Production Patterns for Agents, Evals, and LLM Costs: QCon AI New York 2026
Once AI is in production, code arrives faster than it can be reviewed, token costs rise, evals have to be good enough to act on, and agents need per…
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Presentation: Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform
Pratik Rasam discusses how Spotify Ads Manager runs production-grade multi-agent systems at scale using Google ADK Java. He shares key architectural…
QCon London 2027 Announces 15 Tracks on Production AI, Architecture, and Engineering at Scale
A preview of the 15-track QCon London 2027 program, covering agent evaluation and guardrails, AI-era architecture, distributed-system debugging, mod…
Akka Tests Spec-Driven AI Delivery Across 65 Open Source Projects
Akka used 65 open-source projects to examine how specification structure, context, model selection, automated validation, and delivery guardrails af…
Docker Sandbox Kit Spec: Packaging AI Agent Permissions as OCI Images
Docker has announced that it is bringing the Sandbox Kit Specification to the CNCF, aiming to make what an AI agent may access as portable as the ag…
TypeSafe AI Releases Jev: A Decision-Only Model That Returns Typed Probabilities Instead of Text
TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, has introduced Jev, a decision-making model that generates typed outputs rather than…
Cursor Uses S3 WAL to Scale Git Storage to More than 300 Pushes per Second
Cursor has introduced Continuity, a Git storage architecture that uses an S3 backed write ahead log as the source of truth. The design turns local N…
Stateless MCP Removes Session Affinity Requirements for AWS Server Deployments
AWS details how the latest Model Context Protocol specification removes protocol-level sessions, sticky-session requirements, and session storage fo…
From Agent Authorization to AI Production Evaluation: QCon AI New York 2026
QCon AI New York has confirmed 23 sessions covering agent authorization, production guardrails, shared inference infrastructure, and the evaluation…
Presentation: Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP
Ajay Prakash discusses how LinkedIn overcomes AI agent limitations in large codebases. He explains Contextual Agent Playbooks and Tools - built on M…
DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags
DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow comb…
Kubernetes Multi-Cluster Project Karmada Reaches CNCF Graduation
The Cloud Native Computing Foundation (CNCF) announced on September 2026 that Karmada, a multi-cluster and multi-cloud Kubernetes orchestration proj…
Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI
Dropbox has outlined how a decade of infrastructure optimization is helping it absorb growing demand from AI without treating new data-center capaci…
Podcast: How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman
In this podcast, Michael Stiefel spoke to Scott Hanselman about developing new software engineers when artificial intelligence agents are doing most…
Presentation: A Few Predicted Talks From QConAI 2030
Meryem Arik discusses her predictions for software engineering in 2030. She explains how token spend management, parallel agent infrastructure, and…
Mini book: 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 prac…
HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure
HashiCorp is positioning HCP Terraform as the governance and control plane for a new generation of AI-driven infrastructure, arguing that the rapid…
HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure
HashiCorp is positioning HCP Terraform as the governance and control plane for a new generation of AI-driven infrastructure, arguing that the rapid…
DoorDash’s Flux Runs 130,000 Engineering Tasks Through Cloud-Based Agents
DoorDash has moved engineering agent workloads from developer laptops to its Flux cloud platform. The platform automated 130,000 engineering tasks i…
Foundry Model Router Expands from Two Regions to 28, Refreshing Its Model Pool
Microsoft expanded Foundry's model router from two regions to 28 for global standard and 21 for data zone deployments, while adding Claude Opus 4.8…
Presentation: Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models
Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic logic and non-determinist…
Meta Expands Its Custom Silicon Strategy From Compute Into Networking
Meta has detailed MTIA 300, its first in-house accelerator optimized for training ranking and recommendation models. By Matt Foster
Diagrid Catalyst 2.0 Adds Durable and Verifiable Execution for AI Agents
Diagrid Catalyst 2.0 applies Dapr-based recovery, signed workflow history and execution attestation across several agent frameworks. Architects shou…
Presentation: SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Bruna Pereira explains how DoorDash built a content-agnostic AI moderation platform. She covers replacing costly LLM-only pipelines with a hybrid pa…
Cloudflare Cuts Astro Github Issues by 85% with AI Agents
Cloudflare, Astro, AI agents, GitHub Actions, issue triage, agentic AI, software architecture, open source, developer tools, AI automation, automate…
InfoQ Opens Enrollment for New AI-Assisted Engineering Online Certification Program
InfoQ has opened enrollment for the InfoQ Certified AI-Assisted Engineering Program, a five-week online certification program for senior engineers a…
Presentation: From Fab To Token - The State Of The Market
Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing fro…
Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents
Grab is using AI agents to automate analytics workflows, cutting mechanical analyst work from 44% in February to 30% in June. Its approach combines…
Podcast: Will Agentic AI Bring Fantasia’s Sorcerer's Apprentice to Life?: A Conversation with Tracy Bannon
In this podcast, Michael Stiefel spoke to Tracy Bannon about the role of artificial intelligence in software and the attendant risks in the areas of…
Presentation: From Thousands to One: Building LLM-Powered Selection Systems
Jendrik Jördening shares practical engineering strategies for integrating LLMs into production pipelines. He discusses overcoming non-determinism, r…