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Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

Panel: Who Builds the Frontend Now? (And What Breaks When They Do)

The panelists explain how AI tools and vibe coding reshape frontend and mobile engineering. They share insights on evolving junior developer roles, managing AI-generated code review fatigue, designing systems for autonomous agents, enforcing architectural guardrails, and navigating economic shifts in open-source software sustainability.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Zero Trust Agent Systems that Pass Audits and Still Ship

Advait Patel shares a playbook for securing AI agent systems in production. He discusses moving defense boundaries from the prompt to the tool layer, enforcing scoped workload identities, and mitigating prompt injection via tool outputs. He explains how to structure audit-ready observability and implement kill switches to protect critical data while keeping deployment fast and compliant.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The Socio-Technical Staff+ Engineer: Architecture, Culture and Organisational Change

Vanessa Formicola shares how technical leaders can move beyond "wishful architecture" by practicing holistic socio-technical engineering. She discusses why engineering leaders must account for organizational maturity, reward structures, geopolitical climate, and team dynamics, framing the staff-plus role as designing the conditions for technology to thrive rather than just picking tools.

All in culture-methods

DevOps

Featured in DevOps

Wrangling Telemetry at Scale: a Guide to Self-Hosted Observability

Colin Douch shares battle-tested strategies for building and scaling self-hosted observability stacks. He explains how to effectively correlate metrics, structured logs, and distributed traces using open-source tooling like Prometheus, VictoriaMetrics, and Jaeger, while navigating the engineering trade-offs of avoiding SaaS vendor lock-in.

All in devops

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AI Engineering Certification

Work through your production AI decisions with senior engineers from other companies. Apply their perspectives to challenges from your own work.
Online. Register Now.

AI Engineering Certification

Building RAG pipelines or AI agents? Work through retrieval, context, evals, and reliability decisions with experienced practitioners.
Online. Register Now.

High-Performing Teams Certification

Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
Online. Register Now.

Architect Certification

Distributed systems, decentralized decisions, platform engineering, and AI architecture.
Online. Register Now.

QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
Register. Early bird ends Nov 10.

QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
Register. Early bird ends Nov 10.

QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
Register. Early bird ends Nov 10.

QCon AI Boston

Learn from the decisions and trade-offs behind AI systems already running in production.
Registration open.

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AI, ML & Data Engineering

Why Most Machine Learning Projects Fail to Reach Production

In this article, the author diagnoses common failures in ML initiatives, including weak problem framing and the persistent prototype-to-production gap. The piece provides practical, experience-based guidance on setting clear business goals, treating data as a product, and aligning cross-functional teams for reliable, production-ready ML delivery.

Wenjie Zi
on Feb 02, 2026
AI, ML & Data Engineering

Virtual Panel - AI in the Trenches: How Developers Are Rewriting the Software Process

This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape of software development. Practitioners share their insights on successes and failures when AI is incorporated into daily workflows, emphasizing the significance of context, validation, and cultural adaptation in making AI a sustainable element of modern engineering practices.

Arthur Casals Mariia Bulycheva May Walter Phil Calçado Andreas Kollegger
on Jan 26, 2026

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