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Development

Featured in Development

Expanding Swift from Apps to Services

Cory Benfield discusses the evolution of Swift from an app language to a critical tool for secure, high-scale services. He explains how Swift’s lack of a garbage collector eliminates tail latency and shares how its "zero-cost abstractions" rival C performance. He shares Apple’s roadmap for incremental adoption and demonstrates groundbreaking new interoperability for C++ and Java ecosystems.

All in development

Architecture & Design

Featured in Architecture & Design

Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, circuit breakers, and strong observability. But long‑term speed depends on culture, with teams owning p99, monitoring drift, managing thread pools, and treating performance as a shared, continuous responsibility.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems

Sarah Usher discusses the architectural "breaking point" where warehouses like BigQuery struggle with latency and cost. She explains the necessity of a conceptual data lifecycle (Raw, Curated, Use Case) to regain control over lineage and innovation. She shares practical strategies to design a single source of truth that empowers both ML teams and analytics without bottlenecking scale.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

Thiago Ghisi discusses the strategic evolution required to lead 100+ engineers without breaking the organization. He explains his "Three Levels of Impact" framework and shares practical lessons on speeding up decision-making, cultivating leadership teams, and building organizational resilience. Learn why he views reorgs as a continuous deployment feature rather than a one-time traumatic event.

All in culture-methods

DevOps

Featured in DevOps

From Alert Fatigue to Agent-Assisted Intelligent Observability

As systems grow, observability becomes harder to maintain and incidents harder to diagnose. Agentic observability layers AI on existing tools, starting in read-only mode to detect anomalies and summarize issues. Over time, agents add context, correlate signals, and automate low-risk tasks. This approach frees engineers to focus on analysis and judgment.

All in devops

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AI, ML & Data Engineering

Article Series: AI-Assisted Development: Real World Patterns, Pitfalls, and Production Readiness

In this series, we examine what happens after the proof of concept and how AI becomes part of the software delivery pipeline. As AI transitions from proof of concept to production, teams are discovering that the challenge extends beyond model performance to include architecture, process, and accountability. This transition is redefining what constitutes good software engineering.

Arthur Casals
on Jan 21, 2026
AI, ML & Data Engineering

The Missing Layer in AI Infrastructure: Aggregating Agentic Traffic

In this article, author Eyal Solomon discusses AI Gateways, the outbound proxy servers that intercept and manage AI-agent-initiated traffic in real time to enforce policies and provide central management.

Eyal Solomon
on Aug 22, 2025

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Topics

Expanding Swift from Apps to Services

Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs

Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems

Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

From Alert Fatigue to Agent-Assisted Intelligent Observability

Helpful links

Choose your language

Articles

Article Series: AI-Assisted Development: Real World Patterns, Pitfalls, and Production Readiness

The Missing Layer in AI Infrastructure: Aggregating Agentic Traffic

How CNAME Ordering in RFC Specs Caused Cloudflare 1.1.1.1 Outage

Expanding Swift from Apps to Services

Google Pushes for gRPC Support in Model Context Protocol

LinkedIn Leverages GitHub Actions, CodeQL, and Semgrep for Code Scanning

LinkedIn Re-Architects Service Discovery: Replacing Zookeeper with Kafka and xDS at Scale

GitHub Reworks Layered Defenses After Legacy Protections Block Legitimate Traffic

Getting Feedback from Test-Driven Development and Testing in Production

Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

The Technical Founder's Path: Code, Leadership, and Balance

Cloudflare Demonstrates Moltworker, Bringing Self-Hosted AI Agents to the Edge

Google Supercharges Gemini 3 Flash with Agentic Vision

Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing

Datadog Integrates Google Agent Development Kit into LLM Observability Tools

From Alert Fatigue to Agent-Assisted Intelligent Observability

Etleap Launches Iceberg Pipeline Platform to Simplify Enterprise Adoption of Apache Iceberg

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