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Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

Evolutionary Architecture in Practice

Discover how to keep software evolvable as systems, technology, and teams shift. This edition explores agentic fitness functions for semantic drift, treating human comprehension as a core design metric, cross-cloud guardrails for regional autonomy, and aligning technical boundaries with Conway’s Law. Move beyond static diagrams to continuous feedback systems that keep change safe and intentional.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents

Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context construction, multi-model routing, and feedback loops to help engineering leaders successfully scale agentic workflows.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The Minimum Viable Manager: Building Trust, Feedback, and Alignment

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Matt Gjertsen, founder of Built and author of Minimum Viable Manager, about the three foundational skills every first-time manager needs, how to build trust and give effective feedback, and why human leadership skills matter even more in the age of AI.

All in culture-methods

DevOps

Featured in DevOps

Exploding GPUs

Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.

All in devops

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Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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AI, ML & Data Engineering

When Should You Use Liquid Clustering? Benchmarking Lakehouse Layout Strategies

Physical data layout is one of the most consequential decisions in lakehouse engineering. The author compares Liquid Clustering, ZOrdering, and partitioning across four workload types on Delta Lake, uncovering two undocumented failure modes that likely affect production systems today and offering a decision framework for choosing the right layout strategy.

Kushal Kumar Vishwakarma
on Oct 12, 2026
Java

Jakarta EE 12 Milestone 2: Advent of the Data Age along with Consistency and Configuration

Jakarta EE 12 Milestone 2 marks the beginning of the next generation of enterprise Java. It introduces Jakarta Query, a unified query language across Persistence, Data, and NoSQL, while aligning the platform with Java 21. This milestone focuses on integration, modernization, and improving developer productivity for cloud-native enterprise applications.

Otavio Santana
on Feb 10, 2026
Architecture & Design

Optimizing Search Systems: Balancing Speed, Relevance, and Scalability

Innovative software engineer focused on optimizing search performance in dynamic environments. This article highlights key strategies from our QCon San Francisco 2024 presentation, addressing challenges faced by platforms like Uber Eats in data indexing and retrieval. Our advancements ensure swift, relevant user experiences amidst ever-growing datasets.

Janani Narayanan Karthik Ramasamy
on Jul 16, 2025

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