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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

The Evolution of Agentic Harnesses: From Chains to Graph to Code

Agentic LLM systems have moved from linear prompt chains to graph-based workflows and, more recently, code-executing harnesses. Chains are simple but fragile, graphs add branching, retries, and validation, and code harnesses verify outputs through execution. The article advises validating model outputs and choosing the least complex design that meets reliability, speed, and cost needs.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Actors for Agents: Patterns for Production AI

Manju Rajashekhar explains how the actor model solves the complex runtime challenges of production AI agents. By treating agents as distributed systems, he discusses state ownership, message passing, write-through state, and supervision boundaries to manage failures, continuations, and mutable execution graphs, moving agentic workflows beyond fragile demos to resilient architecture.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

AI is an Amplifier: Scale High Performance, Not Dysfunction

Nathen Harvey shares insights from DORA research on AI adoption in software delivery. He explains why AI acts as an amplifier, how the DORA AI Capabilities Model drives outcomes, and why engineering leaders must evolve beyond bottlenecks like code reviews to achieve sustainable productivity, reduce delivery instability, and empower developers without burning out their teams.

All in culture-methods

DevOps

Featured in DevOps

Exploding GPUs and the AI Infrastructure Challenge

Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.

All in devops

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AI Security & Privacy Engineering Certification

Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
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Work through your production AI decisions with senior engineers from other companies. Apply their perspectives to challenges from your own work.
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Building RAG pipelines or AI agents? Work through retrieval, context, evals, and reliability decisions with experienced practitioners.
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Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
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QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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What early-adopter teams have proven in production, across 15 engineering tracks.
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Learn from the decisions and trade-offs behind AI systems already running in production.
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The eBPF Foundation Aims to Further Advance eBPF Features and Adoption

eBPF, a technology used to extend the Linux kernel capabilities without requiring to change its code or reload kernel modules, now has its own foundation hosted within the Linux Foundation, announce Facebook, Google, Isovalent, and other founding members.

Sergio De Simone
on Aug 20, 2021

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Topics

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

The Evolution of Agentic Harnesses: From Chains to Graph to Code

Actors for Agents: Patterns for Production AI

AI is an Amplifier: Scale High Performance, Not Dysfunction

Exploding GPUs and the AI Infrastructure Challenge

Helpful links

Choose your language

News

The eBPF Foundation Aims to Further Advance eBPF Features and Adoption

PHP Patches Two Critical RCE Flaws That Were Already Under Attack

PingCAP Breach Exposes Customer Records and Source Code

Google Optimizes Agent Development Kit's 200K-line Python Codebase Overnight with Gemini 4 Argon

Readyon Builds Four Layer Tenant Isolation for Multi Tenant Amazon EKS

The Evolution of Agentic Harnesses: From Chains to Graph to Code

Cloudflare Reclaims 100 TB of RAM by Optimizing Consistent Hashing

AI is an Amplifier: Scale High Performance, Not Dysfunction

Optimizing Software Workflow: Exploring Fundamental Impacts in Technology

The Minimum Viable Manager: Building Trust, Feedback, and Alignment

AGNTCon + MCPCon 2026: Agentic AI Foundation Adds Four Projects as MCP Turns to Security

DigitalOcean Launches Learning and Data Services to Enable Self-Improving AI Agents

Production AI and Engineering Team Design: InfoQ’s November Certification Cohorts

OpenTofu 1.13 Lets Module Authors Reduce Unknown Values at Plan Time

Cloudflare Brings On-Demand CPU and Memory Profiling to Production Workers

Harbor Adds Docker Sandboxes to Run Reproducible AI Agent Evals in Isolated MicroVMs

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