Code as Data (Early Release) by Bryan Friedman (.ePUB)+
File Size: 10 MB
Code as Data: Governing and Evolving Large-Scale Codebases in the Era of AI (2026-04-23: Early Release) by Bryan Friedman, Pat Johnson, Olga Kundzich
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 10 MB
Overview: Are you letting one of your most critical assets go unmanaged? While many organizations have sophisticated platforms for managing customer data, their source code remains ungoverned, causing a host of issues—technical debt, security exposure, stalled modernization, and unreliable AI automation. Code as Data introduces the framework you need to overcome these challenges: treating source code as structured, queryable knowledge. What would it look like to actually know your code definitively? It’s not access to more dashboards, inventories, or scans. It’s not agents reconstructing context with every repository. It’s a representation of software systems with enough fidelity to describe how they actually behave across repositories. The more accurate the model of the software estate, the more reliably both teams and their agents can understand what they are changing and why. This book is written for engineering leaders, architects, and senior engineers responsible for large software estates who need to think clearly about what the AI era demands of them. We will cover the semantic models and analysis techniques that make it possible to reason accurately about large codebases—and how they unlock automated transformation at scale, advanced program analysis, and new visibility into code quality and testing gaps. We’ll also share how this same intelligence is what will supercharge coding agents, addressing the foundational challenge that has always limited what engineering organizations can achieve: the gap between what they build and what they actually understand. The pace of change in AI means some details may age quickly. The underlying shift in how software is understood, analyzed, and changed at scale will not.
Genre: Non-Fiction > Tech & Devices
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