivated me to write this book to help beginners start their journey into Deep Learning and PyTorch. I hope you enjoy reading this book as much as I enjoy writing it.