Software engineering at Big Tech and startups, from the inside. Deepdives with experienced engineers and tech professionals who share their hard-earned lessons, interesting stories and advice they have on building software. Especially relevant for software engineers and engineering leaders: useful for those working in tech. newsletter.pragmaticengineer.com
Distributed systems require a shift from focusing solely on robustness to embracing graceful extensibility and sustained adaptability. Resilience is not a binary state but a degree of system behavior that evolves through human-centric collaboration and psychological safety. Core challenges in distributed architectures ...
Distributed systems expert and Cockroach Labs CTO Peter Mattis explores the intersection of high-performance database engineering and AI-augmented development. Mattis details his career trajectory, from co-creating GIMP and building foundational Google infrastructure like Gmail and Colossus, to founding CockroachDB. He...
Design engineering bridges the gap between aesthetic interface design and technical software architecture, requiring practitioners to understand both visual constraints and backend data flow. Maggie Appleton, a design engineer at GitHub Next, emphasizes that while AI tools significantly accelerate prototyping and imple...
Software engineering fundamentals remain critical for effective AI agent collaboration, as these models often struggle with strategic reasoning and long-term code maintainability. Integrating classic principles—such as domain-driven design, vertical slicing, and tracer bullet development—into agent workflows significan...
Codex functions as a specialized coding agent, evolving from internal research infrastructure at OpenAI into a widely used product. Built in Rust to ensure long-term scalability and security, the project prioritizes architectural robustness over immediate convenience. The development team maintains an open-source strat...
Addy Osmani, former director of engineering at Google, details his career trajectory from building a custom web browser as a teenager to leading the Chrome DevTools team. The discussion centers on the evolving nature of software engineering in the age of AI, emphasizing the shift from manual coding to specifying and ve...
Software engineering is undergoing a fundamental shift as AI-generated code becomes ubiquitous, forcing a transition from manual editing to managing non-deterministic systems. Because code generation is now cheap, the focus must shift to rigorous validation, deterministic simulation testing, and observability to mainta...
Formal methods offer a rigorous mathematical approach to verifying software correctness, yet their application remains niche due to the high complexity of modeling real-world systems. Software engineering parallels traditional engineering disciplines in its reliance on iterative development and planning, though it uniq...
The evolution of software development toward agentic factories requires balancing rapid automation with human architectural oversight. Context engineering—the deliberate optimization of model inputs—serves as the primary lever for improving AI output quality, moving beyond simple prompt engineering. While "loop enginee...
Software engineering is undergoing a fundamental transformation as AI-native workflows replace traditional development lifecycles. While large organizations struggle to retrofit innovation, smaller, agile teams are successfully integrating AI to optimize business outcomes. Hiring practices are shifting away from pure a...
Software engineering is fundamentally a human-centric discipline defined by trust, empathy, and communication rather than mere code production. Kent Beck, a pioneer in software engineering, traces his career from early Smalltalk innovation to the creation of Extreme Programming, Test-Driven Development, and the Agile M...
CI/CD at scale remains one of the most challenging infrastructure problems in software engineering, requiring a shift from traditional "big bang" releases to granular, controlled delivery methods. Progressive delivery—specifically through canary deployments and feature toggles—decouples deployment from release, allowin...
Kelsey Hightower’s unconventional career trajectory from a college dropout installing DSL modems to a Distinguished Engineer at Google illustrates the power of continuous skill acquisition and authentic professional growth. Hightower emphasizes that every job functions as an interview, where consistent, high-impact wor...
AI-driven software engineering requires a shift from rapid, feature-focused development to a more disciplined, foundation-first approach. Dax Raad, co-founder of the open-source coding harness OpenCode, highlights that while AI tools enable faster task completion, they often obscure the "hackiness" of code, creating lo...
Anders Hejlsberg, a legendary figure in software engineering, traces his four-decade career in programming language design, from creating Turbo Pascal and Delphi to developing C and TypeScript. The discussion centers on the evolution of developer productivity, emphasizing that effective language design requires a holis...
AI coding agents are fundamentally shifting software development, yet their rapid adoption often leads to declining code quality and increased complexity. Mario Zechner, creator of the minimalist agent Pi, and Armin Ronacher, creator of Flask, argue that while agents excel at automating repetitive tasks, they lack the ...
Designing Data-Intensive Applications author Martin Kleppmann discusses the evolution of backend systems and the rationale behind the second edition of his seminal book. Modern system design has shifted from local-disk-based architectures to cloud-native primitives, necessitating a reevaluation of how engineers approac...
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