At #Netflix, #observability is a data engineering problem - not a tooling problem. With 65M concurrent streams and 38M+ log events/sec, reactive debugging doesn't cut it. 🔗 Netflix uses Knowledge Graphs (Ontologies), W3C standards, and LLMs to power AutoSRE & self-healing infra: buff.ly/fIoqHqD

#GitHub migrated 800k+ lines of Copilot code from TypeScript to #RustLang in 14.5 weeks using Copilot. Results: ▫️ Startup time dropped 5.25s ➡️ 292ms ▫️ Shipped 135 releases during the rewrite with zero downtime ▫️ 128 PRs via incremental N-API interop 🔗 buff.ly/DtnmdrC #AI #SoftwareArchitecture

What did the RAG system retrieve? Lan Chu's team traced most failures to indexing and retrieval. Review her AI Engineering syllabus: buff.ly/65G7fez

AI Engineering Cohort for Production AI Systems | InfoQ

Move from AI prototype to production. A 5-week online cohort facilitated by Hien Luu, author of MLOps with Ray. Pressure-test architectural decisions.

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Shopify rebuilt its Checkout Blocks app with Preact and Polaris web components, cutting bundle sizes by up to 85% and median load times by ~8%. The key? Replacing React with Preact and enforcing a strict 64KB gzip limit per extension. 📖 Read now: buff.ly/NwOATfr #WebDev #React #Performance #InfoQ

Generating a change and verifying it are separate jobs. What should an independent reviewer check? Review the InfoQ AI-Assisted Engineering Program syllabus: buff.ly/RkFm7v4

Online AI-Assisted Engineering Cohort | Harness Engineering | InfoQ

The harness around your coding agents: permissions, sensors, review, CI. Four hours a week for five weeks, with Zichuan Xiong and Prem Chandrasekaran.

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Your GPUs are fast. Your data pipeline isn’t. Every ML training run pays a data movement tax. Vortex bypasses the CPU bottleneck to stream compressed data directly to GPU memory. 🎥 Onur Satici explains how it works! Watch now: buff.ly/BbBbLq5 #MachineLearning #GPU #CUDA #InfoQ

Microsoft releases #Aspire 13.6 with dashboard updates, Java and Rust hosting packages, and new CLI options. ➡️ SQLite-backed telemetry ➡️ Up to 10 completed runs per app ➡️ Portable volume paths ➡️ Breaking changes to MongoDB TLS and the Cosmos DB emulator 📖 Learn more: buff.ly/jASyCDl #DotNet #InfoQ

A privacy control needs a specific place in the data flow. Mapping a workflow gives the control a purpose and an enforcement point. Review the AI Security & Privacy syllabus: buff.ly/mXHdTLu

#Cloudflare recently launched the open beta of cf - an open-source CLI built for developers & AI agents. Written in TypeScript, it unifies access to Cloudflare services with structured output and command discovery. 📖 Learn more: buff.ly/ZMBPPwm #AI #AIcodingAgents #CLI #OpenSource #InfoQ

AI coding agents are moving faster than product teams can keep up. What needs to change? Hannah Foxwell shares 3 anchors for navigating AI-driven velocity: 🎯 Build something worth building 🛡️ Speed requires safety 👥 People matter ➡️ Watch now: buff.ly/hlLsuSv #TechLeadership #DevEx #InfoQ

#AICodingAgents write code faster. But 79% of engineering leaders say overall release speed hasn't improved. Why the gap? ➡️ 16.9 hours/week spent debugging AI-generated code ➡️ 35% of AI code reaches production before teams fully understand it 📖 Read more: buff.ly/RoDA9iQ #InfoQ #Debugging

What is an ontology, and why is #Netflix using one for observability? An ontology encodes meaning through simple Subject-Predicate-Object triples, helping connect data and make it more useful for enterprise AI. 🎥 Watch the full video: buff.ly/fIoqHqD #Observability #AIOps #DataEngineering

Grab migrated its high-volume Counter Service to #Aerospike, cutting p99 read latency by ~50%, disk usage from 3 TB to 1 TB, and cost per node by 45–50%. How? Storage abstraction, shadow traffic, data parity checks, gradual migration, and a redesigned data model. 📖 buff.ly/GVZCsUB #InfoQ

Team structure, delivery flow, AI roles, and metrics constrain one another. Review the InfoQ High-Performing Teams program: buff.ly/rTPM43E

High-Performing Engineering Teams Cohort | InfoQ

Compare team structure, flow, AI roles, and metrics with experienced practitioners from other organizations over five live weeks.

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How do you guarantee session-level message ordering across thousands of #ApacheKafka channels? Joshua Oluikpe explains a Go-based approach using consistent hashing, retries, and contiguous watermark commits. 🔍 Dive deep - buff.ly/0z4SKkI #Golang #DistributedSystems #SoftwareArchitecture #InfoQ

It’s been a busy week in the #Java ecosystem! ➤ The GA releases of JobRunr 9.0 and OpenXava 8.0; point releases for Quarkus, Micronaut, LangChain4j, Eclipse JNoSQL; ADK for Java and ADK for Kotlin; and introducing Lathe, a new Java language server. 🔗 #InfoQ News Roundup: buff.ly/UWHCgl4

Security is moving from human vigilance to automated, system-level defenses. Explore: → CHERI hardware memory safety for legacy C/C++ → SBOMs under the EU Cyber Resilience Act → Crypto-agility for the post-quantum era → Least-privilege access for AI agents 🎧 buff.ly/8C6TAdA #Security #InfoQ

OpenTelemetry’s Kubernetes Attributes Processor is now stable in v1.0.0! ⚠️ K8s Semantic Conventions introduce breaking attribute name changes. Update dashboards and alerts when migrating. Read the full breakdown 👉 buff.ly/IIkHNCN #OpenTelemetry #Kubernetes #Observability #DevOps #InfoQ

In the InfoQ AI Security & Privacy Engineering Program, you can bring a current AI security or privacy problem to map, threat model, red team, and test. Review the five-week program: buff.ly/rs7wTZw

Online AI Security & Privacy Engineering Cohort | InfoQ

AI security and privacy engineering for regulated industries. A 5-week online cohort with Katharine Jarmul, four hours a week.

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5 practitioners building, securing & running AI systems join a free live #InfoQ panel on Oct. 14 at 11 AM ET. They’ll discuss: → Human approval for AI agents → Reviewing AI-generated changes → AI data access → RAG beyond the demo Can’t make it live? Register for the recording. 🔗 buff.ly/DANsBz5

AI in Production: What Breaks, What Works, and Who Approves It? | InfoQ Webinar

On October 14, InfoQ hosts a free 60-minute panel with five practitioners on running AI in production. They'll discuss agent autonomy and human approval, how to verify AI-generated changes, sensitive-...

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Decades of software management taught us one rule: developers will always have more work than time. AI velocity just broke that rule. Teams are now moving so fast they’re outpacing their pipelines - and running out of qualified work to build. 🔗 Watch now: buff.ly/hlLsuSv #InfoQ

I chatted to Olimpiu Pop on the @infoq.com Podcast about this year's QCon London security track, and some plans for next year's. We talk about hardware (#CHERI), #CRA and #SBOM, #postquantum_cryptography and of course #LLM and #AI www.infoq.com/podcasts/fut...

Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography

In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and teases topics of the future edition. The discussion exp...

infoq.com

In this article, Aditya Mulik explains how treating the #LLM stack as platform infrastructure reduced hallucinations from 15% to 1.5% in a production inventory recommendation system. → Prompt registry & versioning → Schema enforcement & retry loops → Token cost attribution 📖 buff.ly/S9ss7s9

Akka tested a spec-driven AI porting workflow across 65 open-source projects: ➡️ 9.41B tokens ➡️ 99.3 hours ➡️ 57 ports with fewer lines See what worked, where Sonnet vs. Opus differed, and why infrastructure projects often lost performance ⇨ buff.ly/4CnRx6l #InfoQ #AI #SpecDrivenDevelopment

✈️ Airplanes can fly themselves, yet we still need pilots. Why? Automation generates output. Humans decide if it’s safe. #Spotify found the same problem with AI coding: generating code isn’t the bottleneck. Reviewing AI-generated PRs at scale is. 🎬 buff.ly/qaaijs5 #AI #CodeReview #InfoQ

AI can accelerate software development - but it can also slow skill development. Engineers still need to understand how systems work. Sometimes, learning means slowing down. Senior developers can help juniors build skills, not just ship faster. 🔗 Learn more: buff.ly/tKZaFg7 #InfoQ #AI #Learning

#AWS open-sourced Pizza Bot - a self-hosted app for running AI agents in the background. Agents can schedule tasks, delegate work, respond to webhooks, and pause for human approval. 🔗 Details here: buff.ly/GCLo7td #InfoQ #AI #AIAgents #AIcodingAgents #ModelContextProtocol #opensource

What verifies an agent’s code before a human sees it or the agent runs unattended in CI? Review the AI-Assisted Engineering syllabus: buff.ly/kElpqrN

Online AI-Assisted Engineering Cohort | Harness Engineering | InfoQ

The harness around your coding agents: permissions, sensors, review, CI. Four hours a week for five weeks, with Zichuan Xiong and Prem Chandrasekaran.

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What happens to observability, incident management, and SRE when agents write & run code in production? This #InfoQ panel explores why traditional observability falls short - and what production engineering looks like in the agentic AI era. 🎬 Watch now: buff.ly/tLDLZH0 #AIOps #SRE #Observability

A Schema Registry isn’t just storage. It’s your event-driven architecture’s contract enforcer. It blocks breaking schema changes before they hit production. ➡️ No broken consumers ➡️ No downstream fire drills Watch now - buff.ly/O2v0PaY #EventDrivenArchitecture #Microservices #Kafka