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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

Agentic Terminal - How Your Terminal Comes Alive with CLI Agents

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval where needed, and execute the requests. He also explains the planning styles for three different CLI tools: Gemini, Claude, and Auto-GPT.

Sachin Joglekar
on Jan 08, 2026
Development

Effective Practices for Coding with a Chat-Based AI

In this article, we explore how AI agents are reshaping software development and the impact they have on a developer’s workflow. We introduce a practical approach to staying in control while working with these tools by adopting key best practices from the discipline of software architecture, including defining an implementation plan, splitting tasks, and so on.

Enrico Piccinin
on Jul 04, 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

Agentic Terminal - How Your Terminal Comes Alive with CLI Agents

Effective Practices for Coding with a Chat-Based AI

Expanding Swift from Apps to Services

Google Pushes for gRPC Support in Model Context Protocol

Working with Code Assistants: The Skeleton Architecture

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

Google Supercharges Gemini 3 Flash with Agentic Vision

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

OpenCode: an Open-source AI Coding Agent Competing with Claude Code and Copilot

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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