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Development

Featured in Development

Panel: Security Against Modern Threats

The panelists discuss the dramatic escalation of software supply chain threats, from typosquatting to AI-generated vulnerabilities. They explain how to move beyond basic scanning by adopting a zero trust mindset toward CI/CD pipelines and external dependencies.

All in development

Architecture & Design

Featured in Architecture & Design

Architectural Governance at AI Speed

In the GenAI era, code is a commodity, but alignment is not. Traditional review boards can't scale with AI-generated output. This article explores "Declarative Architecture" - transforming ADRs and Event Models into automated guardrails. Move beyond "dumping left" to a model where the conformant path is the path of least resistance, enabling decentralized governance without losing cohesion.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Open Source, Community, and Consequence: The Story of MongoDB

Andrew Davidson and Akshat Vig discuss the journey of disrupting the transactional database market. They explain why the document model became the "Buckminster Fuller" moment for modern apps and share lessons on scaling from "web-scale" memes to mission-critical workloads. Leaders will learn about operational excellence, monetizing convenience over control, and navigating the open-source race.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

From Friction to Flow: How Great DevEx Makes Everything Awesome

Nicole Forsgren discusses the "AI Productivity Paradox", explaining why generating code faster often makes deployment bottlenecks more expensive. She shares the DevEx framework to help architects and leaders systematically remove friction. Learn how to use DORA metrics and RICE prioritization to make a data-driven case for platform health.

All in culture-methods

DevOps

Featured in DevOps

Configuration as a Control Plane: Designing for Safety and Reliability at Scale

Configuration has evolved from static deployment files into a live control plane that directly shapes system behavior. The evolution of configuration management highlights why misconfigurations can trigger large outages and how hyperscalers deploy changes safely using staged rollouts, validation, blast radius limits, and automated rollback at scale.

All in devops

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AI, ML & Data Engineering

Architecting Agentic MLOps: a Layered Protocol Strategy with A2A and MCP

In this article, the authors outline protocols for building extensible multi-agent MLOps systems. The core architecture deliberately decouples orchestration from execution, allowing teams to incrementally add capabilities via discovery and evolve operations from static pipelines toward intelligent, adaptive coordination.

Shashank Kapoor Sanjay Surendranath Girija Lakshit Arora
on Feb 16, 2026
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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