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Development

Featured in Development

Instrumentation at Scale: Having Your Performance Cake and Eating It Too

Brian Martin discusses the real-world performance costs of metrics libraries and shares strategies for low-overhead, "fearless" instrumentation. Drawing from his work at IOP Systems, he explores atomic primitives, per-CPU sharding, lock-free histograms, and eBPF integration to help software architects and engineering leaders maintain full system visibility without sacrificing performance.

All in development

Architecture & Design

Featured in Architecture & Design

Next-Gen Architecture Playbook: Insights and Patterns for the AI Era

This eMag examines how architects can lead with clarity in a rapidly evolving engineering world, distilling industry insights into field-tested practices for teams. Together, these stories reveal a core theme: the technology leader’s role is expanding from building systems to guiding how tech behaves and learns, while enabling engineers and organizations to bring out their best.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

From AI Agent Demo to Production: Automated Testing and Evaluation

Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn how Columbia and Arklex AI use synthetic user personas, trajectory entropy, and automated CI/CD pipelines to evaluate multi-turn agents, catch edge cases before deployment, and scale self-learning workflows in production.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Personality Over Skillset: How Adam Wachtel Builds Engineering Teams

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Adam Wachtel, CTO at Click Boarding, about hiring for personality and problem-solving over pure skillset, turning around a platform and team in crisis, and how AI is reshaping team size and composition without ending SAAS.

All in culture-methods

DevOps

Featured in DevOps

Can Claude Fix Itself? Using LLMs for Incident Response

Anthropic reliability engineer Alex Palcuie shares practical lessons on using LLMs for real-world incident response. He explains where AI acts as a superhuman for observing logs and traces, why it still struggles with causation versus correlation during root-cause analysis, and how engineering leaders can integrate AI into on-call workflows without eroding human expertise.

All in devops

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Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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DevOps

Can Claude Fix Itself? Using LLMs for Incident Response

Anthropic's Alex Palcuie shares how LLMs transform incident response, highlighting where Claude excels at log analysis and why automated AI SREs still can't replace human judgment.

Alex Palcuie
on Aug 26, 2026

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45:17

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Topics

Instrumentation at Scale: Having Your Performance Cake and Eating It Too

Next-Gen Architecture Playbook: Insights and Patterns for the AI Era

From AI Agent Demo to Production: Automated Testing and Evaluation

Personality Over Skillset: How Adam Wachtel Builds Engineering Teams

Can Claude Fix Itself? Using LLMs for Incident Response

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Choose your language

Presentations

Can Claude Fix Itself? Using LLMs for Incident Response

CERN Renounces RHEL in Favor of Debian for Its Accelerator Controls Infrastructure

Beyond Zero: Google Publishes Successor to BeyondCorp

Redefining GIS: Declarative Symbology and Collaborative Workflows in JupyterGIS

Netflix Moves Toward Open Source Flink Autoscaler for 30,000+ Streaming Jobs

Airbnb Cuts Authentication Code by 60% with Server Driven Architecture

Next-Gen Architecture Playbook: Insights and Patterns for the AI Era

Personality Over Skillset: How Adam Wachtel Builds Engineering Teams

Rigorous Yet Sustainable Human Reviews in the AI Era

How to Make Testing More Sustainable

From AI Agent Demo to Production: Automated Testing and Evaluation

Google Mantis: an Agentic Vulnerability Scanning Harness for Reducing False Positives

A Few Predicted Talks From QConAI 2030

How Figma Uses AI Agents for Security

Kubernetes Promotes KYAML as a Safer, More Consistent Way to Work with Manifests

HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure

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