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Development

Featured in Development

Clojure's Journey: From Simplicity to Enterprise Maturity

Jordan Miller discusses the evolution of the Clojure ecosystem, from Rich Hickey's initial vision tackling complexity to its current status as a mature enterprise solution. He explains key philosophies, highlights pivotal moments like the "Simple Made Easy" talk, and showcases the vibrant Clojure community and its innovative tools.

All in development

Architecture & Design

Featured in Architecture & Design

Using Traffic Mirroring to Debug and Test Microservices in Production-Like Environments

Traffic mirroring has evolved from a network security tool to a robust method for debugging and testing microservices using real-world data. By safely duplicating production traffic to a shadow environment, teams can replicate elusive bugs, profile performance under actual load, validate new features, and detect regressions, ensuring that production remains isolated and user experiences intact.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Rust: A Productive Language for Writing Database Applications

Carl Lerche discusses Rust's potential as a productive language for building higher-level applications like web apps and backends, traditionally seen as performance-sensitive domains. He explains how Rust's quality benefits can translate to long-term productivity and shares practical tips and tricks for using Rust effectively.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Technology Radar and the Reality of AI in Software Development

Shane Hastie, Lead Editor for Culture & Methods spoke to Rachel Laycock, Global CTO of Thoughtworks, about how the company's Technology Radar process captures technology trends around the globe. She is sceptical of the current AI efficiency hype, emphasizing that real value of generative AI tools lies in solving complex problems like legacy code comprehension rather than just writing code faster.

All in culture-methods

DevOps

Featured in DevOps

Inflection Points in Engineering Productivity as Amazon Grew 30x

In this article, Carlos Arguelles elaborates on how engineering productivity needs a shift as organizations scale. He shares examples from his time at Google and Amazon, explaining how some architectural decisions made at these companies shaped the way they develop software. Engineering productivity investments depend on inflection points, scale, controls, data, and tooling choices.

All in devops

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Web Development

Making Npm Install Safe

Kate Sills discusses how to minimize the risks of running third-party JavaScript.

Kate Sills
on Apr 23, 2020

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39:21

Topics

Clojure's Journey: From Simplicity to Enterprise Maturity

Using Traffic Mirroring to Debug and Test Microservices in Production-Like Environments

Rust: A Productive Language for Writing Database Applications

Technology Radar and the Reality of AI in Software Development

Inflection Points in Engineering Productivity as Amazon Grew 30x

Helpful links

Choose your language

Presentations

Making Npm Install Safe

Apple Completes Migration of Key Ecosystem Service to Swift, Gains 40% Performance Uplift

Another Rust Rewrite: OpenAI’s Codex CLI Goes Native, Drops Node and TypeScript for Rust

Goodbye CVE? European Vulnerability Database EUVD Now Live

Using Traffic Mirroring to Debug and Test Microservices in Production-Like Environments

Legacy Modernization: Architecting Realtime Systems around a Mainframe

The MVP Dilemma: Scale Now or Scale Later?

Technology Radar and the Reality of AI in Software Development

Applying Observability to Leadership to Understand and Explain your Way of Working

Platform Engineering: Evolution, Trends, and Future Impact on Software Delivery

HTAP: The Rise and Fall of Unified Database Systems?

Meta Introduces V-JEPA 2, a Video-Based World Model for Physical Reasoning

Anthropic Releases Claude Code SDK to Power AI-Paired Programming

AWS CodeBuild Introduces Docker Server Capability to Accelerate CI/CD Pipelines

GitHub Unveils Prototype AI Agent for Autonomous Bug Fixing

Apple Containerization a Native Linux Container Support for macOS

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