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Development

Featured in Development

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.

All in development

Architecture & Design

Featured in Architecture & Design

Where Architects Sit in the Era of AI

As AI evolves from tool to collaborator, architects must shift from manual design to meta-design. This article introduces the "Three Loops" framework (In, On, Out) to help navigate this transition. It explores how to balance oversight with delegation, mitigate risks like skill atrophy, and design the governance structures that keep AI-augmented systems safe and aligned with human intent.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Ecologies and Economics of Language AI in Practice

Jade Abbott discusses the shift from massive, resource-heavy models to "Little LMs" that prioritize efficiency and cultural sustainability. She explains how techniques like LoRA, quantization, and GRPO allow for high performance with less compute. By sharing the "Ubuntu Punk" philosophy, she shares how to move beyond extractive data practices toward human-centric, sustainable AI systems.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

Beth Anderson discusses the "power distance index" and its critical role in communication. Using the Korean Air Flight 801 tragedy as a case study, she explains the dangers of hierarchy-driven silence. She shares actionable frameworks for building the four stages of psychological safety, implementing reverse mentoring, and using PRs as tools for knowledge sharing rather than gatekeeping.

All in culture-methods

DevOps

Featured in DevOps

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Bruno Borges discusses a paradigm shift in performance management: moving from manual tuning to automated SRE agents. He explains how to leverage the USE and jPDM methodologies alongside LLMs to reduce MTTR from hours to seconds. By utilizing MCP tools for real-time diagnostics and memory dump analysis, he shares how engineering leaders can scale systems while meeting strict objectives.

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Development

The Last Programming Language

Robert Martin walks through some of the history of programming languages, and then prognosticates on the future of languages.

Robert Martin
on Feb 03, 2016

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55:43

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Topics

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Where Architects Sit in the Era of AI

Ecologies and Economics of Language AI in Practice

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Helpful links

Choose your language

Presentations

The Last Programming Language

How Developers in Southeast Asia and India Are Really Using AI in 2025

MinIO GitHub Repository in Maintenance Mode: What's Next for the Open Source Object Storage?

Cloudflare Open Sources tokio‑quiche, Promising Easier QUIC and HTTP/3 in Rust

AWS Expands Well‑Architected Guidance with Data Residency and Hybrid Cloud Lens

Uber Adopts Amazon OpenSearch for Semantic Search to Better Capture User Intent

Benchmarking beyond the Application Layer: How Uber Evaluates Infrastructure Changes and Cloud Skus

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

Effective Mentorship and Remote Team Culture with Gilad Shoham

How Artificial Intelligence Can Help Us Connect with Customers

SIMA 2 Uses Gemini and Self-Improvement to Generalize Across Unseen 3D and Photorealistic Worlds

Ecologies and Economics of Language AI in Practice

OpenAI and Anthropic Donate AGENTS.md and Model Context Protocol to New Agentic AI Foundation

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Stop Guessing, Start Improving: Using DORA Metrics and Process Behavior Charts

Michelin Drives Pragmatic Path to AIOps Without a Grand Vision

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