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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

Google Introduces Conductor, a Context-Driven Development Extension for Gemini CLI

Google has released Conductor, a new preview extension for Gemini CLI that introduces a structured, context-driven approach to AI-assisted software development. The extension is designed to address a common limitation of chat-based coding tools: the loss of project context across sessions.

Robert Krzaczyński
on Jan 13, 2026
AI, ML & Data Engineering

Google’s Open Source Gemini CLI Extensions Let Developers Build Custom AI-Powered Workflows

Google's Gemini CLI Extensions launch an open-source framework empowering developers to create and share integrations effortlessly. With modular architecture and playbooks for seamless tool interaction, Gemini CLI becomes a central hub for AI-assisted workflows. The platform fosters collaboration with prominent partners, enabling a robust ecosystem for personalized developer tools.

Hien Luu
on Oct 18, 2025
AI, ML & Data Engineering

Genkit Extension for Gemini CLI Brings Framework-Aware AI Assistance to the Terminal

Introducing Google's Genkit Extension for Gemini CLI: a groundbreaking tool that delivers framework-aware AI assistance directly to the terminal. Streamline your Genkit application development with context-aware code generation, debugging, and best practices—all without leaving the command line. Unleash productivity and innovation in building generative AI applications.

Hien Luu
on Oct 13, 2025

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