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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

Spec-Driven Development – Adoption at Enterprise Scale

Spec‑Driven Development shifts AI‑augmented software delivery from tactical prompting to collaborative intent articulation. Enterprises face gaps in tooling, workflow integration, multi‑repo coordination, and cross‑functional collaboration. Sustainable adoption requires treating specs as living, shared interfaces, and evolving organizational practices.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

DevOps Modernization: AI Agents, Intelligent Observability and Automation

The panelists share how AI is redefining DevOps and SRE practices by moving teams beyond reactive monitoring toward predictive, automated delivery and operations. They discuss integrating AI agents into CI/CD pipelines and feature management to enable intelligent rollouts and machine-speed remediation.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Beyond Code: How Engineers Need to Evolve in the AI Era

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Ben Greene about embracing AI in software engineering, expanding beyond pure technical skills to understand business context, and prioritizing human empathy in increasingly automated systems.

All in culture-methods

DevOps

Featured in DevOps

Proactive Autoscaling for Edge Applications in Kubernetes

Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or remove instances more smoothly, prevent sudden spikes, and keep performance stable on systems with limited resources.

All in devops

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Architecture & Design

Agoda’s API Agent Converts Any API to MCP with Zero Code and Deployments

Agoda engineers developed API Agent, enabling a single MCP server to access any internal REST or GraphQL API with zero code and zero deployments. The system reduces overhead from multiple APIs, supports AI-assisted queries, and uses in-memory SQL post-processing for safe, scalable data handling across internal services.

Leela Kumili
on Feb 16, 2026

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Topics

Expanding Swift from Apps to Services

Spec-Driven Development – Adoption at Enterprise Scale

DevOps Modernization: AI Agents, Intelligent Observability and Automation

Beyond Code: How Engineers Need to Evolve in the AI Era

Proactive Autoscaling for Edge Applications in Kubernetes

Helpful links

Choose your language

News

Agoda’s API Agent Converts Any API to MCP with Zero Code and Deployments

GitHub Agentic Workflows Unleash AI-Driven Repository Automation

Does AI Make the Agile Manifesto Obsolete?

WhatsApp Deploys Rust-Based Media Parser to Block Malware on 3 Billion Devices

OpenAI Introduces Harness Engineering: Codex Agents Power Large‑Scale Software Development

Reducing Onboarding from 48 Hours to 4: inside Amazon Key’s Event-Driven Platform

Spec-Driven Development – Adoption at Enterprise Scale

How a Small Enablement Team Supported Adopting a Single Environment for Distributed Testing

Beyond Code: How Engineers Need to Evolve in the AI Era

Creating Impactful Teams through Diversity Using Session 0

OpenAI Launches Frontier, a Platform to Build, Deploy, and Manage AI Agents Across the Enterprise

DevOps Modernization: AI Agents, Intelligent Observability and Automation

Hugging Face Introduces Community Evals for Transparent Model Benchmarking

OpenTelemetry Project Publishes “Demystifying OpenTelemetry” Guide to Broaden Observability Adoption

Leapwork Research Shows Why AI in Testing Still Depends on Reliability, Not Just Innovation

Proactive Autoscaling for Edge Applications in Kubernetes

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